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		<title>Genes</title>
		<link>http://www.mdpi.com/journal/genes</link>
		<description>Latest open access articles published in Genes at http://www.mdpi.com/journal/genes</description>
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        <item rdf:about="http://www.mdpi.com/2073-4425/4/2/293">
	<title><![CDATA[Genes, Vol. 4, Pages 293-305: RNAi-Mediated Gene Silencing in a Gonad Organ Culture to Study Sex Determination Mechanisms in Sea Turtle]]></title>
	<link>http://www.mdpi.com/2073-4425/4/2/293</link>
	<description>The autosomal Sry-related gene, Sox9, encodes a transcription factor, which performs an important role in testis differentiation in mammals. In several reptiles, Sox9 is differentially expressed in gonads, showing a significant upregulation during the  thermo-sensitive period (TSP) at the male-promoting temperature, consistent with the idea that SOX9 plays a central role in the male pathway. However, in spite of numerous studies, it remains unclear how SOX9 functions during this event. In the present work, we developed an RNAi-based method for silencing Sox9 in an in vitro gonad culture system for the sea turtle, Lepidochelys olivacea. Gonads were dissected as soon as the embryos entered the TSP and were maintained in organ culture. Transfection of siRNA resulted in the decrease of both Sox9 mRNA and protein. Furthermore, we found coordinated expression patterns for Sox9 and the anti-Müllerian hormone gene, Amh, suggesting that SOX9 could directly or indirectly regulate Amh expression, as it occurs in mammals. These results demonstrate an in vitro method to knockdown endogenous genes in gonads from a sea turtle, which represents a novel approach to investigate the roles of important  genes involved in sex determination or differentiation pathways in species with temperature-dependent sex determination.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-06-07</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Communication</prism:section>
	<prism:doi>10.3390/genes4020293</prism:doi>
	<prism:startingPage>293</prism:startingPage>
		<prism:endingPage>305</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[RNAi-Mediated Gene Silencing in a Gonad Organ Culture to Study Sex Determination Mechanisms in Sea Turtle]]></dc:title>
    <dc:date>2013-06-07</dc:date>
	<dc:identifier>doi: 10.3390/genes4020293</dc:identifier>
    	<dc:creator>Itzel Sifuentes-Romero</dc:creator>
		<dc:creator>Horacio Merchant-Larios</dc:creator>
		<dc:creator>Sarah Milton</dc:creator>
		<dc:creator>Norma Moreno-Mendoza</dc:creator>
		<dc:creator>Verónica Díaz-Hernández</dc:creator>
		<dc:creator>Alejandra García-Gasca</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/2/275">
	<title><![CDATA[Genes, Vol. 4, Pages 275-292: Altered Ca2+ Homeostasis and Endoplasmic Reticulum Stress in Myotonic Dystrophy Type 1 Muscle Cells]]></title>
	<link>http://www.mdpi.com/2073-4425/4/2/275</link>
	<description>The pathogenesis of Myotonic Dystrophy type 1 (DM1) is linked to unstable CTG repeats in the DMPK gene which induce the mis-splicing to fetal/neonatal isoforms of many transcripts, including those involved in cellular Ca2+ homeostasis. Here we monitored the splicing of three genes encoding for Ca2+ transporters and channels (RyR1, SERCA1 and CACN1S) during maturation of primary DM1 muscle cells in parallel with the functionality of the Excitation-Contraction (EC) coupling machinery. At 15 days of differentiation, fetal isoforms of SERCA1 and CACN1S mRNA were significantly higher in DM1 myotubes compared to controls. Parallel functional studies showed that the cytosolic Ca2+ response to depolarization in DM1 myotubes did not increase during the progression of differentiation, in contrast to control myotubes. While we observed no differences in the size of intracellular Ca2+ stores, DM1 myotubes showed significantly reduced RyR1 protein levels, uncoupling between the segregated ER/SR Ca2+ store and the voltage-induced Ca2+ release machinery, parallel with induction of endoplasmic reticulum (ER) stress markers. In conclusion, our data suggest that perturbed Ca2+ homeostasis, via activation of ER stress, contributes to muscle degeneration in DM1 muscle cells likely representing a premature senescence phenotype.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-06-04</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes4020275</prism:doi>
	<prism:startingPage>275</prism:startingPage>
		<prism:endingPage>292</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Altered Ca2+ Homeostasis and Endoplasmic Reticulum Stress in Myotonic Dystrophy Type 1 Muscle Cells]]></dc:title>
    <dc:date>2013-06-04</dc:date>
	<dc:identifier>doi: 10.3390/genes4020275</dc:identifier>
    	<dc:creator>Annalisa Botta</dc:creator>
		<dc:creator>Adriana Malena</dc:creator>
		<dc:creator>Emanuele Loro</dc:creator>
		<dc:creator>Giulia Del Moro</dc:creator>
		<dc:creator>Matteo Suman</dc:creator>
		<dc:creator>Boris Pantic</dc:creator>
		<dc:creator>Gyorgy Szabadkai</dc:creator>
		<dc:creator>Lodovica Vergani</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/2/264">
	<title><![CDATA[Genes, Vol. 4, Pages 264-274: Molecular Expression of the Scribble Complex Genes, Dlg, Scrib and Lgl, in Silkworm, Bombyx mori]]></title>
	<link>http://www.mdpi.com/2073-4425/4/2/264</link>
	<description>The Scribble protein complex genes, consisting of lethal giant larvae (Lgl), discs large (Dlg) and scribble (Scrib) genes, are components of an evolutionarily conserved genetic pathway that links the cell polarity in cells of humans and Drosophila. The tissue expression and developmental changes of the Scribble protein complex genes were documented using qRT-RCR method. The Lgl and Scrib genes could be detected in all the experimental tissues, including fat body, midgut, testis/ovary, wingdisc, trachea, malpighian tubule, hemolymph, prothoracic gland and silk gland. The Dlg gene, mainly expressed only in testis/ovary, could not be detected in prothoracic gland and hemolymph. In fat body, there were two higher expression stages of the three genes. The highest peak of the expression of the Lgl and Scrib genes in wingdisc lay at the 1st day of the 5th instar, but the Dlg gene was at 3rd day of 5th instar. The above results indicate that Scribble complex genes are involved in the process of molting and development of the wingdisc in the silkworm. This will be useful in the future for the elucidation of the detailed biological function of the three genes Scrib, Dlg and Lgl in B. mori.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-05-30</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes4020264</prism:doi>
	<prism:startingPage>264</prism:startingPage>
		<prism:endingPage>274</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Molecular Expression of the Scribble Complex Genes, Dlg, Scrib and Lgl, in Silkworm, Bombyx mori]]></dc:title>
    <dc:date>2013-05-30</dc:date>
	<dc:identifier>doi: 10.3390/genes4020264</dc:identifier>
    	<dc:creator>Hai-Sheng Qi</dc:creator>
		<dc:creator>Shu-Min Liu</dc:creator>
		<dc:creator>Sheng Li</dc:creator>
		<dc:creator>Zhao-Jun Wei</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/2/244">
	<title><![CDATA[Genes, Vol. 4, Pages 244-263: MicroRNAs and Molecular Mechanisms of Neurodegeneration]]></title>
	<link>http://www.mdpi.com/2073-4425/4/2/244</link>
	<description>During the last few years microRNAs (miRNAs) have emerged as key mediators of post-transcriptional and epigenetic regulation of gene expression. MiRNAs targets, identified through gene expression profiling and studies in animal models, depict a scenario where miRNAs are fine-tuning metabolic pathways and genetic networks in both plants and animals. MiRNAs have shown to be differentially expressed in brain areas and alterations of miRNAs homeostasis have been recently correlated to pathological conditions of the nervous system, such as cancer and neurodegeneration. Here, we review and discuss the most recent insights into the involvement of miRNAs in the neurodegenerative mechanisms and their correlation with significant neurodegenerative disorders.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-05-29</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes4020244</prism:doi>
	<prism:startingPage>244</prism:startingPage>
		<prism:endingPage>263</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[MicroRNAs and Molecular Mechanisms of Neurodegeneration]]></dc:title>
    <dc:date>2013-05-29</dc:date>
	<dc:identifier>doi: 10.3390/genes4020244</dc:identifier>
    	<dc:creator>Ilaria Bicchi</dc:creator>
		<dc:creator>Francesco Morena</dc:creator>
		<dc:creator>Simona Montesano</dc:creator>
		<dc:creator>Mario Polidoro</dc:creator>
		<dc:creator>Sabata Martino</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/2/226">
	<title><![CDATA[Genes, Vol. 4, Pages 226-243: High SINE RNA Expression Correlates with  Post-Transcriptional Downregulation of BRCA1]]></title>
	<link>http://www.mdpi.com/2073-4425/4/2/226</link>
	<description>Short Interspersed Nuclear Elements (SINEs) are non-autonomous retrotransposons that comprise a large fraction of the human genome. SINEs are demethylated in human disease, but whether SINEs become transcriptionally induced and how the resulting transcripts may affect the expression of protein coding genes is unknown. Here, we show that downregulation of the mRNA of the tumor suppressor gene BRCA1 is associated with increased transcription of SINEs and production of sense and antisense SINE small RNAs. We find that BRCA1 mRNA is post-transcriptionally down-regulated in a Dicer and Drosha dependent manner and that expression of a SINE inverted repeat with sequence identity to a BRCA1 intron is sufficient for downregulation of BRCA1 mRNA. These observations suggest that transcriptional activation of SINEs could contribute to a novel mechanism of RNA mediated post-transcriptional silencing of human genes.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-04-29</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes4020226</prism:doi>
	<prism:startingPage>226</prism:startingPage>
		<prism:endingPage>243</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[High SINE RNA Expression Correlates with  Post-Transcriptional Downregulation of BRCA1]]></dc:title>
    <dc:date>2013-04-29</dc:date>
	<dc:identifier>doi: 10.3390/genes4020226</dc:identifier>
    	<dc:creator>Maureen Peterson</dc:creator>
		<dc:creator>Vicki Chandler</dc:creator>
		<dc:creator>Giovanni Bosco</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/2/198">
	<title><![CDATA[Genes, Vol. 4, Pages 198-225: Trapping DNA Replication Origins from the Human Genome]]></title>
	<link>http://www.mdpi.com/2073-4425/4/2/198</link>
	<description>Synthesis of chromosomal DNA is initiated from multiple origins of replication in higher eukaryotes; however, little is known about these origins’ structures. We isolated the origin-derived nascent DNAs from a human repair-deficient cell line by blocking the replication forks near the origins using two different origin-trapping methods (i.e., UV- or chemical crosslinker-treatment and cell synchronization in early S phase using DNA replication inhibitors). Single-stranded DNAs (of 0.5–3 kb) that accumulated after such treatments were labeled with bromodeoxyuridine (BrdU). BrdU-labeled DNA was immunopurified after fractionation by alkaline sucrose density gradient centrifugation and cloned by complementary-strand synthesis and PCR amplification. Competitive PCR revealed an increased abundance of DNA derived from known replication origins (c-myc and lamin B2 genes) in the nascent DNA fractions from the UV-treated or crosslinked cells. Nucleotide sequences of 85 and 208 kb were obtained from the two libraries (I and II) prepared from the UV-treated log-phase cells and early S phase arrested cells, respectively. The libraries differed from each other in their G+C composition and replication-related motif contents, suggesting that differences existed between the origin fragments isolated by the two different origin-trapping methods. The replication activities for seven out of 12 putative origin loci from the early-S phase cells were shown by competitive PCR. We mapped 117 (library I) and 172 (library II) putative origin loci to the human genome; approximately 60% and 50% of these loci were assigned to the G-band and intragenic regions, respectively. Analyses of the flanking sequences of the mapped loci suggested that the putative origin loci tended to associate with genes (including conserved sites) and DNase I hypersensitive sites; however, poor correlations were found between such loci and the CpG islands, transcription start sites, and K27-acetylated histone H3 peaks.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-04-17</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes4020198</prism:doi>
	<prism:startingPage>198</prism:startingPage>
		<prism:endingPage>225</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Trapping DNA Replication Origins from the Human Genome]]></dc:title>
    <dc:date>2013-04-17</dc:date>
	<dc:identifier>doi: 10.3390/genes4020198</dc:identifier>
    	<dc:creator>Toshihiko Eki</dc:creator>
		<dc:creator>Yasufumi Murakami</dc:creator>
		<dc:creator>Fumio Hanaoka</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/2/171">
	<title><![CDATA[Genes, Vol. 4, Pages 171-197: Non-Neuronal Functions of the M2 Muscarinic Acetylcholine Receptor]]></title>
	<link>http://www.mdpi.com/2073-4425/4/2/171</link>
	<description>Acetylcholine is an important neurotransmitter whose effects are mediated by two classes of receptors. The nicotinic acetylcholine receptors are ion channels, whereas the muscarinic receptors belong to the large family of G protein coupled seven transmembrane helix receptors. Beyond its function in neuronal systems, it has become evident that acetylcholine also plays an important role in non-neuronal cells such as epithelial and immune cells. Furthermore, many cell types in the periphery are capable of synthesizing acetylcholine and express at least some of the receptors. In this review, we summarize the non-neuronal functions of the muscarinic acetylcholine receptors, especially those of the M2 muscarinic receptor in epithelial cells. We will review the mechanisms of signaling by the M2 receptor but also the cellular trafficking and ARF6 mediated endocytosis of this receptor, which play an important role in the regulation of signaling events. In addition, we provide an overview of the M2 receptor in human pathological conditions such as autoimmune diseases and cancer.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-04-02</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes4020171</prism:doi>
	<prism:startingPage>171</prism:startingPage>
		<prism:endingPage>197</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Non-Neuronal Functions of the M2 Muscarinic Acetylcholine Receptor]]></dc:title>
    <dc:date>2013-04-02</dc:date>
	<dc:identifier>doi: 10.3390/genes4020171</dc:identifier>
    	<dc:creator>Wymke Ockenga</dc:creator>
		<dc:creator>Sina Kühne</dc:creator>
		<dc:creator>Simone Bocksberger</dc:creator>
		<dc:creator>Antje Banning</dc:creator>
		<dc:creator>Ritva Tikkanen</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/2/152">
	<title><![CDATA[Genes, Vol. 4, Pages 152-170: Signaling Pathways in Exosomes Biogenesis, Secretion and Fate]]></title>
	<link>http://www.mdpi.com/2073-4425/4/2/152</link>
	<description>Exosomes are small extracellular vesicles (30–100 nm) derived from the endosomal system, which have raised considerable interest in the last decade. Several studies have shown that they mediate cell-to-cell communication in a variety of biological processes. Thus, in addition to cell-to-cell direct interaction or secretion of active molecules, they are now considered another class of signal mediators. Exosomes can be secreted by several cell types and retrieved in many body fluids, such as blood, urine, saliva and cerebrospinal fluid. In addition to proteins and lipids, they also contain nucleic acids, namely mRNA and miRNA. These features have prompted extensive research to exploit them as a source of biomarkers for several pathologies, such as cancer and neurodegenerative disorders. In this context, exosomes also appear attractive as gene delivery vehicles. Furthermore, exosome immunomodulatory and regenerative properties are also encouraging their application for further therapeutic purposes. Nevertheless, several issues remain to be addressed: exosome biogenesis and secretion mechanisms have not been clearly understood, and physiological functions, as well as pathological roles, are far from being satisfactorily elucidated.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-03-28</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes4020152</prism:doi>
	<prism:startingPage>152</prism:startingPage>
		<prism:endingPage>170</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Signaling Pathways in Exosomes Biogenesis, Secretion and Fate]]></dc:title>
    <dc:date>2013-03-28</dc:date>
	<dc:identifier>doi: 10.3390/genes4020152</dc:identifier>
    	<dc:creator>Lorena Urbanelli</dc:creator>
		<dc:creator>Alessandro Magini</dc:creator>
		<dc:creator>Sandra Buratta</dc:creator>
		<dc:creator>Alessandro Brozzi</dc:creator>
		<dc:creator>Krizia Sagini</dc:creator>
		<dc:creator>Alice Polchi</dc:creator>
		<dc:creator>Brunella Tancini</dc:creator>
		<dc:creator>Carla Emiliani</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/2/134">
	<title><![CDATA[Genes, Vol. 4, Pages 134-151: A Novel Function for the Conserved Glutamate Residue in the Walker B Motif of Replication Factor C]]></title>
	<link>http://www.mdpi.com/2073-4425/4/2/134</link>
	<description>In all domains of life, sliding clamps tether DNA polymerases to DNA to increase the processivity of synthesis. Clamp loaders load clamps onto DNA in a multi-step process that requires ATP binding and hydrolysis. Like other AAA+ proteins, clamp loaders contain conserved Walker A and Walker B sequence motifs, which participate in ATP binding and hydrolysis, respectively. Mutation of the glutamate residue in Walker B motifs (or DExx-boxes) in AAA+ proteins typically reduces ATP hydrolysis by as much as a couple orders of magnitude, but has no effect on ATP binding. Here, the Walker B Glu in each of the four active ATP sites of the eukaryotic clamp loader, RFC, was mutated to Gln and Ala separately, and ATP binding- and hydrolysis-dependent activities of the quadruple mutant clamp loaders were characterized. Fluorescence-based assays were used to measure individual reaction steps required for clamp loading including clamp binding, clamp opening, DNA binding and ATP hydrolysis. Our results show that the Walker B mutations affect ATP-binding-dependent interactions of RFC with the clamp and DNA in addition to reducing ligand-dependent ATP hydrolysis activity. Here, we show that the Walker B glutamate is required for ATP-dependent ligand binding activity, a previously unknown function for this conserved Glu residue in RFC.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-03-26</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes4020134</prism:doi>
	<prism:startingPage>134</prism:startingPage>
		<prism:endingPage>151</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[A Novel Function for the Conserved Glutamate Residue in the Walker B Motif of Replication Factor C]]></dc:title>
    <dc:date>2013-03-26</dc:date>
	<dc:identifier>doi: 10.3390/genes4020134</dc:identifier>
    	<dc:creator>Ankita Chiraniya</dc:creator>
		<dc:creator>Jeff Finkelstein</dc:creator>
		<dc:creator>Mike O&#039;Donnell</dc:creator>
		<dc:creator>Linda Bloom</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/2/101">
	<title><![CDATA[Genes, Vol. 4, Pages 101-133: The Role of Mitogen-Activated Protein Kinase-Activated Protein Kinases (MAPKAPKs) in Inflammation]]></title>
	<link>http://www.mdpi.com/2073-4425/4/2/101</link>
	<description>Mitogen-activated protein kinase (MAPK) pathways are implicated in several cellular processes including proliferation, differentiation, apoptosis, cell survival, cell motility, metabolism, stress response and inflammation. MAPK pathways transmit and convert a plethora of extracellular signals by three consecutive phosphorylation events involving a MAPK kinase kinase, a MAPK kinase, and a MAPK. In turn MAPKs phosphorylate substrates, including other protein kinases referred to as MAPK-activated protein kinases (MAPKAPKs). Eleven mammalian MAPKAPKs have been identified: ribosomal-S6-kinases (RSK1-4), mitogen- and stress-activated kinases (MSK1-2), MAPK-interacting kinases (MNK1-2), MAPKAPK-2 (MK2), MAPKAPK-3 (MK3), and MAPKAPK-5 (MK5). The role of these MAPKAPKs in inflammation will be reviewed.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-03-26</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes4020101</prism:doi>
	<prism:startingPage>101</prism:startingPage>
		<prism:endingPage>133</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[The Role of Mitogen-Activated Protein Kinase-Activated Protein Kinases (MAPKAPKs) in Inflammation]]></dc:title>
    <dc:date>2013-03-26</dc:date>
	<dc:identifier>doi: 10.3390/genes4020101</dc:identifier>
    	<dc:creator>Ugo Moens</dc:creator>
		<dc:creator>Sergiy Kostenko</dc:creator>
		<dc:creator>Baldur Sveinbjørnsson</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/1/86">
	<title><![CDATA[Genes, Vol. 4, Pages 86-100: Adenosine Triphosphate (ATP) Is a Candidate Signaling Molecule in the Mitochondria-to-Nucleus Retrograde  Response Pathway]]></title>
	<link>http://www.mdpi.com/2073-4425/4/1/86</link>
	<description>Intracellular communication from the mitochondria to the nucleus is achieved via the retrograde response. In budding yeast, the retrograde response, also known as the RTG pathway, is regulated positively by Rtg1, Rtg2, Rtg3 and Grr1 and negatively by Mks1, Lst8 and two 14-3-3 proteins, Bmh1/2. Activation of retrograde signaling leads to activation of Rtg1/3, two basic helix-loop-helix leucine zipper transcription factors. Rtg1/3 activation requires Rtg2, a cytoplasmic protein with an N-terminal adenosine triphosphate (ATP) binding domain belonging to the actin/Hsp70/sugar kinase superfamily. The critical regulatory step of the retrograde response is the interaction between Rtg2 and Mks1. Rtg2 binds to and inactivates Mks1, allowing for activation of Rtg1/3 and the RTG pathway. When the pathway is inactive, Mks1 has dissociated from Rtg2 and bound to Bmh1/2, preventing activation of Rtg1/3. What signals association or disassociation of Mks1 and Rtg2 is unknown. Here, we show that ATP at physiological concentrations dissociates Mks1 from Rtg2 in a highly cooperative fashion. We report that ATP-mediated dissociation of Mks1 from Rtg2 is conserved in two other fungal species, K. lactis and  K. waltii. Activation of Rtg1/3 upregulates expression of genes encoding enzymes catalyzing the first three reactions of the Krebs cycle, which is coupled to ATP synthesis through oxidative phosphorylation. Therefore, we propose that the retrograde response is an ATP homeostasis pathway coupling ATP production with ATP-mediated repression of the retrograde response by releasing Mks1 from Rtg2.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-03-20</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes4010086</prism:doi>
	<prism:startingPage>86</prism:startingPage>
		<prism:endingPage>100</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Adenosine Triphosphate (ATP) Is a Candidate Signaling Molecule in the Mitochondria-to-Nucleus Retrograde  Response Pathway]]></dc:title>
    <dc:date>2013-03-20</dc:date>
	<dc:identifier>doi: 10.3390/genes4010086</dc:identifier>
    	<dc:creator>Feng Zhang</dc:creator>
		<dc:creator>Tammy Pracheil</dc:creator>
		<dc:creator>Janet Thornton</dc:creator>
		<dc:creator>Zhengchang Liu</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/1/65">
	<title><![CDATA[Genes, Vol. 4, Pages 65-85: Gene Expressions for Signal Transduction under Acidic Conditions]]></title>
	<link>http://www.mdpi.com/2073-4425/4/1/65</link>
	<description>Although it is now well known that some diseased areas, such as cancer nests, inflammation loci, and infarction areas, are acidified, little is known about cellular signal transduction, gene expression, and cellular functions under acidic conditions. Our group showed that different signal proteins were activated under acidic conditions compared with those observed in a typical medium of around pH 7.4 that has been used until now. Investigations of gene expression under acidic conditions may be crucial to our understanding of signal transduction in acidic diseased areas. In this study, we investigated gene expression in mesothelioma cells cultured at an acidic pH using a DNA microarray technique. After 24 h culture at pH 6.7, expressions of 379 genes were increased more than twofold compared with those in cells cultured at pH 7.5. Genes encoding receptors, signal proteins including transcription factors, and cytokines including growth factors numbered 35, 32, and 17 among the 379 genes, respectively. Since the functions of 78 genes are unknown, it can be argued that cells may have other genes for signaling under acidic conditions. The expressions of 37 of the 379 genes were observed to increase after as little as 2 h. After 24 h culture at pH 6.7, expressions of 412 genes were repressed more than twofold compared with those in cells cultured at pH 7.5, and the 412 genes contained 35, 76, and 7 genes encoding receptors, signal proteins including transcription factors, and cytokines including growth factors, respectively. These results suggest that the signal pathways in acidic diseased areas are different, at least in part, from those examined with cells cultured at a pH of around 7.4.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-03-08</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes4010065</prism:doi>
	<prism:startingPage>65</prism:startingPage>
		<prism:endingPage>85</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Gene Expressions for Signal Transduction under Acidic Conditions]]></dc:title>
    <dc:date>2013-03-08</dc:date>
	<dc:identifier>doi: 10.3390/genes4010065</dc:identifier>
    	<dc:creator>Toshihiko Fukamachi</dc:creator>
		<dc:creator>Syunsuke Ikeda</dc:creator>
		<dc:creator>Xin Wang</dc:creator>
		<dc:creator>Hiromi Saito</dc:creator>
		<dc:creator>Masatoshi Tagawa</dc:creator>
		<dc:creator>Hiroshi Kobayashi</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/1/46">
	<title><![CDATA[Genes, Vol. 4, Pages 46-64: Differential Effects of MicroRNAs on Glioblastoma Growth and Migration]]></title>
	<link>http://www.mdpi.com/2073-4425/4/1/46</link>
	<description>Glioblastoma multiforme is characterized by rapid proliferation, aggressive metastatic potential, and resistance to radio- and chemotherapy. The matricellular protein CYR61 regulates cellular proliferation and migration and is highly expressed in Glioblastomas. MicroRNAs are 22-nucleotides long RNAs that regulate gene expression post-transcriptionally. Here, we utilized the LN229 glioblastoma cell line and found that CYR61 is a target of miR-136, miR-155, and miR-634. Over-expression of miR-136 and miR-634 miRNAs negatively affected proliferation, but not migration, while expression of miR-155 reduced migration but did not affect the proliferation of LN229 cells. Investigation of the molecular mechanisms affected by expression of miR-634 revealed an increased phosphorylation of p70S6 kinase, suggesting an induction of the mammalian target of rapamycin (mTOR) complex 1 pathway. Additionally, in miR-634 overexpressing cells, TSC2, a negative regulator of mTOR signaling, was found to be decreased. Altogether, our study provides insights on the differential roles of miRs-136, -155, and -634 in regulating glioblastoma cell growth and migration, and how microRNAs could be manipulated to decrease the aggressiveness and metastatic potential of tumor cells.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-03-04</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes4010046</prism:doi>
	<prism:startingPage>46</prism:startingPage>
		<prism:endingPage>64</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Differential Effects of MicroRNAs on Glioblastoma Growth and Migration]]></dc:title>
    <dc:date>2013-03-04</dc:date>
	<dc:identifier>doi: 10.3390/genes4010046</dc:identifier>
    	<dc:creator>Duane Jeansonne</dc:creator>
		<dc:creator>Marco Pacifici</dc:creator>
		<dc:creator>Adam Lassak</dc:creator>
		<dc:creator>Krzysztof Reiss</dc:creator>
		<dc:creator>Giuseppe Russo</dc:creator>
		<dc:creator>Jovanny Zabaleta</dc:creator>
		<dc:creator>Francesca Peruzzi</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/1/33">
	<title><![CDATA[Genes, Vol. 4, Pages 33-45: Matricellular Signal Transduction Involving Calmodulin in the Social Amoebozoan Dictyostelium]]></title>
	<link>http://www.mdpi.com/2073-4425/4/1/33</link>
	<description>The social amoebozoan Dictyostelium discoideum undergoes a developmental sequence wherein an extracellular matrix (ECM) sheath surrounds a group of differentiating cells. This sheath is comprised of proteins and carbohydrates, like the ECM of mammalian tissues. One of the characterized ECM proteins is the cysteine-rich, EGF-like (EGFL) repeat-containing, calmodulin (CaM)-binding protein (CaMBP) CyrA. The first EGFL repeat of CyrA increases the rate of random cell motility and cyclic AMP-mediated chemotaxis. Processing of full-length CyrA (~63 kDa) releases two major EGFL  repeat-containing fragments (~45 kDa and ~40 kDa) in an event that is developmentally regulated. Evidence for an EGFL repeat receptor also exists and downstream intracellular signaling pathways involving CaM, Ras, protein kinase A and vinculin B phosphorylation have been characterized. In total, these results identify CyrA as a true matricellular protein comparable in function to tenascin C and other matricellular proteins from mammalian cells. Insight into the regulation and processing of CyrA has also been revealed. CyrA is the first identified extracellular CaMBP in this eukaryotic microbe. In keeping with this, extracellular CaM (extCaM) has been shown to be present in the ECM sheath where it binds to CyrA and inhibits its cleavage to release the 45 kDa and 40 kDa EGFL repeat-containing fragments. The presence of extCaM and its role in regulating a matricellular protein during morphogenesis extends our understanding of CaM-mediated signal transduction in eukaryotes.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-02-15</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes4010033</prism:doi>
	<prism:startingPage>33</prism:startingPage>
		<prism:endingPage>45</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Matricellular Signal Transduction Involving Calmodulin in the Social Amoebozoan Dictyostelium]]></dc:title>
    <dc:date>2013-02-15</dc:date>
	<dc:identifier>doi: 10.3390/genes4010033</dc:identifier>
    	<dc:creator>Danton O&#039;Day</dc:creator>
		<dc:creator>Robert Huber</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/4/1/1">
	<title><![CDATA[Genes, Vol. 4, Pages 1-32: The Replication Fork: Understanding the Eukaryotic Replication Machinery and the Challenges to Genome Duplication]]></title>
	<link>http://www.mdpi.com/2073-4425/4/1/1</link>
	<description>Eukaryotic cells must accurately and efficiently duplicate their genomes during each round of the cell cycle. Multiple linear chromosomes, an abundance of regulatory elements, and chromosome packaging are all challenges that the eukaryotic DNA replication machinery must successfully overcome. The replication machinery, the “replisome” complex, is composed of many specialized proteins with functions in supporting replication by DNA polymerases. Efficient replisome progression relies on tight coordination between the various factors of the replisome. Further, replisome progression must occur on less than ideal templates at various genomic loci. Here, we describe the functions of the major replisome components, as well as some of the obstacles to efficient DNA replication that the replisome confronts. Together, this review summarizes current understanding of the vastly complicated task of replicating eukaryotic DNA.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2013-01-29</prism:publicationDate>
	<prism:volume>4</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes4010001</prism:doi>
	<prism:startingPage>1</prism:startingPage>
		<prism:endingPage>32</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[The Replication Fork: Understanding the Eukaryotic Replication Machinery and the Challenges to Genome Duplication]]></dc:title>
    <dc:date>2013-01-29</dc:date>
	<dc:identifier>doi: 10.3390/genes4010001</dc:identifier>
    	<dc:creator>Adam Leman</dc:creator>
		<dc:creator>Eishi Noguchi</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/4/779">
	<title><![CDATA[Genes, Vol. 3, Pages 779-805: The Sound of Silence: RNAi in Poly (ADP-Ribose) Research]]></title>
	<link>http://www.mdpi.com/2073-4425/3/4/779</link>
	<description>Poly(ADP-ribosyl)-ation is a nonprotein posttranslational modification of proteins and plays an integral part in cell physiology and pathology. The metabolism of poly(ADP-ribose) (PAR) is regulated by its synthesis by poly(ADP-ribose) polymerases (PARPs) and on the catabolic side by poly(ADP-ribose) glycohydrolase (PARG). PARPs convert NAD+ molecules into PAR chains that interact covalently or noncovalently with target proteins and thereby modify their structure and functions. PAR synthesis is activated when PARP1 and PARP2 bind to DNA breaks and these two enzymes account for almost all PAR formation after genotoxic stress. PARG cleaves PAR molecules into free PAR and finally ADP-ribose (ADPR) moieties, both acting as messengers in cellular stress signaling. In this review, we discuss the potential of RNAi to manipulate the levels of PARPs and PARG, and consequently those of PAR and ADPR, and compare the results with those obtained after genetic or chemical disruption.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-12-06</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3040779</prism:doi>
	<prism:startingPage>779</prism:startingPage>
		<prism:endingPage>805</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[The Sound of Silence: RNAi in Poly (ADP-Ribose) Research]]></dc:title>
    <dc:date>2012-12-06</dc:date>
	<dc:identifier>doi: 10.3390/genes3040779</dc:identifier>
    	<dc:creator>Christian Blenn</dc:creator>
		<dc:creator>Philippe Wyrsch</dc:creator>
		<dc:creator>Felix Althaus</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/4/759">
	<title><![CDATA[Genes, Vol. 3, Pages 759-778: Use of RNA Interference by In Utero Electroporation to Study Cortical Development: The Example of the Doublecortin Superfamily]]></title>
	<link>http://www.mdpi.com/2073-4425/3/4/759</link>
	<description>The way we study cortical development has undergone a revolution in the last few years following the ability to use shRNA in the developing brain of the rodent embryo. The first gene to be knocked-down in the developing brain was doublecortin (Dcx). Here we will review knockdown experiments in the developing brain and compare them with knockout experiments, thus highlighting the advantages and disadvantages using the different systems. Our review will focus on experiments relating to the doublecortin superfamily of proteins.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-11-21</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3040759</prism:doi>
	<prism:startingPage>759</prism:startingPage>
		<prism:endingPage>778</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Use of RNA Interference by In Utero Electroporation to Study Cortical Development: The Example of the Doublecortin Superfamily]]></dc:title>
    <dc:date>2012-11-21</dc:date>
	<dc:identifier>doi: 10.3390/genes3040759</dc:identifier>
    	<dc:creator>Orly Reiner</dc:creator>
		<dc:creator>Anna Gorelik</dc:creator>
		<dc:creator>Raanan Greenman</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/4/742">
	<title><![CDATA[Genes, Vol. 3, Pages 742-758: Modeling of the SV40 DNA Replication Machine]]></title>
	<link>http://www.mdpi.com/2073-4425/3/4/742</link>
	<description>The mechanism of SV40 DNA replication is certainly not completely understood. The proteins that are necessary for replication have been known for quite some time, but how they work together to form a nanomachine capable of faithfully replicating the virus DNA is only partially understood. Some of the proteins involved have been crystallized and their 3D structures determined, and several EM reconstructions of SV40 T antigen have been generated. In addition, there is a fair amount of biochemical data that pinpoints the sites of interaction between various proteins. With this information, various models were assembled that show how the SV40 DNA replication nanomachine could be structured in three dimensional space. This process was aided by the use of a 3D docking program as well as fitting of structures. The advantage of the availability of these models is that they are experimentally testable and they provide an insight into how the replication machine could work. Another advantage is that it is possible to quickly compare newly published structures to the models in order to come up with improved models.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-11-09</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Concept Paper</prism:section>
	<prism:doi>10.3390/genes3040742</prism:doi>
	<prism:startingPage>742</prism:startingPage>
		<prism:endingPage>758</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Modeling of the SV40 DNA Replication Machine]]></dc:title>
    <dc:date>2012-11-09</dc:date>
	<dc:identifier>doi: 10.3390/genes3040742</dc:identifier>
    	<dc:creator>Daniel Simmons</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/4/702">
	<title><![CDATA[Genes, Vol. 3, Pages 702-741: RNAi in Arthropods: Insight into the Machinery and Applications for Understanding the Pathogen-Vector Interface]]></title>
	<link>http://www.mdpi.com/2073-4425/3/4/702</link>
	<description>The availability of genome sequencing data in combination with knowledge of expressed genes via transcriptome and proteome data has greatly advanced our understanding of arthropod vectors of disease. Not only have we gained insight into vector biology, but also into their respective vector-pathogen interactions. By combining the strengths of postgenomic databases and reverse genetic approaches such as RNAi, the numbers of available drug and vaccine targets, as well as number of transgenes for subsequent transgenic or paratransgenic approaches, have expanded. These are now paving the way for in-field control strategies of vectors and their pathogens. Basic scientific questions, such as understanding the basic components of the vector RNAi machinery, is vital, as this allows for the transfer of basic RNAi machinery components into RNAi-deficient vectors, thereby expanding the genetic toolbox of these RNAi-deficient vectors and pathogens. In this review, we focus on the current knowledge of arthropod vector RNAi machinery and the impact of RNAi on understanding vector biology and vector-pathogen interactions for which vector genomic data is available on VectorBase.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-11-06</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3040702</prism:doi>
	<prism:startingPage>702</prism:startingPage>
		<prism:endingPage>741</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[RNAi in Arthropods: Insight into the Machinery and Applications for Understanding the Pathogen-Vector Interface]]></dc:title>
    <dc:date>2012-11-06</dc:date>
	<dc:identifier>doi: 10.3390/genes3040702</dc:identifier>
    	<dc:creator>Annette-Christi Barnard</dc:creator>
		<dc:creator>Ard Nijhof</dc:creator>
		<dc:creator>Wilma Fick</dc:creator>
		<dc:creator>Christian Stutzer</dc:creator>
		<dc:creator>Christine Maritz-Olivier</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/4/686">
	<title><![CDATA[Genes, Vol. 3, Pages 686-701: Using Multiple Phenotype Assays and Epistasis Testing to Enhance the Reliability of RNAi Screening and Identify Regulators of Muscle Protein Degradation]]></title>
	<link>http://www.mdpi.com/2073-4425/3/4/686</link>
	<description>RNAi is a convenient, widely used tool for screening for genes of interest. We have recently used this technology to screen roughly 750 candidate genes, in C. elegans, for potential roles in regulating muscle protein degradation in vivo. To maximize confidence and assess reproducibility, we have only used previously validated RNAi constructs and have included time courses and replicates. To maximize mechanistic understanding, we have examined multiple sub-cellular phenotypes in multiple compartments in muscle. We have also tested knockdowns of putative regulators of degradation in the context of mutations or drugs that were previously shown to inhibit protein degradation by diverse mechanisms. Here we discuss how assaying multiple phenotypes, multiplexing RNAi screens with use of mutations and drugs, and use of bioinformatics can provide more data on rates of potential false positives and negatives as well as more mechanistic insight than simple RNAi screening.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-11-02</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3040686</prism:doi>
	<prism:startingPage>686</prism:startingPage>
		<prism:endingPage>701</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Using Multiple Phenotype Assays and Epistasis Testing to Enhance the Reliability of RNAi Screening and Identify Regulators of Muscle Protein Degradation]]></dc:title>
    <dc:date>2012-11-02</dc:date>
	<dc:identifier>doi: 10.3390/genes3040686</dc:identifier>
    	<dc:creator>Susann Lehmann</dc:creator>
		<dc:creator>Freya Shephard</dc:creator>
		<dc:creator>Lewis A. Jacobson</dc:creator>
		<dc:creator>Nathaniel J. Szewczyk</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/4/671">
	<title><![CDATA[Genes, Vol. 3, Pages 671-685: The Influence of Competition Among C. elegans Small RNA Pathways on Development]]></title>
	<link>http://www.mdpi.com/2073-4425/3/4/671</link>
	<description>Small RNAs play a variety of regulatory roles, including highly conserved developmental functions. Caenorhabditis elegans not only possesses most known small RNA pathways, it is also an easy system to study their roles and interactions during development. It has been proposed that in C. elegans, some small RNA pathways compete for access to common limiting resources. The strongest evidence supporting this model is that disrupting the production or stability of endogenous short interfering RNAs (endo-siRNAs) enhances sensitivity to experimentally induced exogenous RNA interference (exo-RNAi). Here, we examine the relationship between the endo-siRNA and microRNA (miRNA) pathways, and find that, consistent with competition among these endogenous small RNA pathways, endo-siRNA pathway mutants may enhance miRNA efficacy. Furthermore, we show that exo-RNAi may also compete with both endo-siRNAs and miRNAs. Our data thus provide support that all known Dicer-dependent small RNA pathways may compete for limiting common resources. Finally, we observed that both endo-siRNA mutants and animals experiencing exo-RNAi have increased expression of miRNA-regulated stage-specific developmental genes. These observations suggest that perturbing the small RNA flux and/or the induction of exo-RNAi, even in wild-type animals, may impact development via effects on the endo-RNAi and microRNA pathways.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-10-19</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3040671</prism:doi>
	<prism:startingPage>671</prism:startingPage>
		<prism:endingPage>685</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[The Influence of Competition Among C. elegans Small RNA Pathways on Development]]></dc:title>
    <dc:date>2012-10-19</dc:date>
	<dc:identifier>doi: 10.3390/genes3040671</dc:identifier>
    	<dc:creator>Jimmy J. Zhuang</dc:creator>
		<dc:creator>Craig P. Hunter</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/4/651">
	<title><![CDATA[Genes, Vol. 3, Pages 651-670: Identifying and Characterizing Regulatory Sequences in the Human Genome with Chromatin Accessibility Assays]]></title>
	<link>http://www.mdpi.com/2073-4425/3/4/651</link>
	<description>After finishing a human genome reference sequence in 2002, the genomics community has turned to the task of interpreting it. A primary focus is to identify and characterize not only protein-coding genes, but all functional elements in the genome. The effort includes both individual investigators and large-scale projects like the Encyclopedia of DNA Elements (ENCODE) project. As part of the ENCODE project, several groups have identified millions of regulatory elements in hundreds of human cell-types using DNase-seq and FAIRE-seq experiments that detect regions of nucleosome-free open chromatin. ChIP-seq experiments have also been used to discover transcription factor binding sites and map histone modifications. Nearly all identified elements are found in non-coding DNA, hypothesizing a function for previously unannotated sequence. In this review, we provide an overview of the ENCODE effort to define regulatory elements, summarize the main results, and discuss implications of the millions of regulatory elements distributed throughout the genome.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-10-15</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3040651</prism:doi>
	<prism:startingPage>651</prism:startingPage>
		<prism:endingPage>670</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Identifying and Characterizing Regulatory Sequences in the Human Genome with Chromatin Accessibility Assays]]></dc:title>
    <dc:date>2012-10-15</dc:date>
	<dc:identifier>doi: 10.3390/genes3040651</dc:identifier>
    	<dc:creator>Nathan Sheffield</dc:creator>
		<dc:creator>Terrence Furey</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/4/634">
	<title><![CDATA[Genes, Vol. 3, Pages 634-650: Factors Behind Junk DNA in Bacteria]]></title>
	<link>http://www.mdpi.com/2073-4425/3/4/634</link>
	<description>Although bacterial genomes have been traditionally viewed as being very compact, with relatively low amounts of repetitive and non-coding DNA, this view has dramatically changed in recent years. The increase of available complete bacterial genomes has revealed that many species present abundant repetitive DNA (i.e., insertion sequences, prophages or paralogous genes) and that many of these sequences are not functional but can have evolutionary consequences as concerns the adaptation to specialized host-related ecological niches. Comparative genomics analyses with close relatives that live in non-specialized environments reveal the nature and fate of this bacterial junk DNA. In addition, the number of insertion sequences and pseudogenes, as well as the size of the intergenic regions, can be used as markers of the evolutionary stage of a genome.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-10-12</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3040634</prism:doi>
	<prism:startingPage>634</prism:startingPage>
		<prism:endingPage>650</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Factors Behind Junk DNA in Bacteria]]></dc:title>
    <dc:date>2012-10-12</dc:date>
	<dc:identifier>doi: 10.3390/genes3040634</dc:identifier>
    	<dc:creator>Rosario Gil</dc:creator>
		<dc:creator>Amparo Latorre</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/4/615">
	<title><![CDATA[Genes, Vol. 3, Pages 615-633: Assessment of Fecundity and Germ Line Transmission in Two Transgenic Pig Lines Produced by Sleeping Beauty Transposition]]></title>
	<link>http://www.mdpi.com/2073-4425/3/4/615</link>
	<description>Recently, we described a simplified injection method for producing transgenic pigs using a non-autonomous Sleeping Beauty transposon system. The founder animals showed ubiquitous expression of the Venus fluorophore in almost all cell types. To assess, whether expression of the reporter fluorophore affects animal welfare or fecundity, we analyzed reproductive parameters of two founder boars, germ line transmission, and organ and cell specific transgene expression in animals of the F1 and F2 generation. Molecular analysis of ejaculated sperm cells suggested three monomeric integrations of the Venus transposon in both founders. To test germ line transmission of the three monomeric transposon integrations, wild-type sows were artificially inseminated. The offspring were nursed to sexual maturity and hemizygous lines were established. A clear segregation of the monomeric transposons following the Mendelian rules was observed in the F1 and F2 offspring. Apparently, almost all somatic cells, as well as oocytes and spermatozoa, expressed the Venus fluorophore at cell-type specific levels. No detrimental effects of Venus expression on animal health or fecundity were found. Importantly, all hemizygous lines expressed the fluorophore in comparable levels, and no case of transgene silencing or variegated expression was found after germ line transmission, suggesting that the insertions occurred at transcriptionally permissive loci. The results show that Sleeping Beauty transposase-catalyzed transposition is a promising approach for stable genetic modification of the pig genome.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-10-12</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3040615</prism:doi>
	<prism:startingPage>615</prism:startingPage>
		<prism:endingPage>633</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Assessment of Fecundity and Germ Line Transmission in Two Transgenic Pig Lines Produced by Sleeping Beauty Transposition]]></dc:title>
    <dc:date>2012-10-12</dc:date>
	<dc:identifier>doi: 10.3390/genes3040615</dc:identifier>
    	<dc:creator>Wiebke Garrels</dc:creator>
		<dc:creator>Stephanie Holler</dc:creator>
		<dc:creator>Nicole Cleve</dc:creator>
		<dc:creator>Heiner Niemann</dc:creator>
		<dc:creator>Zoltan Ivics</dc:creator>
		<dc:creator>Wilfried A. Kues</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/4/603">
	<title><![CDATA[Genes, Vol. 3, Pages 603-614: Hints of tRNA-Derived Small RNAs Role in RNA Silencing Mechanisms]]></title>
	<link>http://www.mdpi.com/2073-4425/3/4/603</link>
	<description>With the advent of new and improved high-throughput sequencing technologies in the last few years, a growing number of novel classes of small RNA, other than miRNAs or siRNA, has emerged, which appear as new actors in gene expression regulation. tRNA-derived small RNAs represent one of these novel members that are, surprisingly, among the most conserved class of small RNAs throughout evolution. They could represent the most primitive small RNA pathways from which the well-known canonical RNA silencing pathways reported in higher eukaryotes evolved. This review aims to make a compilation of the most relevant research literature in this field with the purpose of shedding light on the relation of these primitive tRNA-derived molecules with the gene silencing machinery.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-10-10</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3040603</prism:doi>
	<prism:startingPage>603</prism:startingPage>
		<prism:endingPage>614</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Hints of tRNA-Derived Small RNAs Role in RNA Silencing Mechanisms]]></dc:title>
    <dc:date>2012-10-10</dc:date>
	<dc:identifier>doi: 10.3390/genes3040603</dc:identifier>
    	<dc:creator>Maria Rosa Garcia-Silva</dc:creator>
		<dc:creator>Florencia Cabrera-Cabrera</dc:creator>
		<dc:creator>Maria Catalina Güida</dc:creator>
		<dc:creator>Alfonso Cayota</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/4/576">
	<title><![CDATA[Genes, Vol. 3, Pages 576-602: Genome Sequence of Azospirillum brasilense CBG497 and Comparative Analyses of Azospirillum Core and Accessory Genomes provide Insight into Niche Adaptation]]></title>
	<link>http://www.mdpi.com/2073-4425/3/4/576</link>
	<description>Bacteria of the genus Azospirillum colonize roots of important cereals and grasses, and promote plant growth by several mechanisms, notably phytohormone synthesis. The genomes of several Azospirillum strains belonging to different species, isolated from various host plants and locations, were recently sequenced and published. In this study, an additional genome of an A. brasilense strain, isolated from maize grown on an alkaline soil in the northeast of Mexico, strain CBG497, was obtained. Comparative genomic analyses were performed on this new genome and three other genomes (A. brasilense Sp245, A. lipoferum 4B and Azospirillum sp. B510). The Azospirillum core genome was established and consists of 2,328 proteins, representing between 30% to 38% of the total encoded proteins within a genome. It is mainly chromosomally-encoded and contains 74% of genes of ancestral origin shared with some aquatic relatives. The non-ancestral part of the core genome is enriched in genes involved in signal transduction, in transport and in metabolism of carbohydrates and amino-acids, and in surface properties features linked to adaptation in fluctuating environments, such as soil and rhizosphere. Many genes involved in colonization of plant roots, plant-growth promotion (such as those involved in phytohormone biosynthesis), and properties involved in rhizosphere adaptation (such as catabolism of phenolic compounds, uptake of iron) are restricted to a particular strain and/or species, strongly suggesting niche-specific adaptation. </description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-09-28</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3040576</prism:doi>
	<prism:startingPage>576</prism:startingPage>
		<prism:endingPage>602</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Genome Sequence of Azospirillum brasilense CBG497 and Comparative Analyses of Azospirillum Core and Accessory Genomes provide Insight into Niche Adaptation]]></dc:title>
    <dc:date>2012-09-28</dc:date>
	<dc:identifier>doi: 10.3390/genes3040576</dc:identifier>
    	<dc:creator>Florence Wisniewski-Dyé</dc:creator>
		<dc:creator>Luis Lozano</dc:creator>
		<dc:creator>Erika Acosta-Cruz</dc:creator>
		<dc:creator>Stéphanie Borland</dc:creator>
		<dc:creator>Benoît Drogue</dc:creator>
		<dc:creator>Claire Prigent-Combaret</dc:creator>
		<dc:creator>Zoé Rouy</dc:creator>
		<dc:creator>Valérie Barbe</dc:creator>
		<dc:creator>Alberto Mendoza Herrera</dc:creator>
		<dc:creator>Victor González</dc:creator>
		<dc:creator>Patrick Mavingui</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/3/545">
	<title><![CDATA[Genes, Vol. 3, Pages 545-575: Next Generation Sequence Analysis and Computational Genomics Using Graphical Pipeline Workflows]]></title>
	<link>http://www.mdpi.com/2073-4425/3/3/545</link>
	<description>Whole-genome and exome sequencing have already proven to be essential and powerful methods to identify genes responsible for simple Mendelian inherited disorders. These methods can be applied to complex disorders as well, and have been adopted as one of the current mainstream approaches in population genetics. These achievements have been made possible by next generation sequencing (NGS) technologies, which require substantial bioinformatics resources to analyze the dense and complex sequence data. The huge analytical burden of data from genome sequencing might be seen as a bottleneck slowing the publication of NGS papers at this time, especially in psychiatric genetics. We review the existing methods for processing NGS data, to place into context the rationale for the design of a computational resource. We describe our method, the Graphical Pipeline for Computational Genomics (GPCG), to perform the computational steps required to analyze NGS data. The GPCG implements flexible workflows for basic sequence alignment, sequence data quality control, single nucleotide polymorphism analysis, copy number variant identification, annotation, and visualization of results. These workflows cover all the analytical steps required for NGS data, from processing the raw reads to variant calling and annotation. The current version of the pipeline is freely available at http://pipeline.loni.ucla.edu. These applications of NGS analysis may gain clinical utility in the near future (e.g., identifying miRNA signatures in diseases) when the bioinformatics approach is made feasible. Taken together, the annotation tools and strategies that have been developed to retrieve information and test hypotheses about the functional role of variants present in the human genome will help to pinpoint the genetic risk factors for psychiatric disorders.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-08-30</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3030545</prism:doi>
	<prism:startingPage>545</prism:startingPage>
		<prism:endingPage>575</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Next Generation Sequence Analysis and Computational Genomics Using Graphical Pipeline Workflows]]></dc:title>
    <dc:date>2012-08-30</dc:date>
	<dc:identifier>doi: 10.3390/genes3030545</dc:identifier>
    	<dc:creator>Federica Torri</dc:creator>
		<dc:creator>Ivo D. Dinov</dc:creator>
		<dc:creator>Alen Zamanyan</dc:creator>
		<dc:creator>Sam Hobel</dc:creator>
		<dc:creator>Alex Genco</dc:creator>
		<dc:creator>Petros Petrosyan</dc:creator>
		<dc:creator>Andrew P. Clark</dc:creator>
		<dc:creator>Zhizhong Liu</dc:creator>
		<dc:creator>Paul Eggert</dc:creator>
		<dc:creator>Jonathan Pierce</dc:creator>
		<dc:creator>James A. Knowles</dc:creator>
		<dc:creator>Joseph Ames</dc:creator>
		<dc:creator>Carl Kesselman</dc:creator>
		<dc:creator>Arthur W. Toga</dc:creator>
		<dc:creator>Steven G. Potkin</dc:creator>
		<dc:creator>Marquis P. Vawter</dc:creator>
		<dc:creator>Fabio Macciardi</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/3/521">
	<title><![CDATA[Genes, Vol. 3, Pages 521-544: Radiobiology and Reproduction—What Can We Learn from Mammalian Females?]]></title>
	<link>http://www.mdpi.com/2073-4425/3/3/521</link>
	<description>Ionizing radiation damages DNA and induces mutations as well as chromosomal reorganizations. Although radiotherapy increases survival among cancer patients, this treatment does not come without secondary effects, among which the most problematic is gonadal dysfunction, especially in women. Even more, if radio-induced DNA damage occurs in germ cells during spermatogenesis and/or oogenesis, they can produce chromosomal reorganizations associated with meiosis malfunction, abortions, as well as hereditary effects. However, most of our current knowledge of ionizing radiation genotoxic effects is derived from in vitro studies performed in somatic cells and there are only some experimental data that shed light on how germ cells work when affected by DNA alterations produced by ionizing radiation. In addition, these few data are often related to mammalian males, making it difficult to extrapolate the results to females. Here, we review the current knowledge of radiobiology and reproduction, paying attention to mammalian females. In order to do that, we will navigate across the female meiotic/reproductive cycle/life taking into account the radiation-induced genotoxic effects analysis and animal models used, published in recent decades.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-08-27</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3030521</prism:doi>
	<prism:startingPage>521</prism:startingPage>
		<prism:endingPage>544</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Radiobiology and Reproduction—What Can We Learn from Mammalian Females?]]></dc:title>
    <dc:date>2012-08-27</dc:date>
	<dc:identifier>doi: 10.3390/genes3030521</dc:identifier>
    	<dc:creator>Aurora Ruiz-Herrera</dc:creator>
		<dc:creator>Francisca Garcia</dc:creator>
		<dc:creator>Montserrat Garcia-Caldés</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/3/505">
	<title><![CDATA[Genes, Vol. 3, Pages 505-520: Regulation of Fibroblast Growth Factor-2 Expression and Cell Cycle Progression by an Endogenous Antisense RNA]]></title>
	<link>http://www.mdpi.com/2073-4425/3/3/505</link>
	<description>Basic fibroblast growth factor (FGF2) is a potent wide-spectrum mitogen whose overexpression is associated with immortalization and unregulated cell proliferation in many tumors. The FGF2 gene locus is bi-directionally transcribed to produce FGF2 mRNA from the “sense” strand and a cis-antisense RNA (NUDT6) from the NUDT6 gene on the “antisense” strand. The NUDT6 gene encodes a nudix motif protein of unknown function, while its mRNA has been implicated in the post-transcriptional regulation of FGF2 expression. FGF2 and NUDT6 are co-expressed in rat C6 glioma cells, and ectopic overexpression of NUDT6 suppresses cellular FGF2 accumulation and cell cycle progression. However, the role of the endogenous antisense RNA in regulation of FGF2 is unclear. In the present study, we employed siRNA-mediated gene knockdown to examine the role of the endogenous NUDT6 RNA in regulation of FGF2 expression and cell cycle progression. Knockdown of either FGF2 or NUDT6 mRNA was accompanied by a significant (&amp;gt;3 fold) increase in the complementary partner RNA. Similar reciprocal effects were observed at the protein level, indicating that these two transcripts are mutually regulatory. Remarkably, knockdown of either FGF2 or NUDT6 significantly reduced cell proliferation and inhibited S-phase re-entry following serum deprivation, implicating both FGF2 and NUDT6 in the regulation of cell transformation and cell cycle progression.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-08-16</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3030505</prism:doi>
	<prism:startingPage>505</prism:startingPage>
		<prism:endingPage>520</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Regulation of Fibroblast Growth Factor-2 Expression and Cell Cycle Progression by an Endogenous Antisense RNA]]></dc:title>
    <dc:date>2012-08-16</dc:date>
	<dc:identifier>doi: 10.3390/genes3030505</dc:identifier>
    	<dc:creator>Mark Baguma-Nibasheka</dc:creator>
		<dc:creator>Leigh Ann MacFarlane</dc:creator>
		<dc:creator>Paul R. Murphy</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/3/492">
	<title><![CDATA[Genes, Vol. 3, Pages 492-504: A Model of Evolution of Development Based on Germline Penetration of New “No-Junk” DNA]]></title>
	<link>http://www.mdpi.com/2073-4425/3/3/492</link>
	<description>There is a mounting body of evidence that somatic transposition may be involved in normal development of multicellular organisms and in pathology, especially cancer. Epigenetic Tracking (ET) is an abstract model of multicellular development, able to generate complex 3-dimensional structures. Its aim is not to model the development of a particular organism nor to merely summarise mainstream knowledge on genetic regulation of development. Rather, the goal of ET is to provide a theoretical framework to test new postulated genetic mechanisms, not fully established yet in mainstream biology. The first proposal is that development is orchestrated through a subset of cells which we call driver cells. In these cells, the cellular state determines a specific pattern of gene activation which leads to the occurrence of developmental events. The second proposal is that evolution of development is affected by somatic transposition events. We postulate that when the genome of a driver cell does not specify what developmental event should be undertaken when the cell is in a particular cellular state, somatic transposition events can reshape the genome, build new regulatory regions, and lead to a new pattern of gene activation in the cell. Our third hypothesis, not supported yet by direct evidence, but consistent with some experimental observations, is that these new “no-junk” sequences—regulatory regions created by transposable elements at new positions in the genome—can exit the cell and enter the germline, to be incorporated in the genome of the progeny. We call this mechanism germline penetration. This process allows heritable incorporation of novel developmental events in the developmental trajectory. In this paper we will present the model and link these three postulated mechanisms to biological observations.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-08-02</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3030492</prism:doi>
	<prism:startingPage>492</prism:startingPage>
		<prism:endingPage>504</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[A Model of Evolution of Development Based on Germline Penetration of New “No-Junk” DNA]]></dc:title>
    <dc:date>2012-08-02</dc:date>
	<dc:identifier>doi: 10.3390/genes3030492</dc:identifier>
    	<dc:creator>Alessandro Fontana</dc:creator>
		<dc:creator>Borys Wróbel</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/3/481">
	<title><![CDATA[Genes, Vol. 3, Pages 481-491: Transgenic Models of Spinocerebellar Ataxia Type 10: Modeling a Repeat Expansion Disorder]]></title>
	<link>http://www.mdpi.com/2073-4425/3/3/481</link>
	<description>Spinocerebellar ataxia type 10 (SCA10) is an autosomal dominant neurodegenerative disease with a spectrum of phenotypes. SCA10 is caused by a pentanucleotide repeat expansion of the ATTCT motif within intron 9 of ATAXIN 10 (ATXN10). Patients present with cerebellar ataxia; however, a subset also develops epileptic seizures which significantly contribute to the morbidity and mortality of the disease. Past research from our lab has demonstrated that epileptic SCA10 patients predominantly originate from or have ancestral ties to Mexico. In addition, a large proportion of epileptic SCA10 patients carry repeat interruptions within their SCA10 expansion. This paper outlines the variability in SCA10 phenotypes and our attempts to model these phenotypes using transgenic mouse models and highlights the benefits of using a transgenic model organism to understand the pathological mechanisms of a human disease.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-07-30</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3030481</prism:doi>
	<prism:startingPage>481</prism:startingPage>
		<prism:endingPage>491</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Transgenic Models of Spinocerebellar Ataxia Type 10: Modeling a Repeat Expansion Disorder]]></dc:title>
    <dc:date>2012-07-30</dc:date>
	<dc:identifier>doi: 10.3390/genes3030481</dc:identifier>
    	<dc:creator>Karen N. McFarland</dc:creator>
		<dc:creator>Tetsuo Ashizawa</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/3/461">
	<title><![CDATA[Genes, Vol. 3, Pages 461-480: Beyond Junk-Variable Tandem Repeats as Facilitators of Rapid Evolution of Regulatory and Coding Sequences]]></title>
	<link>http://www.mdpi.com/2073-4425/3/3/461</link>
	<description>Copy Number Variations (CNVs) and Single Nucleotide Polymorphisms (SNPs) have been the major focus of most large-scale comparative genomics studies to date. Here, we discuss a third, largely ignored, type of genetic variation, namely changes in tandem repeat number. Historically, tandem repeats have been designated as non functional “junk” DNA, mostly as a result of their highly unstable nature. With the exception of tandem repeats involved in human neurodegenerative diseases, repeat variation was often believed to be neutral with no phenotypic consequences. Recent studies, however, have shown that as many as 10% to 20% of coding and regulatory sequences in eukaryotes contain an unstable repeat tract. Contrary to initial suggestions, tandem repeat variation can have useful phenotypic consequences. Examples include rapid variation in microbial cell surface, tuning of internal molecular clocks in flies and the dynamic morphological plasticity in mammals. As such, tandem repeats can be useful functional elements that facilitate evolvability and rapid adaptation.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-07-26</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3030461</prism:doi>
	<prism:startingPage>461</prism:startingPage>
		<prism:endingPage>480</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Beyond Junk-Variable Tandem Repeats as Facilitators of Rapid Evolution of Regulatory and Coding Sequences]]></dc:title>
    <dc:date>2012-07-26</dc:date>
	<dc:identifier>doi: 10.3390/genes3030461</dc:identifier>
    	<dc:creator>Rita Gemayel</dc:creator>
		<dc:creator>Janice Cho</dc:creator>
		<dc:creator>Steven Boeynaems</dc:creator>
		<dc:creator>Kevin J. Verstrepen</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/3/444">
	<title><![CDATA[Genes, Vol. 3, Pages 444-460: Microsatellites with Macro-Influence in Ewing Sarcoma]]></title>
	<link>http://www.mdpi.com/2073-4425/3/3/444</link>
	<description>Numerous molecular abnormalities contribute to the genetic derangements involved in tumorigenesis. Chromosomal translocations are a frequent source of these derangements, producing unique fusion proteins with novel oncogenic properties. EWS/ETS fusions in Ewing sarcoma are a prime example of this, resulting in potent chimeric oncoproteins with novel biological properties and a unique transcriptional signature essential for oncogenesis. Recent evidence demonstrates that EWS/FLI, the most common EWS/ETS fusion in Ewing sarcoma, upregulates gene expression using a GGAA microsatellite response element dispersed throughout the human genome. These GGAA microsatellites function as enhancer elements, are sites of epigenetic regulation and are necessary for EWS/FLI DNA binding and upregulation of principal oncogenic targets. An increasing number of GGAA motifs appear to substantially enhance EWS/FLI-mediated gene expression, which has compelling biological implications as these GGAA microsatellites are highly polymorphic within and between ethnically distinct populations. Historically regarded as junk DNA, this emerging evidence clearly demonstrates that microsatellite DNA plays an instrumental role in EWS/FLI-mediated transcriptional regulation and oncogenesis in Ewing sarcoma. This unprecedented role of GGAA microsatellite DNA in Ewing sarcoma provides a unique opportunity to expand our mechanistic understanding of how EWS/ETS fusions influence cancer susceptibility, prognosis and transcriptional regulation.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-07-23</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3030444</prism:doi>
	<prism:startingPage>444</prism:startingPage>
		<prism:endingPage>460</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Microsatellites with Macro-Influence in Ewing Sarcoma]]></dc:title>
    <dc:date>2012-07-23</dc:date>
	<dc:identifier>doi: 10.3390/genes3030444</dc:identifier>
    	<dc:creator>Michael J. Monument</dc:creator>
		<dc:creator>Kirsten M. Johnson</dc:creator>
		<dc:creator>Allie H. Grossmann</dc:creator>
		<dc:creator>Joshua D. Schiffman</dc:creator>
		<dc:creator>R. Lor Randall</dc:creator>
		<dc:creator>Stephen L. Lessnick</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/3/423">
	<title><![CDATA[Genes, Vol. 3, Pages 423-443: REGEN: Ancestral Genome Reconstruction for Bacteria]]></title>
	<link>http://www.mdpi.com/2073-4425/3/3/423</link>
	<description>Ancestral genome reconstruction can be understood as a phylogenetic study with more details than a traditional phylogenetic tree reconstruction. We present a new computational system called REGEN for ancestral bacterial genome reconstruction at both the gene and replicon levels. REGEN reconstructs gene content, contiguous gene runs, and replicon structure for each ancestral genome. Along each branch of the phylogenetic tree, REGEN infers evolutionary events, including gene creation and deletion and replicon fission and fusion. The reconstruction can be performed by either a maximum parsimony or a maximum likelihood method. Gene content reconstruction is based on the concept of neighboring gene pairs. REGEN was designed to be used with any set of genomes that are sufficiently related, which will usually be the case for bacteria within the same taxonomic order. We evaluated REGEN using simulated genomes and genomes in the Rhizobiales order.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-07-18</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3030423</prism:doi>
	<prism:startingPage>423</prism:startingPage>
		<prism:endingPage>443</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[REGEN: Ancestral Genome Reconstruction for Bacteria]]></dc:title>
    <dc:date>2012-07-18</dc:date>
	<dc:identifier>doi: 10.3390/genes3030423</dc:identifier>
    	<dc:creator>Kuan Yang</dc:creator>
		<dc:creator>Lenwood S. Heath</dc:creator>
		<dc:creator>João C. Setubal</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/3/409">
	<title><![CDATA[Genes, Vol. 3, Pages 409-422: Transposable Elements: From DNA Parasites to Architects of Metazoan Evolution]]></title>
	<link>http://www.mdpi.com/2073-4425/3/3/409</link>
	<description>One of the most unexpected insights that followed from the completion of the human genome a decade ago was that more than half of our DNA is derived from transposable elements (TEs). Due to advances in high throughput sequencing technologies it is now clear that TEs comprise the largest molecular class within most metazoan genomes. TEs, once categorised as &amp;quot;junk DNA&amp;quot;, are now known to influence genomic structure and function by increasing the coding and non-coding genetic repertoire of the host. In this way TEs are key elements that stimulate the evolution of metazoan genomes. This review highlights several lines of TE research including the horizontal transfer of TEs through host-parasite interactions, the vertical maintenance of TEs over long periods of evolutionary time, and the direct role that TEs have played in generating morphological novelty.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-07-12</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3030409</prism:doi>
	<prism:startingPage>409</prism:startingPage>
		<prism:endingPage>422</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Transposable Elements: From DNA Parasites to Architects of Metazoan Evolution]]></dc:title>
    <dc:date>2012-07-12</dc:date>
	<dc:identifier>doi: 10.3390/genes3030409</dc:identifier>
    	<dc:creator>Oliver Piskurek</dc:creator>
		<dc:creator>Daniel J. Jackson</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/3/391">
	<title><![CDATA[Genes, Vol. 3, Pages 391-408: siRNAs Trigger Efficient Silencing of a Parasitism Gene in Plant Parasitic Root-Knot Nematodes]]></title>
	<link>http://www.mdpi.com/2073-4425/3/3/391</link>
	<description>Expanding genomic data on plant pathogens open new perspectives for the development of specific and environment friendly pest management strategies based on the inhibition of parasitism genes that are essential for the success of infection. Identifying such genes relies on accurate reverse genetics tools and the screening of pathogen knock-down phenotypes. Root-knot nematodes are major cosmopolitan crop pests that feed on a wide range of host plants. Small interfering RNAs (siRNAs) would provide a powerful tool for reverse genetics of nematode parasitism genes provided that they could (1) target genes expressed in inner tissues of infective nematodes and (2) target genes expressed during parasitism. In this study, we show that siRNAs can access inner tissues of the infective juveniles during soaking and accumulate in the esophagus, amphidial pouches and related neurons of the nematode. We provide evidence that siRNAs can trigger knock-down of the parasitism gene Mi-CRT, a calreticulin gene expressed in the esophageal glands of Meloidogyne incognita. Mi-CRT knock-down in infective juveniles affected nematode virulence. However, Mi-CRT knock-down was not persistent after plant infection, indicating that siRNA-mediated RNAi is best suited for functional analysis of genes involved in pre-parasitic stages or in the early steps of infection.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-07-10</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3030391</prism:doi>
	<prism:startingPage>391</prism:startingPage>
		<prism:endingPage>408</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[siRNAs Trigger Efficient Silencing of a Parasitism Gene in Plant Parasitic Root-Knot Nematodes]]></dc:title>
    <dc:date>2012-07-10</dc:date>
	<dc:identifier>doi: 10.3390/genes3030391</dc:identifier>
    	<dc:creator>Marie-Jeanne Arguel</dc:creator>
		<dc:creator>Maëlle Jaouannet</dc:creator>
		<dc:creator>Marc Magliano</dc:creator>
		<dc:creator>Pierre Abad</dc:creator>
		<dc:creator>Marie-Noëlle Rosso</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/3/378">
	<title><![CDATA[Genes, Vol. 3, Pages 378-390: Clustering Rfam 10.1: Clans, Families, and Classes]]></title>
	<link>http://www.mdpi.com/2073-4425/3/3/378</link>
	<description>The Rfam database contains information about non-coding RNAs emphasizing their secondary structures and organizing them into families of homologous RNA genes or functional RNA elements. Recently, a higher order organization of Rfam in terms of the so-called clans was proposed along with its “decimal release”. In this proposition, some of the families have been assigned to clans based on experimental and computational data in order to find related families. In the present work we investigate an alternative classification for the RNA families based on tree edit distance. The resulting clustering recovers some of the Rfam clans. The majority of clans, however, are not recovered by the structural clustering. Instead, they get dispersed into larger clusters, which correspond roughly to well-described RNA classes such as snoRNAs, miRNAs, and CRISPRs. In conclusion, a structure-based clustering can contribute to the elucidation of the relationships among the Rfam families beyond the realm of clans and classes.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-07-05</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3030378</prism:doi>
	<prism:startingPage>378</prism:startingPage>
		<prism:endingPage>390</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Clustering Rfam 10.1: Clans, Families, and Classes]]></dc:title>
    <dc:date>2012-07-05</dc:date>
	<dc:identifier>doi: 10.3390/genes3030378</dc:identifier>
    	<dc:creator>Felipe A. Lessa</dc:creator>
		<dc:creator>Tainá Raiol</dc:creator>
		<dc:creator>Marcelo M. Brigido</dc:creator>
		<dc:creator>Daniele S. B. Martins Neto</dc:creator>
		<dc:creator>Maria Emília M. T. Walter</dc:creator>
		<dc:creator>Peter F. Stadler</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/3/361">
	<title><![CDATA[Genes, Vol. 3, Pages 361-377: Genome-Wide Sequencing Reveals Two Major Sub-Lineages in the Genetically Monomorphic Pathogen Xanthomonas Campestris Pathovar Musacearum]]></title>
	<link>http://www.mdpi.com/2073-4425/3/3/361</link>
	<description>The bacterium Xanthomonas campestris pathovar musacearum (Xcm) is the causal agent of banana Xanthomonas wilt (BXW). This disease has devastated economies based on banana and plantain crops (Musa species) in East Africa. Here we use genome-wide sequencing to discover a set of single-nucleotide polymorphisms (SNPs) among East African isolates of Xcm. These SNPs have potential as molecular markers for phylogeographic studies of the epidemiology and spread of the pathogen. Our analysis reveals two major sub-lineages of the pathogen, suggesting that the current outbreaks of BXW on Musa species in the region may have more than one introductory event, perhaps from Ethiopia. Also, based on comparisons of genome-wide sequence data from multiple isolates of Xcm and multiple strains of X. vasicola pathovar vasculorum, we identify genes specific to Xcm that could be used to specifically detect Xcm by PCR-based methods.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-07-04</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Communication</prism:section>
	<prism:doi>10.3390/genes3030361</prism:doi>
	<prism:startingPage>361</prism:startingPage>
		<prism:endingPage>377</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Genome-Wide Sequencing Reveals Two Major Sub-Lineages in the Genetically Monomorphic Pathogen Xanthomonas Campestris Pathovar Musacearum]]></dc:title>
    <dc:date>2012-07-04</dc:date>
	<dc:identifier>doi: 10.3390/genes3030361</dc:identifier>
    	<dc:creator>Arthur Wasukira</dc:creator>
		<dc:creator>Johnbosco Tayebwa</dc:creator>
		<dc:creator>Richard Thwaites</dc:creator>
		<dc:creator>Konrad Paszkiewicz</dc:creator>
		<dc:creator>Valente Aritua</dc:creator>
		<dc:creator>Jerome Kubiriba</dc:creator>
		<dc:creator>Julian Smith</dc:creator>
		<dc:creator>Murray Grant</dc:creator>
		<dc:creator>David J. Studholme</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/3/344">
	<title><![CDATA[Genes, Vol. 3, Pages 344-360: The Human Transcriptome: An Unfinished Story]]></title>
	<link>http://www.mdpi.com/2073-4425/3/3/344</link>
	<description>Despite recent technological advances, the study of the human transcriptome is still in its early stages. Here we provide an overview of the complex human transcriptomic landscape, present the bioinformatics challenges posed by the vast quantities of transcriptomic data, and discuss some of the studies that have tried to determine how much of the human genome is transcribed. Recent evidence has suggested that more than 90% of the human genome is transcribed into RNA. However, this view has been strongly contested by groups of scientists who argued that many of the observed transcripts are simply the result of transcriptional noise. In this review, we conclude that the full extent of transcription remains an open question that will not be fully addressed until we decipher the complete range and biological diversity of the transcribed genomic sequences.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-06-29</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3030344</prism:doi>
	<prism:startingPage>344</prism:startingPage>
		<prism:endingPage>360</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[The Human Transcriptome: An Unfinished Story]]></dc:title>
    <dc:date>2012-06-29</dc:date>
	<dc:identifier>doi: 10.3390/genes3030344</dc:identifier>
    	<dc:creator>Mihaela Pertea</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/2/320">
	<title><![CDATA[Genes, Vol. 3, Pages 320-343: The Role of Bromodomain Proteins in Regulating Gene Expression]]></title>
	<link>http://www.mdpi.com/2073-4425/3/2/320</link>
	<description>Histone modifications are important in regulating gene expression in eukaryotes. Of the numerous histone modifications which have been identified, acetylation is one of the best characterised and is generally associated with active genes. Histone acetylation can directly affect chromatin structure by neutralising charges on the histone tail, and can also function as a binding site for proteins which can directly or indirectly regulate transcription. Bromodomains specifically bind to acetylated lysine residues on histone tails, and bromodomain proteins play an important role in anchoring the complexes of which they are a part to acetylated chromatin. Bromodomain proteins are involved in a diverse range of functions, such as acetylating histones, remodeling chromatin, and recruiting other factors necessary for transcription. These proteins thus play a critical role in the regulation of transcription.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-05-29</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3020320</prism:doi>
	<prism:startingPage>320</prism:startingPage>
		<prism:endingPage>343</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[The Role of Bromodomain Proteins in Regulating Gene Expression]]></dc:title>
    <dc:date>2012-05-29</dc:date>
	<dc:identifier>doi: 10.3390/genes3020320</dc:identifier>
    	<dc:creator>Gabrielle A. Josling</dc:creator>
		<dc:creator>Shamista A. Selvarajah</dc:creator>
		<dc:creator>Michaela Petter</dc:creator>
		<dc:creator>Michael F. Duffy</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/2/291">
	<title><![CDATA[Genes, Vol. 3, Pages 291-319: The Chlamydiales Pangenome Revisited: Structural Stability and Functional Coherence]]></title>
	<link>http://www.mdpi.com/2073-4425/3/2/291</link>
	<description>The entire publicly available set of 37 genome sequences from the bacterial order Chlamydiales has been subjected to comparative analysis in order to reveal the salient features of this pangenome and its evolutionary history. Over 2,000 protein families are detected across multiple species, with a distribution consistent to other studied pangenomes. Of these, there are 180 protein families with multiple members, 312 families with exactly 37 members corresponding to core genes, 428 families with peripheral genes with varying taxonomic distribution and finally 1,125 smaller families. The fact that, even for smaller genomes of Chlamydiales, core genes represent over a quarter of the average protein complement, signifies a certain degree of structural stability, given the wide range of phylogenetic relationships within the group. In addition, the propagation of a corpus of manually curated annotations within the discovered core families reveals key functional properties, reflecting a coherent repertoire of cellular capabilities for Chlamydiales. We further investigate over 2,000 genes without homologs in the pangenome and discover two new protein sequence domains. Our results, supported by the genome-based phylogeny for this group, are fully consistent with previous analyses and current knowledge, and point to future research directions towards a better understanding of the structural and functional properties of Chlamydiales.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-05-16</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3020291</prism:doi>
	<prism:startingPage>291</prism:startingPage>
		<prism:endingPage>319</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[The Chlamydiales Pangenome Revisited: Structural Stability and Functional Coherence]]></dc:title>
    <dc:date>2012-05-16</dc:date>
	<dc:identifier>doi: 10.3390/genes3020291</dc:identifier>
    	<dc:creator>Fotis E. Psomopoulos</dc:creator>
		<dc:creator>Victoria I. Siarkou</dc:creator>
		<dc:creator>Nikolas Papanikolaou</dc:creator>
		<dc:creator>Ioannis Iliopoulos</dc:creator>
		<dc:creator>Athanasios S. Tsaftaris</dc:creator>
		<dc:creator>Vasilis J. Promponas</dc:creator>
		<dc:creator>Christos A. Ouzounis</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/2/278">
	<title><![CDATA[Genes, Vol. 3, Pages 278-290: The Chernobyl Tissue Bank — A Repository for Biomaterial and Data Used in Integrative and Systems Biology Modeling the Human Response to Radiation]]></title>
	<link>http://www.mdpi.com/2073-4425/3/2/278</link>
	<description>The only unequivocal radiological effect of the Chernobyl accident on human health is the increase in thyroid cancer in those exposed in childhood or early adolescence. In response to the scientific interest in studying the molecular biology of thyroid cancer post Chernobyl, the Chernobyl Tissue Bank (CTB: www.chernobyltissuebank.com) was established in 1998. Thus far it is has collected biological samples from 3,861 individuals, and provided 27 research projects with 11,254 samples. The CTB was designed from its outset as a resource to promote the integration of research and clinical data to facilitate a systems biology approach to radiation related thyroid cancer. The project has therefore developed as a multidisciplinary collaboration between clinicians, dosimetrists, molecular biologists and bioinformaticians and serves as a paradigm for tissue banking in the omics era.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-05-09</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Communication</prism:section>
	<prism:doi>10.3390/genes3020278</prism:doi>
	<prism:startingPage>278</prism:startingPage>
		<prism:endingPage>290</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[The Chernobyl Tissue Bank — A Repository for Biomaterial and Data Used in Integrative and Systems Biology Modeling the Human Response to Radiation]]></dc:title>
    <dc:date>2012-05-09</dc:date>
	<dc:identifier>doi: 10.3390/genes3020278</dc:identifier>
    	<dc:creator>Geraldine Thomas</dc:creator>
		<dc:creator>Kristian Unger</dc:creator>
		<dc:creator>Marko Krznaric</dc:creator>
		<dc:creator>Angela Galpine</dc:creator>
		<dc:creator>Jackie Bethel</dc:creator>
		<dc:creator>Christopher Tomlinson</dc:creator>
		<dc:creator>Mark Woodbridge</dc:creator>
		<dc:creator>Sarah Butcher</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/2/261">
	<title><![CDATA[Genes, Vol. 3, Pages 261-277: A Gene-By-Gene Approach to Bacterial Population Genomics: Whole Genome MLST of Campylobacter]]></title>
	<link>http://www.mdpi.com/2073-4425/3/2/261</link>
	<description>Campylobacteriosis remains a major human public health problem world-wide. Genetic analyses of Campylobacter isolates, and particularly molecular epidemiology, have been central to the study of this disease, particularly the characterization of Campylobacter genotypes isolated from human infection, farm animals, and retail food. These studies have demonstrated that Campylobacter populations are highly structured, with distinct genotypes associated with particular wild or domestic animal sources, and that chicken meat is the most likely source of most human infection in countries such as the UK. The availability of multiple whole genome sequences from Campylobacter isolates presents the prospect of identifying those genes or allelic variants responsible for host-association and increased human disease risk, but the diversity of Campylobacter genomes present challenges for such analyses. We present a gene-by-gene approach for investigating the genetic basis of phenotypes in diverse bacteria such as Campylobacter, implemented with the BIGSdb software on the pubMLST.org/campylobacter website.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-04-12</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Communication</prism:section>
	<prism:doi>10.3390/genes3020261</prism:doi>
	<prism:startingPage>261</prism:startingPage>
		<prism:endingPage>277</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[A Gene-By-Gene Approach to Bacterial Population Genomics: Whole Genome MLST of Campylobacter]]></dc:title>
    <dc:date>2012-04-12</dc:date>
	<dc:identifier>doi: 10.3390/genes3020261</dc:identifier>
    	<dc:creator>Samuel K. Sheppard</dc:creator>
		<dc:creator>Keith A. Jolley</dc:creator>
		<dc:creator>Martin C. J. Maiden</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/2/248">
	<title><![CDATA[Genes, Vol. 3, Pages 248-260: Heritability of Radiation Response in Lung Cancer Families]]></title>
	<link>http://www.mdpi.com/2073-4425/3/2/248</link>
	<description>Radiation sensitivity is assumed to be a cancer susceptibility factor due to impaired DNA damage signalling and repair. Relevant genetic factors may also determine the observed familial aggregation of early onset lung cancer. We investigated the heritability of radiation sensitivity in families of 177 Caucasian cases of early onset lung cancer. In total 798 individuals were characterized for their radiation-induced DNA damage response. DNA damage analysis was performed by alkaline comet assay before and after in vitro irradiation of isolated lymphocytes. The cells were exposed to a dose of 4 Gy and allowed to repair induced DNA-damage up to 60 minutes. The primary outcome parameter Olive Tail Moment was the basis for heritability estimates. Heritability was highest for basal damage (without irradiation) 70% (95%-CI: 51%–88%) and initial damage (directly after irradiation) 65% (95%-CI: 47%–83%) and decreased to 20%–48% for the residual damage after different repair times. Hence our study supports the hypothesis that genomic instability represented by the basal DNA damage as well as radiation induced and repaired damage is highly heritable. Genes influencing genome instability and DNA repair are therefore of major interest for the etiology of lung cancer in the young. The comet assay represents a proper tool to investigate heritability of the radiation sensitive phenotype. Our results are in good agreement with other mutagen sensitivity assays.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-03-29</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3020248</prism:doi>
	<prism:startingPage>248</prism:startingPage>
		<prism:endingPage>260</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Heritability of Radiation Response in Lung Cancer Families]]></dc:title>
    <dc:date>2012-03-29</dc:date>
	<dc:identifier>doi: 10.3390/genes3020248</dc:identifier>
    	<dc:creator>Albert Rosenberger</dc:creator>
		<dc:creator>Ute Rössler</dc:creator>
		<dc:creator>Sabine Hornhardt</dc:creator>
		<dc:creator>Wiebke Sauter</dc:creator>
		<dc:creator>Heike Bickeböller</dc:creator>
		<dc:creator>H.-Erich Wichmann</dc:creator>
		<dc:creator>Maria Gomolka</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/2/233">
	<title><![CDATA[Genes, Vol. 3, Pages 233-247: Case Study of Sequence Capture Enrichment Technology: Identification of Variation Underpinning Developmental Syndromes in an Amniote Model]]></title>
	<link>http://www.mdpi.com/2073-4425/3/2/233</link>
	<description>Chicken developmental mutants are valuable for discovering sequences and pathways controlling amniote development. Herein we applied the advanced technologies of targeted sequence genomic capture enrichment and next-generation sequencing to discover the causative element for three inherited mutations affecting craniofacial, limb and/or organ development. Since the mutations (coloboma, diplopodia-1 and wingless-2) were bred into a congenic line series and previously mapped to different chromosomes, each targeted mutant causative region could be compared to that of the other two congenic partners, thereby providing internal controls on a single array. Of the ~73 million 50-bp sequence reads, ~76% were specific to the enriched targeted regions with an average target coverage of 132-fold. Analysis of the three targeted regions (2.06 Mb combined) identified line-specific single nucleotide polymorphism (SNPs) and micro (1–3 nt) indels. Sequence content for regions indicated as gaps in the reference genome was generated, thus contributing to its refinement. Additionally, Mauve alignments were constructed and indicated putative chromosomal rearrangements. This is the first report of targeted capture array technology in an avian species, the chicken, an important vertebrate model; the work highlights the utility of employing advanced technologies in an organism with only a “draft stage” reference genome sequence.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-03-26</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3020233</prism:doi>
	<prism:startingPage>233</prism:startingPage>
		<prism:endingPage>247</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Case Study of Sequence Capture Enrichment Technology: Identification of Variation Underpinning Developmental Syndromes in an Amniote Model]]></dc:title>
    <dc:date>2012-03-26</dc:date>
	<dc:identifier>doi: 10.3390/genes3020233</dc:identifier>
    	<dc:creator>Elizabeth A. Robb</dc:creator>
		<dc:creator>Mary E. Delany</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/2/191">
	<title><![CDATA[Genes, Vol. 3, Pages 191-232: From Environment to Man: Genome Evolution and Adaptation of Human Opportunistic Bacterial Pathogens]]></title>
	<link>http://www.mdpi.com/2073-4425/3/2/191</link>
	<description>Environment is recognized as a huge reservoir for bacterial species and a source of human pathogens. Some environmental bacteria have an extraordinary range of activities that include promotion of plant growth or disease, breakdown of pollutants, production of original biomolecules, but also multidrug resistance and human pathogenicity. The versatility of bacterial life-style involves adaptation to various niches. Adaptation to both open environment and human specific niches is a major challenge that involves intermediate organisms allowing pre-adaptation to humans. The aim of this review is to analyze genomic features of environmental bacteria in order to explain their adaptation to human beings. The genera Pseudomonas, Aeromonas and Ochrobactrum provide valuable examples of opportunistic behavior associated to particular genomic structure and evolution. Particularly, we performed original genomic comparisons among aeromonads and between the strictly intracellular pathogens Brucella spp. and the mild opportunistic pathogens Ochrobactrum spp. We conclude that the adaptation to human could coincide with a speciation in action revealed by modifications in both genomic and population structures. This adaptation-driven speciation could be a major mechanism for the emergence of true pathogens besides the acquisition of specialized virulence factors.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-03-26</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3020191</prism:doi>
	<prism:startingPage>191</prism:startingPage>
		<prism:endingPage>232</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[From Environment to Man: Genome Evolution and Adaptation of Human Opportunistic Bacterial Pathogens]]></dc:title>
    <dc:date>2012-03-26</dc:date>
	<dc:identifier>doi: 10.3390/genes3020191</dc:identifier>
    	<dc:creator>Fabien Aujoulat</dc:creator>
		<dc:creator>Frédéric Roger</dc:creator>
		<dc:creator>Alice Bourdier</dc:creator>
		<dc:creator>Anne Lotthé</dc:creator>
		<dc:creator>Brigitte Lamy</dc:creator>
		<dc:creator>Hélène Marchandin</dc:creator>
		<dc:creator>Estelle Jumas-Bilak</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/1/176">
	<title><![CDATA[Genes, Vol. 3, Pages 176-190: Molecular Functions of Long Non-Coding RNAs in Plants]]></title>
	<link>http://www.mdpi.com/2073-4425/3/1/176</link>
	<description>The past decade has seen dramatic changes in our understanding of the scale and complexity of eukaryotic transcriptome owing to the discovery of diverse types of short and long non-protein-coding RNAs (ncRNAs). While short ncRNA-mediated gene regulation has been extensively studied and the mechanisms well understood, the function of long ncRNAs remains largely unexplored, especially in plants. Nevertheless, functional insights generated in recent studies with mammalian systems have indicated that long ncRNAs are key regulators of a variety of biological processes. They have been shown to act as transcriptional regulators and competing endogenous RNAs (ceRNAs), to serve as molecular cargos for protein re-localization and as modular scaffolds to recruit the assembly of multiple protein complexes for chromatin modifications. Some of these functions have been found to be conserved in plants. Here, we review our current understanding of long ncRNA functions in plants and discuss the challenges in functional characterization of plant long ncRNAs.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-03-08</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3010176</prism:doi>
	<prism:startingPage>176</prism:startingPage>
		<prism:endingPage>190</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Molecular Functions of Long Non-Coding RNAs in Plants]]></dc:title>
    <dc:date>2012-03-08</dc:date>
	<dc:identifier>doi: 10.3390/genes3010176</dc:identifier>
    	<dc:creator>Qian-Hao Zhu</dc:creator>
		<dc:creator>Ming-Bo Wang</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/1/167">
	<title><![CDATA[Genes, Vol. 3, Pages 167-175: A Model of Repetitive-DNA-Organized Chromatin Network of Interphase Chromosomes]]></title>
	<link>http://www.mdpi.com/2073-4425/3/1/167</link>
	<description>During interphase, chromosomes are relatively de-condensed in the nuclear space. Interphase chromosomes are known to occupy nuclear space in a non-random manner (chromosome territory); however, their internal structures are poorly defined. In particular, little is understood about the molecular mechanisms that govern the internal organization of interphase chromosomes. The author recently proposed that pairing (or interaction) of repetitive DNA-containing chromatin regions is a critical driving force that specifies the higher-order organization of eukaryotic chromosomes. Guided by this theoretical framework and published experimental data on the structure of interphase chromosomes and the spatial distribution of repetitive DNA in interphase nuclei, I postulate here a molecular structure of chromatin organization in interphase chromosomes. According to this model, an interphase chromosome is a chromatin mesh (or lattice) that is formed by repeat pairing (RP). The mesh consists of two types of structural components: chromosome nodes and loose chromatin fibers. Chromosome nodes are DNA repeat assemblies (RAs) that are formed via RP, while loose fibers include chromatin loops that radiate from the nodes. Different loops crosslink by RPs and form a large integrated chromatin network. I suggest that the organization of the chromatin network of a given interphase chromosome is intrinsically specified by the distribution of repetitive DNA elements on the linear chromatin. The stability of the organization is governed by the collection of RA-formed nodes, and the dynamics of the organization is driven by the assembling and disassembling of the nodes.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-03-07</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Opinion</prism:section>
	<prism:doi>10.3390/genes3010167</prism:doi>
	<prism:startingPage>167</prism:startingPage>
		<prism:endingPage>175</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[A Model of Repetitive-DNA-Organized Chromatin Network of Interphase Chromosomes]]></dc:title>
    <dc:date>2012-03-07</dc:date>
	<dc:identifier>doi: 10.3390/genes3010167</dc:identifier>
    	<dc:creator>Shao-Jun Tang</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/1/138">
	<title><![CDATA[Genes, Vol. 3, Pages 138-166: The Genetics of Symbiotic Nitrogen Fixation: Comparative Genomics of 14 Rhizobia Strains by Resolution of Protein Clusters]]></title>
	<link>http://www.mdpi.com/2073-4425/3/1/138</link>
	<description>The symbiotic relationship between legumes and nitrogen fixing bacteria is critical for agriculture, as it may have profound impacts on lowering costs for farmers, on land sustainability, on soil quality, and on mitigation of greenhouse gas emissions. However, despite the importance of the symbioses to the global nitrogen cycling balance, very few rhizobial genomes have been sequenced so far, although there are some ongoing efforts in sequencing elite strains. In this study, the genomes of fourteen selected strains of the order Rhizobiales, all previously fully sequenced and annotated, were compared to assess differences between the strains and to investigate the feasibility of defining a core ‘symbiome’—the essential genes required by all rhizobia for nodulation and nitrogen fixation. Comparison of these whole genomes has revealed valuable information, such as several events of lateral gene transfer, particularly in the symbiotic plasmids and genomic islands that have contributed to a better understanding of the evolution of contrasting symbioses. Unique genes were also identified, as well as omissions of symbiotic genes that were expected to be found. Protein comparisons have also allowed the identification of a variety of similarities and differences in several groups of genes, including those involved in nodulation, nitrogen fixation, production of exopolysaccharides, Type I to Type VI secretion systems, among others, and identifying some key genes that could be related to host specificity and/or a better saprophytic ability. However, while several significant differences in the type and number of proteins were observed, the evidence presented suggests no simple core symbiome exists. A more abstract systems biology concept of nitrogen fixing symbiosis may be required. The results have also highlighted that comparative genomics represents a valuable tool for capturing specificities and generalities of each genome.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-02-16</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3010138</prism:doi>
	<prism:startingPage>138</prism:startingPage>
		<prism:endingPage>166</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[The Genetics of Symbiotic Nitrogen Fixation: Comparative Genomics of 14 Rhizobia Strains by Resolution of Protein Clusters]]></dc:title>
    <dc:date>2012-02-16</dc:date>
	<dc:identifier>doi: 10.3390/genes3010138</dc:identifier>
    	<dc:creator>Michael Black</dc:creator>
		<dc:creator>Paula Moolhuijzen</dc:creator>
		<dc:creator>Brett Chapman</dc:creator>
		<dc:creator>Roberto Barrero</dc:creator>
		<dc:creator>John Howieson</dc:creator>
		<dc:creator>Mariangela Hungria</dc:creator>
		<dc:creator>Matthew Bellgard</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/1/115">
	<title><![CDATA[Genes, Vol. 3, Pages 115-137: Genomic Distribution and Divergence of Levansucrase-Coding Genes in Pseudomonas syringae]]></title>
	<link>http://www.mdpi.com/2073-4425/3/1/115</link>
	<description>In the plant pathogenic bacterium, Pseudomonas syringae, the exopolysaccharide levan is synthesized by extracellular levansucrase (Lsc), which is encoded by two conserved 1,296-bp genes termed lscB and lscC in P. syringae strain PG4180. A third gene, lscA, is homologous to the 1,248-bp lsc gene of the bacterium Erwinia amylovora, causing fire blight. However, lscA is not expressed in P. syringae strain PG4180. Herein, PG4180 lscA was shown to be expressed from its native promoter in the Lsc-deficient E. amylovora mutant, Ea7/74-LS6, suggesting that lscA might be closely related to the E. amylovora lsc gene. Nucleotide sequence analysis revealed that lscB and lscC homologs in several P. syringae strains are part of a highly conserved 1.8-kb region containing the ORF, flanked by 450-452-bp and 49-51-bp up- and downstream sequences, respectively. Interestingly, the 450-452-bp upstream sequence, along with the initial 48-bp ORF sequence encoding for the N-terminal 16 amino acid residues of Lsc, were found to be highly similar to the respective sequence of a putatively prophage-borne glycosyl hydrolase-encoding gene in several P. syringae genomes. Minimal promoter regions of lscB and lscC were mapped in PG4180 by deletion analysis and were found to be located in similar positions upstream of lsc genes in three P. syringae genomes. Thus, a putative 498-500-bp promoter element was identified, which possesses the prophage-associated com gene and DNA encoding common N-terminal sequences of all 1,296-bp Lsc and two glycosyl hydrolases. Since the gene product of the non-expressed 1,248-bp lscA is lacking this conserved N-terminal region but is otherwise highly homologous to those of lscB and lscC, it was concluded that lscA might have been the ancestral lsc gene in E. amylovora and P. syringae. Our data indicated that its highly expressed paralogs in P. syringae are probably derived from subsequent recombination events initiated by insertion of the 498-500-bp promoter element, described herein, containing a translational start site.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-02-10</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3010115</prism:doi>
	<prism:startingPage>115</prism:startingPage>
		<prism:endingPage>137</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Genomic Distribution and Divergence of Levansucrase-Coding Genes in Pseudomonas syringae]]></dc:title>
    <dc:date>2012-02-10</dc:date>
	<dc:identifier>doi: 10.3390/genes3010115</dc:identifier>
    	<dc:creator>Abhishek Srivastava</dc:creator>
		<dc:creator>Nehaya Al-Karablieh</dc:creator>
		<dc:creator>Shaunak Khandekar</dc:creator>
		<dc:creator>Arifa Sharmin</dc:creator>
		<dc:creator>Helge Weingart</dc:creator>
		<dc:creator>Matthias S. Ullrich</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/1/90">
	<title><![CDATA[Genes, Vol. 3, Pages 90-114: Biological Complexities in Radiation Carcinogenesis and Cancer Radiotherapy: Impact of New Biological Paradigms]]></title>
	<link>http://www.mdpi.com/2073-4425/3/1/90</link>
	<description>Although radiation carcinogenesis has been shown both experimentally and epidemiologically, the use of ionizing radiation is also one of the major modalities in cancer treatment. Various known cellular and molecular events are involved in carcinogenesis. Apart from the known phenomena, there could be implications for carcinogenesis and cancer prevention due to other biological processes such as the bystander effect, the abscopal effect, intrinsic radiosensitivity and radioadaptation. Bystander effects have consequences for mutation initiated cancer paradigms of radiation carcinogenesis, which provide the mechanistic justification for low-dose risk estimates. The abscopal effect is potentially important for tumor control and is mediated through cytokines and/or the immune system (mainly cell-mediated immunity). It results from loss of growth and stimulatory and/or immunosuppressive factors from the tumor. Intrinsic radiosensitivity is a feature of some cancer prone chromosomal breakage syndromes such as ataxia telangectiasia. Radiosensitivity is manifested as higher chromosomal aberrations and DNA repair impairment is now known as a good biomarker for breast cancer screening and prediction of prognosis. However, it is not yet known whether this effect is good or bad for those receiving radiation or radiomimetic agents for treatment. Radiation hormesis is another major concern for carcinogenesis. This process which protects cells from higher doses of radiation or radio mimic chemicals, may lead to the escape of cells from mitotic death or apoptosis and put cells with a lower amount of damage into the process of cancer induction. Therefore, any of these biological phenomena could have impact on another process giving rise to genome instability of cells which are not in the field of radiation but still receiving a lower amount of radiation. For prevention of radiation induced carcinogenesis or risk assessment as well as for successful radiation therapy, all these phenomena should be taken into account.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-01-20</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3010090</prism:doi>
	<prism:startingPage>90</prism:startingPage>
		<prism:endingPage>114</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Biological Complexities in Radiation Carcinogenesis and Cancer Radiotherapy: Impact of New Biological Paradigms]]></dc:title>
    <dc:date>2012-01-20</dc:date>
	<dc:identifier>doi: 10.3390/genes3010090</dc:identifier>
    	<dc:creator>Hossein Mozdarani</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/1/88">
	<title><![CDATA[Genes, Vol. 3, Pages 88-89: Correction: Studholme et al., Draft Genome Sequences of Xanthomonas sacchari and Two Banana-Associated Xanthomonads Reveal Insights into the Xanthomonas Group 1 clade. Genes 2011, 2, 1050–1065.]]></title>
	<link>http://www.mdpi.com/2073-4425/3/1/88</link>
	<description>Following publication of our article [1], we found errors in analyses performed by the corresponding author (DJS) related to the phylogenetic relationship between Xylella species and the other xanthomonads. These errors do not make any difference to the main findings and conclusions reported in our paper. For example, the phylogenetic positions of NCPPB1131, NCPPB1132 and NCPPB4393 within the Group 1 Xanthomonas species are unaffected. However, we wish to apologize to the authors of a previous work [2] for creating any negative impression on the quality of their phylogenetic analyses and to take this opportunity to rectify the errors. [...]</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-01-11</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Correction</prism:section>
	<prism:doi>10.3390/genes3010088</prism:doi>
	<prism:startingPage>88</prism:startingPage>
		<prism:endingPage>89</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Correction: Studholme et al., Draft Genome Sequences of Xanthomonas sacchari and Two Banana-Associated Xanthomonads Reveal Insights into the Xanthomonas Group 1 clade. Genes 2011, 2, 1050–1065.]]></dc:title>
    <dc:date>2012-01-11</dc:date>
	<dc:identifier>doi: 10.3390/genes3010088</dc:identifier>
    	<dc:creator>David J Studholme</dc:creator>
		<dc:creator>Arthur Wasukira</dc:creator>
		<dc:creator>Konrad Paszkiewicz</dc:creator>
		<dc:creator>Valente Aritua</dc:creator>
		<dc:creator>Richard Thwaites</dc:creator>
		<dc:creator>Julian Smith</dc:creator>
		<dc:creator>Murray Grant</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/1/81">
	<title><![CDATA[Genes, Vol. 3, Pages 81-87: Looking for the Last Universal Common Ancestor (LUCA)]]></title>
	<link>http://www.mdpi.com/2073-4425/3/1/81</link>
	<description>Genomic sequences across diverse species seem to align towards a common ancestry, eventually implying that eons ago some universal antecedent organism would have lived on the face of Earth. However, when evolution is understood not only as a biological process but as a general thermodynamic process, it becomes apparent that the quest for the last universal common ancestor is unattainable. Ambiguities in alignments are unavoidable because the driving forces and paths of evolution cannot be separated from each other. Thus tracking down life’s origin is by its nature a non-computable task. The thermodynamic tenet clarifies that evolution is a path-dependent process of least-time consumption of free energy. The natural process is without a demarcation line between animate and inanimate.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2012-01-09</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3010081</prism:doi>
	<prism:startingPage>81</prism:startingPage>
		<prism:endingPage>87</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Looking for the Last Universal Common Ancestor (LUCA)]]></dc:title>
    <dc:date>2012-01-09</dc:date>
	<dc:identifier>doi: 10.3390/genes3010081</dc:identifier>
    	<dc:creator>Minna Koskela</dc:creator>
		<dc:creator>Arto Annila</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/1/62">
	<title><![CDATA[Genes, Vol. 3, Pages 62-80: Implication of an Aldehyde Dehydrogenase Gene and a Phosphinothricin N-Acetyltransferase Gene in the Diversity of Pseudomonas cichorii Virulence]]></title>
	<link>http://www.mdpi.com/2073-4425/3/1/62</link>
	<description>Pseudomonas cichorii harbors the hrp genes. hrp-mutants lose their virulence on eggplant but not on lettuce. A phosphinothricin N-acetyltransferase gene (pat) is located between hrpL and an aldehyde dehydrogenase gene (aldH) in the genome of P. cichorii. Comparison of nucleotide sequences and composition of the genes among pseudomonads suggests a common ancestor of hrp and pat between P. cichorii strains and P. viridiflava strains harboring the single hrp pathogenicity island. In contrast, phylogenetic diversification of aldH corresponded to species diversification amongst pseudomonads. In this study, the involvement of aldH and pat in P. cichorii virulence was analyzed. An aldH-deleted mutant (ΔaldH) and a pat-deleted mutant (Δpat) lost their virulence on eggplant but not on lettuce. P. cichorii expressed both genes in eggplant leaves, independent of HrpL, the transcriptional activator for the hrp. Inoculation into Asteraceae species susceptible to P. cichorii showed that the involvement of hrp, pat and aldH in P. cichorii virulence is independent of each other and has no relationship with the phylogeny of Asteraceae species based on the nucleotide sequences of ndhF and rbcL. It is thus thought that not only the hrp genes but also pat and aldH are implicated in the diversity of P. cichorii virulence on susceptible host plant species.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-12-27</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3010062</prism:doi>
	<prism:startingPage>62</prism:startingPage>
		<prism:endingPage>80</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Implication of an Aldehyde Dehydrogenase Gene and a Phosphinothricin N-Acetyltransferase Gene in the Diversity of Pseudomonas cichorii Virulence]]></dc:title>
    <dc:date>2011-12-27</dc:date>
	<dc:identifier>doi: 10.3390/genes3010062</dc:identifier>
    	<dc:creator>Masayuki Tanaka</dc:creator>
		<dc:creator>Ullah Md Wali</dc:creator>
		<dc:creator>Hitoshi Nakayashiki</dc:creator>
		<dc:creator>Tatsuya Fukuda</dc:creator>
		<dc:creator>Hiroyuki Mizumoto</dc:creator>
		<dc:creator>Kouhei Ohnishi</dc:creator>
		<dc:creator>Akinori Kiba</dc:creator>
		<dc:creator>Yasufumi Hikichi</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/1/35">
	<title><![CDATA[Genes, Vol. 3, Pages 35-61: Comparative Genomics of Aeschynomene Symbionts: Insights into the Ecological Lifestyle of Nod-Independent Photosynthetic Bradyrhizobia]]></title>
	<link>http://www.mdpi.com/2073-4425/3/1/35</link>
	<description>Tropical aquatic species of the legume genus Aeschynomene are stem- and root-nodulated by bradyrhizobia strains that exhibit atypical features such as photosynthetic capacities or the use of a nod gene-dependent (ND) or a nod gene-independent (NI) pathway to enter into symbiosis with legumes. In this study we used a comparative genomics approach on nine Aeschynomene symbionts representative of their phylogenetic diversity. We produced draft genomes of bradyrhizobial strains representing different phenotypes: five NI photosynthetic strains (STM3809, ORS375, STM3847, STM4509 and STM4523) in addition to the previously sequenced ORS278 and BTAi1 genomes, one photosynthetic strain ORS285 hosting both ND and NI symbiotic systems, and one NI non-photosynthetic strain (STM3843). Comparative genomics allowed us to infer the core, pan and dispensable genomes of Aeschynomene bradyrhizobia, and to detect specific genes and their location in Genomic Islands (GI). Specific gene sets linked to photosynthetic and NI/ND abilities were identified, and are currently being studied in functional analyses.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-12-21</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3010035</prism:doi>
	<prism:startingPage>35</prism:startingPage>
		<prism:endingPage>61</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Comparative Genomics of Aeschynomene Symbionts: Insights into the Ecological Lifestyle of Nod-Independent Photosynthetic Bradyrhizobia]]></dc:title>
    <dc:date>2011-12-21</dc:date>
	<dc:identifier>doi: 10.3390/genes3010035</dc:identifier>
    	<dc:creator>Damien Mornico</dc:creator>
		<dc:creator>Lucie Miché</dc:creator>
		<dc:creator>Gilles Béna</dc:creator>
		<dc:creator>Nico Nouwen</dc:creator>
		<dc:creator>André Verméglio</dc:creator>
		<dc:creator>David Vallenet</dc:creator>
		<dc:creator>Alexander A.T. Smith</dc:creator>
		<dc:creator>Eric Giraud</dc:creator>
		<dc:creator>Claudine Médigue</dc:creator>
		<dc:creator>Lionel Moulin</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/1/19">
	<title><![CDATA[Genes, Vol. 3, Pages 19-34: Discriminating Gene Expression Signature of Radiation-Induced Thyroid Tumors after Either External Exposure or Internal Contamination]]></title>
	<link>http://www.mdpi.com/2073-4425/3/1/19</link>
	<description>Both external radiation exposure and internal radionuclide contamination are well known risk factors in the development of thyroid epithelial tumors. The identification of specific molecular markers deregulated in radiation-induced thyroid tumors is important for the etiological diagnosis since neither histological features nor genetic alterations can discriminate between sporadic and radiation-induced tumors. Identification of highly discriminating markers in radiation-induced tumors is challenging as it relies on the ability to identify marker deregulation which is associated with a cellular stress that occurred many years before in the thyroid cells. The existence of such a signature is still controversial, as it was not found in several studies while a highly discriminating signature was found in both post-radiotherapy and post-Chernobyl series in other studies. Overall, published studies searching for radiation-induced thyroid tumor specificities, using transcriptomic, proteomic and comparative genomic hybridization approaches, and bearing in mind the analytical constraints required to analyze such small series of tumors, suggest that such a molecular signature could be found. In comparison with sporadic tumors, we highlight molecular similarities and specificities in tumors occurring after high-dose external radiation exposure, such as radiotherapy, and in post-Chernobyl tumors that occurred after internal 131I contamination. We discuss the relevance of signature extrapolation from series of tumors developing after high and low doses in the identification of tumors induced at very low doses of radiation.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-12-21</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes3010019</prism:doi>
	<prism:startingPage>19</prism:startingPage>
		<prism:endingPage>34</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Discriminating Gene Expression Signature of Radiation-Induced Thyroid Tumors after Either External Exposure or Internal Contamination]]></dc:title>
    <dc:date>2011-12-21</dc:date>
	<dc:identifier>doi: 10.3390/genes3010019</dc:identifier>
    	<dc:creator>Catherine Ory</dc:creator>
		<dc:creator>Nicolas Ugolin</dc:creator>
		<dc:creator>Martin Schlumberger</dc:creator>
		<dc:creator>Paul Hofman</dc:creator>
		<dc:creator>Sylvie Chevillard</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/3/1/1">
	<title><![CDATA[Genes, Vol. 3, Pages 1-18: Comparison of the Fecal Microbiota in Feral and Domestic Goats]]></title>
	<link>http://www.mdpi.com/2073-4425/3/1/1</link>
	<description>Animals have co-evolved with mutualistic microbial communities, known as the microbiota, which are essential for organ development and function. We hypothesize that modern animal husbandry practices exert an impact on the intestinal microbiota. In this study, we compared the structure of the fecal microbiota between feral and domestic goats using the G2 PhyloChip and assessed the presence of five tetracycline resistance genes [tet(M), tet(S), tet(O), tet(Q) and tet(W)] by PCR. Feces were collected from 10 goats: 5 domestic from a farm in the main island of Puerto Rico and 5 feral from the remote dry island of Mona. There were 42 bacterial phyla from 153 families detected in the goats’ feces. A total of 84 PhyloChip-OTUs were different in the fecal microbiota of feral and domestic goat. Both feral and domestic goats carried antibiotic resistance genes tet(O) and tet(W), but domestic goats additionally carried tet(Q). Diet, host genetics and antibiotic exposure are likely determinant factors in shaping the intestinal microbiota and may explain the differences observed between feral and domestic goats fecal microbiota.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-12-21</prism:publicationDate>
	<prism:volume>3</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes3010001</prism:doi>
	<prism:startingPage>1</prism:startingPage>
		<prism:endingPage>18</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Comparison of the Fecal Microbiota in Feral and Domestic Goats]]></dc:title>
    <dc:date>2011-12-21</dc:date>
	<dc:identifier>doi: 10.3390/genes3010001</dc:identifier>
    	<dc:creator>Kassandra M. De Jesús-Laboy</dc:creator>
		<dc:creator>Filipa Godoy-Vitorino</dc:creator>
		<dc:creator>Yvette M. Piceno</dc:creator>
		<dc:creator>Lauren M. Tom</dc:creator>
		<dc:creator>Ida G. Pantoja-Feliciano</dc:creator>
		<dc:creator>Michelle J. Rivera-Rivera</dc:creator>
		<dc:creator>Gary L. Andersen</dc:creator>
		<dc:creator>María G. Domínguez-Bello</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/1050">
	<title><![CDATA[Genes, Vol. 2, Pages 1050-1065: Draft Genome Sequences of Xanthomonas sacchari and Two Banana-Associated Xanthomonads Reveal Insights into the Xanthomonas Group 1 Clade]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/1050</link>
	<description>We present draft genome sequences for three strains of Xanthomonas species, each of which was associated with banana plants (Musa species) but is not closely related to the previously sequenced banana-pathogen Xanthomonas campestris pathovar musacearum. Strain NCPPB4393 had been deposited as Xanthomonas campestris pathovar musacearum but in fact falls within the species Xanthomonas sacchari. Strain NCPPB1132 is more distantly related to Xanthomonas sacchari whilst strain NCPPB 1131 grouped in a distinct species-level clade related to X. sacchari, along with strains from ginger, rice, cotton and sugarcane. These three newly sequenced strains share many genomic features with the previously sequenced Xanthomonas albilineans, for example possessing an unsual metE allele and lacking the Hrp type III secretion system. However, they are distinct from Xanthomonas albilineans in many respects, for example showing little evidence of genome reduction. They also lack the SPI-1 type III secretion system found in Xanthomonas albilineans. Unlike X. albilineans, all three strains possess a gum gene cluster. The data reported here provide the first genome-wide survey of non-Hrp Xanthomonas species other than Xanthomonas albilineans, which is an atypical member of this group. We hope that the availability of complete sequence data for this group of organisms is the first step towards understanding their interactions with plants and identifying potential virulence factors.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-12-02</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Communication</prism:section>
	<prism:doi>10.3390/genes2041050</prism:doi>
	<prism:startingPage>1050</prism:startingPage>
		<prism:endingPage>1065</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Draft Genome Sequences of Xanthomonas sacchari and Two Banana-Associated Xanthomonads Reveal Insights into the Xanthomonas Group 1 Clade]]></dc:title>
    <dc:date>2011-12-02</dc:date>
	<dc:identifier>doi: 10.3390/genes2041050</dc:identifier>
    	<dc:creator>David J. Studholme</dc:creator>
		<dc:creator>Arthur Wasukira</dc:creator>
		<dc:creator>Konrad Paszkiewicz</dc:creator>
		<dc:creator>Valente Aritua</dc:creator>
		<dc:creator>Richard Thwaites</dc:creator>
		<dc:creator>Julian Smith</dc:creator>
		<dc:creator>Murray Grant</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/1033">
	<title><![CDATA[Genes, Vol. 2, Pages 1033-1049: Modeling the Risk of Secondary Malignancies after Radiotherapy]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/1033</link>
	<description>In developed countries, more than half of all cancer patients receive radiotherapy at some stage in the management of their disease. However, a radiation-induced secondary malignancy can be the price of success if the primary cancer is cured or at least controlled. Therefore, there is increasing concern regarding radiation-related second cancer risks in long-term radiotherapy survivors and a corresponding need to be able to predict cancer risks at high radiation doses. Of particular interest are second cancer risk estimates for new radiation treatment modalities such as intensity modulated radiotherapy, intensity modulated arc-therapy, proton and heavy ion radiotherapy. The long term risks from such modern radiotherapy treatment techniques have not yet been determined and are unlikely to become apparent for many years, due to the long latency time for solid tumor induction. Most information on the dose-response of radiation-induced cancer is derived from data on the A-bomb survivors who were exposed to γ-rays and neutrons. Since, for radiation protection purposes, the dose span of main interest is between zero and one Gy, the analysis of the A-bomb survivors is usually focused on this range. With increasing cure rates, estimates of cancer risk for doses larger than one Gy are becoming more important for radiotherapy patients. Therefore in this review, emphasis was placed on doses relevant for radiotherapy with respect to radiation induced solid cancer. Simple radiation protection models should be used only with extreme care for risk estimates in radiotherapy, since they are developed exclusively for low dose. When applied to scatter radiation, such models can predict only a fraction of observed second malignancies. Better semi-empirical models include the effect of dose fractionation and represent the dose-response relationships more accurately. The involved uncertainties are still huge for most of the organs and tissues. A major reason for this is that the underlying processes of the induction of carcinoma and sarcoma are not well known. Most uncertainties are related to the time patterns of cancer induction, the population specific dependencies and to the organ specific cancer induction rates. For radiotherapy treatment plan optimization these factors are irrelevant, as a treatment plan comparison is performed for a patient of specific age, sex, etc. If a treatment plan is compared relative to another one only the shape of the dose-response curve (the so called risk-equivalent dose) is of importance and errors can be minimized.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-11-29</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2041033</prism:doi>
	<prism:startingPage>1033</prism:startingPage>
		<prism:endingPage>1049</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Modeling the Risk of Secondary Malignancies after Radiotherapy]]></dc:title>
    <dc:date>2011-11-29</dc:date>
	<dc:identifier>doi: 10.3390/genes2041033</dc:identifier>
    	<dc:creator>Uwe Schneider</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/1017">
	<title><![CDATA[Genes, Vol. 2, Pages 1017-1032: Plant-Bacteria Association and Symbiosis: Are There Common Genomic Traits in Alphaproteobacteria?]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/1017</link>
	<description>Alphaproteobacteria show a great versatility in adapting to a broad range of environments and lifestyles, with the association between bacteria and plants as one of the most intriguing, spanning from relatively unspecific nonsymbiotic association (as rhizospheric or endophytic strains) to the highly species-specific interaction of rhizobia. To shed some light on possible common genetic features in such a heterogeneous set of plant associations, the genomes of 92 Alphaproteobacteria strains were analyzed with a fuzzy orthologs-species detection approach. This showed that the different habitats and lifestyles of plant-associated bacteria (soil, plant colonizers, symbiont) are partially reflected by the trend to have larger genomes with respect to nonplant-associated species. A relatively large set of genes specific to symbiotic bacteria (73 orthologous groups) was found, with a remarkable presence of regulators, sugar transporters, metabolic enzymes, nodulation genes and several genes with unknown function that could be good candidates for further characterization. Interestingly, 15 orthologous groupspresent in all plant-associated bacteria (symbiotic and nonsymbiotic), but absent in nonplant-associated bacteria, were also found, whose functions were mainly related to regulation of gene expression and electron transport. Two of these orthologous groups were also detected in fully sequenced plant-associated Betaproteobacteria and Gammaproteobacteria. Overall these results lead us to hypothesize that plant-bacteria associations, though quite variable, are partially supported by a conserved set of unsuspected gene functions.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-11-29</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2041017</prism:doi>
	<prism:startingPage>1017</prism:startingPage>
		<prism:endingPage>1032</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Plant-Bacteria Association and Symbiosis: Are There Common Genomic Traits in Alphaproteobacteria?]]></dc:title>
    <dc:date>2011-11-29</dc:date>
	<dc:identifier>doi: 10.3390/genes2041017</dc:identifier>
    	<dc:creator>Francesco Pini</dc:creator>
		<dc:creator>Marco Galardini</dc:creator>
		<dc:creator>Marco Bazzicalupo</dc:creator>
		<dc:creator>Alessio Mengoni</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/998">
	<title><![CDATA[Genes, Vol. 2, Pages 998-1016: Antifragility and Tinkering in Biology (and in Business) Flexibility Provides an Efficient Epigenetic Way to Manage Risk]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/998</link>
	<description>The notion of antifragility, an attribute of systems that makes them thrive under variable conditions, has recently been proposed by Nassim Taleb in a business context. This idea requires the ability of such systems to ‘tinker’, i.e., to creatively respond to changes in their environment. A fairly obvious example of this is natural selection-driven evolution. In this ubiquitous process, an original entity, challenged by an ever-changing environment, creates variants that evolve into novel entities. Analyzing functions that are essential during stationary-state life yield examples of entities that may be antifragile. One such example is proteins with flexible regions that can undergo functional alteration of their side residues or backbone and thus implement the tinkering that leads to antifragility. This in-built property of the cell chassis must be taken into account when considering construction of cell factories driven by engineering principles.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-11-29</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2040998</prism:doi>
	<prism:startingPage>998</prism:startingPage>
		<prism:endingPage>1016</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Antifragility and Tinkering in Biology (and in Business) Flexibility Provides an Efficient Epigenetic Way to Manage Risk]]></dc:title>
    <dc:date>2011-11-29</dc:date>
	<dc:identifier>doi: 10.3390/genes2040998</dc:identifier>
    	<dc:creator>Antoine Danchin</dc:creator>
		<dc:creator>Philippe M. Binder</dc:creator>
		<dc:creator>Stanislas Noria</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/980">
	<title><![CDATA[Genes, Vol. 2, Pages 980-997: Insights into Cross-Kingdom Plant Pathogenic Bacteria]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/980</link>
	<description>Plant and human pathogens have evolved disease factors to successfully exploit their respective hosts. Phytopathogens utilize specific determinants that help to breach reinforced cell walls and manipulate plant physiology to facilitate the disease process, while human pathogens use determinants for exploiting mammalian physiology and overcoming highly developed adaptive immune responses. Emerging research, however, has highlighted the ability of seemingly dedicated human pathogens to cause plant disease, and specialized plant pathogens to cause human disease. Such microbes represent interesting systems for studying the evolution of cross-kingdom pathogenicity, and the benefits and tradeoffs of exploiting multiple hosts with drastically different morphologies and physiologies. This review will explore cross-kingdom pathogenicity, where plants and humans are common hosts. We illustrate that while cross-kingdom pathogenicity appears to be maintained, the directionality of host association (plant to human, or human to plant) is difficult to determine. Cross-kingdom human pathogens, and their potential plant reservoirs, have important implications for the emergence of infectious diseases.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-11-28</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2040980</prism:doi>
	<prism:startingPage>980</prism:startingPage>
		<prism:endingPage>997</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Insights into Cross-Kingdom Plant Pathogenic Bacteria]]></dc:title>
    <dc:date>2011-11-28</dc:date>
	<dc:identifier>doi: 10.3390/genes2040980</dc:identifier>
    	<dc:creator>Morgan W.B. Kirzinger</dc:creator>
		<dc:creator>Geetanchaly Nadarasah</dc:creator>
		<dc:creator>John Stavrinides</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/957">
	<title><![CDATA[Genes, Vol. 2, Pages 957-979: Type Three Secretion System in Pseudomonas savastanoi Pathovars: Does Timing Matter?]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/957</link>
	<description>Pseudomonas savastanoi pv. savastanoi is the causal agent of Olive knot disease, relying on the Type Three Secretion System (TTSS) for its pathogenicity. In this regard, nothing was known about the two other pathovars belonging to this species, pv. nerii and pv. fraxini, characterized by a different host range. Here we report on the organization of the entire TTSS cluster on the three pathovars, and a phylogenetic analysis including the TTSS of those bacteria belonging to the P. syringae complex sequenced so far, highlighting the evolution of each operon (hrpC, hrpJ, hrpRS, hrpU and hrpZ). Moreover, by Real-Time PCR we analyzed the in vitro expression of four main TTSS genes, revealing different activation patterns in the three pathovars, hypothetically related to their diverse virulence behaviors.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-11-25</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2040957</prism:doi>
	<prism:startingPage>957</prism:startingPage>
		<prism:endingPage>979</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Type Three Secretion System in Pseudomonas savastanoi Pathovars: Does Timing Matter?]]></dc:title>
    <dc:date>2011-11-25</dc:date>
	<dc:identifier>doi: 10.3390/genes2040957</dc:identifier>
    	<dc:creator>Stefania Tegli</dc:creator>
		<dc:creator>Andrea Gori</dc:creator>
		<dc:creator>Matteo Cerboneschi</dc:creator>
		<dc:creator>Maria Grazia Cipriani</dc:creator>
		<dc:creator>Angelo Sisto</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/925">
	<title><![CDATA[Genes, Vol. 2, Pages 925-956: Conservation and Occurrence of Trans-Encoded sRNAs in the Rhizobiales]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/925</link>
	<description>Post-transcriptional regulation by trans-encoded sRNAs, for example via base-pairing with target mRNAs, is a common feature in bacteria and influences various cell processes, e.g., response to stress factors. Several studies based on computational and RNA-seq approaches identified approximately 180 trans-encoded sRNAs in Sinorhizobium meliloti. The initial point of this report is a set of 52 trans-encoded sRNAs derived from the former studies. Sequence homology combined with structural conservation analyses were applied to elucidate the occurrence and distribution of conserved trans-encoded sRNAs in the order of Rhizobiales. This approach resulted in 39 RNA family models (RFMs) which showed various taxonomic distribution patterns. Whereas the majority of RFMs was restricted to Sinorhizobium species or the Rhizobiaceae, members of a few RFMs were more widely distributed in the Rhizobiales. Access to this data is provided via the RhizoGATE portal [1,2].</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-11-18</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2040925</prism:doi>
	<prism:startingPage>925</prism:startingPage>
		<prism:endingPage>956</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Conservation and Occurrence of Trans-Encoded sRNAs in the Rhizobiales]]></dc:title>
    <dc:date>2011-11-18</dc:date>
	<dc:identifier>doi: 10.3390/genes2040925</dc:identifier>
    	<dc:creator>Jan Reinkensmeier</dc:creator>
		<dc:creator>Jan-Philip Schlüter</dc:creator>
		<dc:creator>Robert Giegerich</dc:creator>
		<dc:creator>Anke Becker</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/912">
	<title><![CDATA[Genes, Vol. 2, Pages 912-924: Evolution and Quantitative Comparison of Genome-Wide Protein Domain Distributions]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/912</link>
	<description>The metabolic and regulatory capabilities of an organism are implicit in its protein content. This is often hard to estimate, however, due to ascertainment biases inherent in the available genome annotations. Its complement of recognizable functional protein domains and their combinations convey essentially the same information and at the same time are much more readily accessible, although protein domain models trained for one phylogenetic group frequently fail on distantly related sequences. Pooling related domain models based on their GO-annotation in combination with de novo gene prediction methods provides estimates that seem to be less affected by phylogenetic biases. We show here for 18 diverse representatives from all eukaryotic kingdoms that a pooled analysis of the tendencies for co-occurrence or avoidance of protein domains is indeed feasible. This type of analysis can reveal general large-scale patterns in the domain co-occurrence and helps to identify lineage-specific variations in the evolution of protein domains. Somewhat surprisingly, we do not find strong ubiquitous patterns governing the evolutionary behavior of specific functional classes. Instead, there are strong variations between the major groups of Eukaryotes, pointing at systematic differences in their evolutionary constraints.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-11-09</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2040912</prism:doi>
	<prism:startingPage>912</prism:startingPage>
		<prism:endingPage>924</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Evolution and Quantitative Comparison of Genome-Wide Protein Domain Distributions]]></dc:title>
    <dc:date>2011-11-09</dc:date>
	<dc:identifier>doi: 10.3390/genes2040912</dc:identifier>
    	<dc:creator>Arli A. Parikesit</dc:creator>
		<dc:creator>Peter F. Stadler</dc:creator>
		<dc:creator>Sonja J. Prohaska</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/869">
	<title><![CDATA[Genes, Vol. 2, Pages 869-911: Annotation of Protein Domains Reveals Remarkable Conservation in the Functional Make up of Proteomes Across Superkingdoms]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/869</link>
	<description>The functional repertoire of a cell is largely embodied in its proteome, the collection of proteins encoded in the genome of an organism. The molecular functions of proteins are the direct consequence of their structure and structure can be inferred from sequence using hidden Markov models of structural recognition. Here we analyze the functional annotation of protein domain structures in almost a thousand sequenced genomes, exploring the functional and structural diversity of proteomes. We find there is a remarkable conservation in the distribution of domains with respect to the molecular functions they perform in the three superkingdoms of life. In general, most of the protein repertoire is spent in functions related to metabolic processes but there are significant differences in the usage of domains for regulatory and extra-cellular processes both within and between superkingdoms. Our results support the hypotheses that the proteomes of superkingdom Eukarya evolved via genome expansion mechanisms that were directed towards innovating new domain architectures for regulatory and extra/intracellular process functions needed for example to maintain the integrity of multicellular structure or to interact with environmental biotic and abiotic factors (e.g., cell signaling and adhesion, immune responses, and toxin production). Proteomes of microbial superkingdoms Archaea and Bacteria retained fewer numbers of domains and maintained simple and smaller protein repertoires. Viruses appear to play an important role in the evolution of superkingdoms. We finally identify few genomic outliers that deviate significantly from the conserved functional design. These include Nanoarchaeum equitans, proteobacterial symbionts of insects with extremely reduced genomes, Tenericutes and Guillardia theta. These organisms spend most of their domains on information functions, including translation and transcription, rather than on metabolism and harbor a domain repertoire characteristic of parasitic organisms. In contrast, the functional repertoire of the proteomes of the Planctomycetes-Verrucomicrobia-Chlamydiae superphylum was no different than the rest of bacteria, failing to support claims of them representing a separate superkingdom. In turn, Protista and Bacteria shared similar functional distribution patterns suggesting an ancestral evolutionary link between these groups.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-11-08</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2040869</prism:doi>
	<prism:startingPage>869</prism:startingPage>
		<prism:endingPage>911</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Annotation of Protein Domains Reveals Remarkable Conservation in the Functional Make up of Proteomes Across Superkingdoms]]></dc:title>
    <dc:date>2011-11-08</dc:date>
	<dc:identifier>doi: 10.3390/genes2040869</dc:identifier>
    	<dc:creator>Arshan Nasir</dc:creator>
		<dc:creator>Aisha Naeem</dc:creator>
		<dc:creator>Muhammad Jawad Khan</dc:creator>
		<dc:creator>Horacio D. Lopez Nicora</dc:creator>
		<dc:creator>Gustavo Caetano-Anollés</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/853">
	<title><![CDATA[Genes, Vol. 2, Pages 853-868: Occurrence of Plasmids in the Aromatic Degrading Bacterioplankton of the Baltic Sea]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/853</link>
	<description>Plasmids are mobile genetic elements that provide their hosts with many beneficial traits including in some cases the ability to degrade different aromatic compounds. To fulfill the knowledge gap regarding catabolic plasmids of the Baltic Sea water, a total of 209 biodegrading bacterial strains were isolated and screened for the presence of these mobile genetic elements. We found that both large and small plasmids are common in the cultivable Baltic Sea bacterioplankton and are particularly prevalent among bacterial genera Pseudomonas and Acinetobacter. Out of 61 plasmid-containing strains (29% of all isolates), 34 strains were found to carry large plasmids, which could be associated with the biodegradative capabilities of the host bacterial strains. Focusing on the diversity of IncP-9 plasmids, self-transmissible m-toluate (TOL) and salicylate (SAL) plasmids were detected. Sequencing the repA gene of IncP-9 carrying isolates revealed a high diversity within IncP-9 plasmid family, as well as extended the assumed bacterial host species range of the IncP-9 representatives. This study is the first insight into the genetic pool of the IncP-9 catabolic plasmids in the Baltic Sea bacterioplankton.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-11-04</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2040853</prism:doi>
	<prism:startingPage>853</prism:startingPage>
		<prism:endingPage>868</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Occurrence of Plasmids in the Aromatic Degrading Bacterioplankton of the Baltic Sea]]></dc:title>
    <dc:date>2011-11-04</dc:date>
	<dc:identifier>doi: 10.3390/genes2040853</dc:identifier>
    	<dc:creator>Jekaterina Jutkina</dc:creator>
		<dc:creator>Eeva Heinaru</dc:creator>
		<dc:creator>Eve Vedler</dc:creator>
		<dc:creator>Jaanis Juhanson</dc:creator>
		<dc:creator>Ain Heinaru</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/841">
	<title><![CDATA[Genes, Vol. 2, Pages 841-852: Information Management of Genome Enabled Data Streams for Pseudomonas syringae on the Pseudomonas-Plant Interaction (PPI) Website]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/841</link>
	<description>Genome enabled research has led to a large and ever-growing body of data on Pseudomonas syringae genome variation and characteristics, though systematic capture of this information to maximize access by the research community remains a significant challenge. Major P. syringae data streams include genome sequence data, newly identified type III effectors, biological characterization data for type III effectors, and regulatory feature characterization. To maximize data access, the Pseudomonas-Plant Interaction (PPI) website [1] is primarily focused on categorization of type III effectors and curation of effector functional data represented in the Hop database and Pseudomonas-Plant Interaction Resource, respectively. The PPI website further serves as a conduit for incorporation of new genome characterization data into the annotation records at NCBI and other data repositories, and clearinghouse for additional data sets and updates in response to the evolving needs of the research community.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-11-02</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2040841</prism:doi>
	<prism:startingPage>841</prism:startingPage>
		<prism:endingPage>852</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Information Management of Genome Enabled Data Streams for Pseudomonas syringae on the Pseudomonas-Plant Interaction (PPI) Website]]></dc:title>
    <dc:date>2011-11-02</dc:date>
	<dc:identifier>doi: 10.3390/genes2040841</dc:identifier>
    	<dc:creator>Magdalen Lindeberg</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/829">
	<title><![CDATA[Genes, Vol. 2, Pages 829-840: Isolation and Characterization of the Etheostoma tallapoosae (Teleostei: Percidae) CENP-A Gene]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/829</link>
	<description>Both centromeric alpha-satellite sequences as well as centromeric protein A (CENP-A) are highly variable in eukaryotes. CENP-A, a histone H3 variant, is thought to act as the epigenetic “mark” for assembly of centromeric proteins. While most of the histone fold domain (HFD) of the CENP-A is fairly well conserved, a portion of this HFD as well as the N-terminal tail show adaptive variation in both plants and animals. Such variation may establish reproductive barriers that may lead to speciation. The family Percidae contains over 200 species most of which are within the subfamily Etheostomatinae. This subfamily represents a species rich radiation of freshwater fishes in North America and these species exhibit both allopatric and sympatric distributions. In order to study the evolution of CENP-A in percid fish species, we have isolated and characterized the CENP-A gene from Etheostoma tallapoosae by PCR based gene walking. As a result of this study we have demonstrated that the Tallapoosa darter CENP-A gene HFD sequences can be isolated from genomic DNA by nested PCR in a manner that does not lead to the amplification of the highly sequence related histone H3 gene. We also demonstrated that PCR based walking can be subsequently used to isolate the rest of the CENP-A gene and adjacent gene sequences. These adjacent gene sequences provide us with a primer binding sites for PCR isolation of the CENP-A gene from other percid species of fishes. An initial comparison of three percid species shows that the N-terminal tail of the percid CENP-A gene shows adaptive evolution.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-10-31</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2040829</prism:doi>
	<prism:startingPage>829</prism:startingPage>
		<prism:endingPage>840</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Isolation and Characterization of the Etheostoma tallapoosae (Teleostei: Percidae) CENP-A Gene]]></dc:title>
    <dc:date>2011-10-31</dc:date>
	<dc:identifier>doi: 10.3390/genes2040829</dc:identifier>
    	<dc:creator>Dyanna M. Fountain</dc:creator>
		<dc:creator>Leos G. Kral</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/804">
	<title><![CDATA[Genes, Vol. 2, Pages 804-828: Ecological and Temporal Constraints in the Evolution of Bacterial Genomes]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/804</link>
	<description>Studies on the experimental evolution of microorganisms, on their in vivo evolution (mainly in the case of bacteria producing chronic infections), as well as the availability of multiple full genomic sequences, are placing bacteria in the playground of evolutionary studies. In the present article we review the differential contribution to the evolution of bacterial genomes that processes such as gene modification, gene acquisition and gene loss may have when bacteria colonize different habitats that present characteristic ecological features. In particular, we review how the different processes contribute to evolution in microbial communities, in free-living bacteria or in bacteria living in isolation. In addition, we discuss the temporal constraints in the evolution of bacterial genomes, considering bacterial evolution from the perspective of processes of short-sighted evolution and punctual acquisition of evolutionary novelties followed by long stasis periods.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-10-31</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2040804</prism:doi>
	<prism:startingPage>804</prism:startingPage>
		<prism:endingPage>828</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Ecological and Temporal Constraints in the Evolution of Bacterial Genomes]]></dc:title>
    <dc:date>2011-10-31</dc:date>
	<dc:identifier>doi: 10.3390/genes2040804</dc:identifier>
    	<dc:creator>Luis Boto</dc:creator>
		<dc:creator>Jose Luis Martínez</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/788">
	<title><![CDATA[Genes, Vol. 2, Pages 788-803: Identification of Genes Involved in the Glycosylation of Modified Viosamine of Flagellins in Pseudomonas syringae by Mass Spectrometry]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/788</link>
	<description>Previously we revealed that flagellin proteins in Pseudomonas syringae pv. tabaci 6605 (Pta 6605) were glycosylated with a trisaccharide, modified viosamine (mVio)-rhamnose-rhamnose and that glycosylation was required for virulence. We further identified some glycosylation-related genes, including vioA, vioB, vioT, fgt1, and fgt2. In this study, we newly identified vioR and vioM in a so-called viosamine island as biosynthetic genes for glycosylation of mVio in Pta 6605 by the mass spectrometry (MS) of flagellin glycan in the respective mutants. Furthermore, characterization of the mVio-related genes and MS analyses of flagellin glycans in other pathovars of P. syringae revealed that mVio-related genes were essential for mVio biosynthesis in flagellin glycans, and that P. syringae pv. syringae B728a, which does not possess a viosamine island, has a different structure of glycan in its flagellin protein.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-10-28</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2040788</prism:doi>
	<prism:startingPage>788</prism:startingPage>
		<prism:endingPage>803</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Identification of Genes Involved in the Glycosylation of Modified Viosamine of Flagellins in Pseudomonas syringae by Mass Spectrometry]]></dc:title>
    <dc:date>2011-10-28</dc:date>
	<dc:identifier>doi: 10.3390/genes2040788</dc:identifier>
    	<dc:creator>Masanobu Yamamoto</dc:creator>
		<dc:creator>Mayumi Ohnishi-Kameyama</dc:creator>
		<dc:creator>Chi L. Nguyen</dc:creator>
		<dc:creator>Fumiko Taguchi</dc:creator>
		<dc:creator>Kazuhiro Chiku</dc:creator>
		<dc:creator>Tadashi Ishii</dc:creator>
		<dc:creator>Hiroshi Ono</dc:creator>
		<dc:creator>Mitsuru Yoshida</dc:creator>
		<dc:creator>Yuki Ichinose</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/763">
	<title><![CDATA[Genes, Vol. 2, Pages 763-787: Complete Genome Sequence of the Soybean Symbiont Bradyrhizobium japonicum Strain USDA6T]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/763</link>
	<description>The complete nucleotide sequence of the genome of the soybean symbiont Bradyrhizobium japonicum strain USDA6T was determined. The genome of USDA6T is a single circular chromosome of 9,207,384 bp. The genome size is similar to that of the genome of another soybean symbiont, B. japonicum USDA110 (9,105,828 bp). Comparison of the whole-genome sequences of USDA6T and USDA110 showed colinearity of major regions in the two genomes, although a large inversion exists between them. A significantly high level of sequence conservation was detected in three regions on each genome. The gene constitution and nucleotide sequence features in these three regions indicate that they may have been derived from a symbiosis island. An ancestral, large symbiosis island, approximately 860 kb in total size, appears to have been split into these three regions by unknown large-scale genome rearrangements. The two integration events responsible for this appear to have taken place independently, but through comparable mechanisms, in both genomes.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-10-28</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2040763</prism:doi>
	<prism:startingPage>763</prism:startingPage>
		<prism:endingPage>787</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Complete Genome Sequence of the Soybean Symbiont Bradyrhizobium japonicum Strain USDA6T]]></dc:title>
    <dc:date>2011-10-28</dc:date>
	<dc:identifier>doi: 10.3390/genes2040763</dc:identifier>
    	<dc:creator>Takakazu Kaneko</dc:creator>
		<dc:creator>Hiroko Maita</dc:creator>
		<dc:creator>Hideki Hirakawa</dc:creator>
		<dc:creator>Nobukazu Uchiike</dc:creator>
		<dc:creator>Kiwamu Minamisawa</dc:creator>
		<dc:creator>Akiko Watanabe</dc:creator>
		<dc:creator>Shusei Sato</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/748">
	<title><![CDATA[Genes, Vol. 2, Pages 748-762: The Evolution of Protein Structures and Structural Ensembles Under Functional Constraint]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/748</link>
	<description>Protein sequence, structure, and function are inherently linked through evolution and population genetics. Our knowledge of protein structure comes from solved structures in the Protein Data Bank (PDB), our knowledge of sequence through sequences found in the NCBI sequence databases (http://www.ncbi.nlm.nih.gov/), and our knowledge of function through a limited set of in-vitro biochemical studies. How these intersect through evolution is described in the first part of the review. In the second part, our understanding of a series of questions is addressed. This includes how sequences evolve within structures, how evolutionary processes enable structural transitions, how the folding process can change through evolution and what the fitness impacts of this might be. Moving beyond static structures, the evolution of protein kinetics (including normal modes) is discussed, as is the evolution of conformational ensembles and structurally disordered proteins. This ties back to a question of the role of neostructuralization and how it relates to selection on sequences for functions. The relationship between metastability, the fitness landscape, sequence divergence, and organismal effective population size is explored. Lastly, a brief discussion of modeling the evolution of sequences of ordered and disordered proteins is entertained.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-10-28</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2040748</prism:doi>
	<prism:startingPage>748</prism:startingPage>
		<prism:endingPage>762</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[The Evolution of Protein Structures and Structural Ensembles Under Functional Constraint]]></dc:title>
    <dc:date>2011-10-28</dc:date>
	<dc:identifier>doi: 10.3390/genes2040748</dc:identifier>
    	<dc:creator>Jessica Siltberg-Liberles</dc:creator>
		<dc:creator>Johan A. Grahnen</dc:creator>
		<dc:creator>David A. Liberles</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/736">
	<title><![CDATA[Genes, Vol. 2, Pages 736-747: Proteomics Analysis of the Effects of Cyanate on Chromobacterium violaceum Metabolism]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/736</link>
	<description>Chromobacterium violaceum is a gram-negative betaproteobacterium that has been isolated from various Brazilian ecosystems. Its genome contains the cyn operon, which gives it the ability to metabolize highly toxic cyanate into ammonium and carbon dioxide. We used a proteomics approach to investigate the effects of cyanate on the metabolism of this bacterium. The proteome of cells grown with and without cyanate was compared on 2-D gels. Differential spots were digested and identified by mass spectrometry. The bacterium was able to grow at concentrations of up to 1 mM cyanate. Eighteen spots were differentially expressed in the presence of cyanate, of which 16 were downregulated and only two were upregulated. An additional 12 spots were detected only in extracts of cells unexposed to cyanate, and one was expressed only by the exposed cells. Fourteen spots were identified, corresponding to 13 different proteins. We conclude that cyanate promotes expression of enzymes that combat oxidative stress and represses enzymes of the citric acid cycle, strongly affecting the energetic metabolism of the cell. Other proteins that were under-expressed in bacteria exposed to cyanate are involved in amino-acid metabolism or are hypothetical proteins, demonstrating that cyanate also affects expression of genes that are not part of the cyn operon.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-10-19</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2040736</prism:doi>
	<prism:startingPage>736</prism:startingPage>
		<prism:endingPage>747</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Proteomics Analysis of the Effects of Cyanate on Chromobacterium violaceum Metabolism]]></dc:title>
    <dc:date>2011-10-19</dc:date>
	<dc:identifier>doi: 10.3390/genes2040736</dc:identifier>
    	<dc:creator>Rafael A. Baraúna</dc:creator>
		<dc:creator>Alessandra Ciprandi</dc:creator>
		<dc:creator>Agenor V. Santos</dc:creator>
		<dc:creator>Marta S.P. Carepo</dc:creator>
		<dc:creator>Evonnildo C. Gonçalves</dc:creator>
		<dc:creator>Maria P.C. Schneider</dc:creator>
		<dc:creator>Artur Silva</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/706">
	<title><![CDATA[Genes, Vol. 2, Pages 706-735: Involvement of Type IV Pili in Pathogenicity of Plant Pathogenic Bacteria]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/706</link>
	<description>Type IV pili (T4P) are hair-like appendages found on the surface of a wide range of bacteria belonging to the β-, γ-, and δ-Proteobacteria, Cyanobacteria and Firmicutes. They constitute an efficient device for a particular type of bacterial surface motility, named twitching, and are involved in several other bacterial activities and functions, including surface adherence, colonization, biofilm formation, genetic material uptake and virulence. Tens of genes are involved in T4P synthesis and regulation, with the majority of them being generally named pil/fim genes. Despite the multiple functionality of T4P and their well-established role in pathogenicity of animal pathogenic bacteria, relatively little attention has been given to the role of T4P in plant pathogenic bacteria. Only in recent years studies have begun to examine with more attention the relevance of these surface appendages for virulence of plant bacterial pathogens. The aim of this review is to summarize the current knowledge about T4P genetic machinery and its role in the interactions between phytopathogenic bacteria and their plant hosts.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-10-18</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2040706</prism:doi>
	<prism:startingPage>706</prism:startingPage>
		<prism:endingPage>735</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Involvement of Type IV Pili in Pathogenicity of Plant Pathogenic Bacteria]]></dc:title>
    <dc:date>2011-10-18</dc:date>
	<dc:identifier>doi: 10.3390/genes2040706</dc:identifier>
    	<dc:creator>Saul Burdman</dc:creator>
		<dc:creator>Ofir Bahar</dc:creator>
		<dc:creator>Jennifer K. Parker</dc:creator>
		<dc:creator>Leonardo De La Fuente</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/689">
	<title><![CDATA[Genes, Vol. 2, Pages 689-705: RNA-Seq for Plant Pathogenic Bacteria]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/689</link>
	<description>The throughput and single-base resolution of RNA-Sequencing (RNA-Seq) have contributed to a dramatic change in transcriptomic-based inquiries and resulted in many new insights into the complexities of bacterial transcriptomes. RNA-Seq could contribute to similar advances in our understanding of plant pathogenic bacteria but it is still a technology under development with limitations and unknowns that need to be considered. Here, we review some new developments for RNA-Seq and highlight recent findings for host-associated bacteria. We also discuss the technical and statistical challenges in the practical application of RNA-Seq for studying bacterial transcriptomes and describe some of the currently available solutions.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-10-13</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2040689</prism:doi>
	<prism:startingPage>689</prism:startingPage>
		<prism:endingPage>705</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[RNA-Seq for Plant Pathogenic Bacteria]]></dc:title>
    <dc:date>2011-10-13</dc:date>
	<dc:identifier>doi: 10.3390/genes2040689</dc:identifier>
    	<dc:creator>Jeffrey A. Kimbrel</dc:creator>
		<dc:creator>Yanming Di</dc:creator>
		<dc:creator>Jason S. Cumbie</dc:creator>
		<dc:creator>Jeff H. Chang</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/671">
	<title><![CDATA[Genes, Vol. 2, Pages 671-688: Functional Capabilities of the Earliest Peptides and the Emergence of Life]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/671</link>
	<description>Considering how biological macromolecules first evolved, probably within a marine environment, it seems likely the very earliest peptides were not encoded by nucleic acids, or at least not via the genetic code as we know it. An objective of the present work is to demonstrate that sequence-independent peptides, or peptides with variable and unreliable lengths and sequences, have the potential to perform a variety of chemically useful functions such as anion and cation binding and membrane and channel formation as well as simple types of catalysis. These functions tend to be performed with the assistance of the main chain CONH atoms rather than the more variable or limited side chain atoms of the peptides presumed to exist then.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-09-26</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2040671</prism:doi>
	<prism:startingPage>671</prism:startingPage>
		<prism:endingPage>688</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Functional Capabilities of the Earliest Peptides and the Emergence of Life]]></dc:title>
    <dc:date>2011-09-26</dc:date>
	<dc:identifier>doi: 10.3390/genes2040671</dc:identifier>
    	<dc:creator>E. James Milner-White</dc:creator>
		<dc:creator>Michael J. Russell</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/4/661">
	<title><![CDATA[Genes, Vol. 2, Pages 661-670: A Model of DNA Repeat-Assembled Mitotic Chromosomal Skeleton]]></title>
	<link>http://www.mdpi.com/2073-4425/2/4/661</link>
	<description>Despite intensive investigation for decades, the principle of higher-order organization of mitotic chromosomes is unclear. Here, I describe a novel model that emphasizes a critical role of interactions of homologous DNA repeats (repetitive elements; repetitive sequences) in mitotic chromosome architecture. According to the model, DNA repeats are assembled, via repeat interactions (pairing), into compact core structures that govern the arrangement of chromatins in mitotic chromosomes. Tandem repeat assemblies form a chromosomal axis to coordinate chromatins in the longitudinal dimension, while dispersed repeat assemblies form chromosomal nodes around the axis to organize chromatins in the halo. The chromosomal axis and nodes constitute a firm skeleton on which non-skeletal chromatins can be anchored, folded, and supercoiled.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-09-26</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>4</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2040661</prism:doi>
	<prism:startingPage>661</prism:startingPage>
		<prism:endingPage>670</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[A Model of DNA Repeat-Assembled Mitotic Chromosomal Skeleton]]></dc:title>
    <dc:date>2011-09-26</dc:date>
	<dc:identifier>doi: 10.3390/genes2040661</dc:identifier>
    	<dc:creator>Shao-Jun Tang</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/3/640">
	<title><![CDATA[Genes, Vol. 2, Pages 640-660: Genes Involved in the Production of Antimetabolite Toxins by Pseudomonas syringae Pathovars]]></title>
	<link>http://www.mdpi.com/2073-4425/2/3/640</link>
	<description>Pseudomonas syringae is pathogenic in a wide variety of plants, causing diseases with economic impacts. Pseudomonas syringae pathovars produce several toxins that can function as virulence factors and contribute to disease symptoms. These virulence factors include antimetabolite toxins, such as tabtoxin, phaseolotoxin and mangotoxin, which target enzymes in the pathways of amino acid metabolism. The antimetabolite toxins are generally located in gene clusters present in the flexible genomes of specific strains. These gene clusters are typically present in blocks of genes that appear to be integrated into specific sites in the P. syringae core genome. A general overview of the genetic organization and biosynthetic and regulatory functions of these genetic traits of the antimetabolite toxins will be given in the present work.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-09-15</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2030640</prism:doi>
	<prism:startingPage>640</prism:startingPage>
		<prism:endingPage>660</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Genes Involved in the Production of Antimetabolite Toxins by Pseudomonas syringae Pathovars]]></dc:title>
    <dc:date>2011-09-15</dc:date>
	<dc:identifier>doi: 10.3390/genes2030640</dc:identifier>
    	<dc:creator>Eva Arrebola</dc:creator>
		<dc:creator>Francisco M Cazorla</dc:creator>
		<dc:creator>Alejandro Pérez-García</dc:creator>
		<dc:creator>Antonio de Vicente</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/3/627">
	<title><![CDATA[Genes, Vol. 2, Pages 627-639: Comparative Genomics of Erwinia amylovora and Related Erwinia Species—What do We Learn?]]></title>
	<link>http://www.mdpi.com/2073-4425/2/3/627</link>
	<description>Erwinia amylovora, the causal agent of fire blight disease of apples and pears, is one of the most important plant bacterial pathogens with worldwide economic significance. Recent reports on the complete or draft genome sequences of four species in the genus Erwinia, including E. amylovora, E. pyrifoliae, E. tasmaniensis, and E. billingiae, have provided us near complete genetic information about this pathogen and its closely-related species. This review describes in silico subtractive hybridization-based comparative genomic analyses of eight genomes currently available, and highlights what we have learned from these comparative analyses, as well as genetic and functional genomic studies. Sequence analyses reinforce the assumption that E. amylovora is a relatively homogeneous species and support the current classification scheme of E. amylovora and its related species. The potential evolutionary origin of these Erwinia species is also proposed. The current understanding of the pathogen, its virulence mechanism and host specificity from genome sequencing data is summarized. Future research directions are also suggested.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-09-15</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2030627</prism:doi>
	<prism:startingPage>627</prism:startingPage>
		<prism:endingPage>639</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Comparative Genomics of Erwinia amylovora and Related Erwinia Species—What do We Learn?]]></dc:title>
    <dc:date>2011-09-15</dc:date>
	<dc:identifier>doi: 10.3390/genes2030627</dc:identifier>
    	<dc:creator>Youfu Zhao</dc:creator>
		<dc:creator>Mingsheng Qi</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/3/608">
	<title><![CDATA[Genes, Vol. 2, Pages 608-626: Protein Folding Absent Selection]]></title>
	<link>http://www.mdpi.com/2073-4425/2/3/608</link>
	<description>Biological proteins are known to fold into specific 3D conformations. However, the fundamental question has remained: Do they fold because they are biological, and evolution has selected sequences which fold? Or is folding a common trait, widespread throughout sequence space? To address this question arbitrary, unevolved, random-sequence proteins were examined for structural features found in folded, biological proteins. Libraries of long (71 residue), random-sequence polypeptides, with ensemble amino acid composition near the mean for natural globular proteins, were expressed as cleavable fusions with ubiquitin. The structural properties of both the purified pools and individual isolates were then probed using circular dichroism, fluorescence emission, and fluorescence quenching techniques. Despite this necessarily sparse “sampling” of sequence space, structural properties that define globular biological proteins, namely collapsed conformations, secondary structure, and cooperative unfolding, were found to be prevalent among unevolved sequences. Thus, for polypeptides the size of small proteins, natural selection is not necessary to account for the compact and cooperative folded states observed in nature.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-08-16</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2030608</prism:doi>
	<prism:startingPage>608</prism:startingPage>
		<prism:endingPage>626</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Protein Folding Absent Selection]]></dc:title>
    <dc:date>2011-08-16</dc:date>
	<dc:identifier>doi: 10.3390/genes2030608</dc:identifier>
    	<dc:creator>Thomas H. LaBean</dc:creator>
		<dc:creator>Tauseef R. Butt</dc:creator>
		<dc:creator>Stuart A. Kauffman</dc:creator>
		<dc:creator>Erik A. Schultes</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/3/599">
	<title><![CDATA[Genes, Vol. 2, Pages 599-607: Correction: Nagy, A., et al. Reassessing Domain Architecture Evolution of Metazoan Proteins: Major Impact of Gene Prediction Errors. Genes 2011, 2, 449-501.]]></title>
	<link>http://www.mdpi.com/2073-4425/2/3/599</link>
	<description>We found some errors in the published versions of Figure S2, Figure S3 and Figure S8 of our paper [1]. The correct Figures are presented below.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-08-16</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Correction</prism:section>
	<prism:doi>10.3390/genes2030599</prism:doi>
	<prism:startingPage>599</prism:startingPage>
		<prism:endingPage>607</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Correction: Nagy, A., et al. Reassessing Domain Architecture Evolution of Metazoan Proteins: Major Impact of Gene Prediction Errors. Genes 2011, 2, 449-501.]]></dc:title>
    <dc:date>2011-08-16</dc:date>
	<dc:identifier>doi: 10.3390/genes2030599</dc:identifier>
    	<dc:creator>Alinda Nagy</dc:creator>
		<dc:creator>György Szláma</dc:creator>
		<dc:creator>Eszter Szarka</dc:creator>
		<dc:creator>Mária Trexler</dc:creator>
		<dc:creator>László Bányai</dc:creator>
		<dc:creator>László Patthy</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/3/578">
	<title><![CDATA[Genes, Vol. 2, Pages 578-598: Reassessing Domain Architecture Evolution of Metazoan Proteins: The Contribution of Different Evolutionary Mechanisms]]></title>
	<link>http://www.mdpi.com/2073-4425/2/3/578</link>
	<description>In the accompanying papers we have shown that sequence errors of public databases and confusion of paralogs and epaktologs (proteins that are related only through the independent acquisition of the same domain types) significantly distort the picture that emerges from comparison of the domain architecture (DA) of multidomain Metazoan proteins since they introduce a strong bias in favor of terminal over internal DA change. The issue of whether terminal or internal DA changes occur with greater probability has very important implications for the DA evolution of multidomain proteins since gene fusion can add domains only at terminal positions, whereas domain-shuffling is capable of inserting domains both at internal and terminal positions. As a corollary, overestimation of terminal DA changes may be misinterpreted as evidence for a dominant role of gene fusion in DA evolution. In this manuscript we show that in several recent studies of DA evolution of Metazoa the authors used databases that are significantly contaminated with incomplete, abnormal and mispredicted sequences (e.g., UniProtKB/TrEMBL, EnsEMBL) and/or the authors failed to separate paralogs and epaktologs, explaining why these studies concluded that the major mechanism for gains of new domains in metazoan proteins is gene fusion. In contrast with the latter conclusion, our studies on high quality orthologous and paralogous Swiss-Prot sequences confirm that shuffling of mobile domains had a major role in the evolution of multidomain proteins of Metazoa and especially those formed in early vertebrates.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-08-05</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2030578</prism:doi>
	<prism:startingPage>578</prism:startingPage>
		<prism:endingPage>598</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Reassessing Domain Architecture Evolution of Metazoan Proteins: The Contribution of Different Evolutionary Mechanisms]]></dc:title>
    <dc:date>2011-08-05</dc:date>
	<dc:identifier>doi: 10.3390/genes2030578</dc:identifier>
    	<dc:creator>Alinda Nagy</dc:creator>
		<dc:creator>Laszlo Patthy</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/3/562">
	<title><![CDATA[Genes, Vol. 2, Pages 562-577: Aberrant Single Exon Skipping is not Altered by Age in Exons of NF1, RABAC1, AATF or PCGF2 in Human Blood Cells and Fibroblasts]]></title>
	<link>http://www.mdpi.com/2073-4425/2/3/562</link>
	<description>In human pre-mRNA splicing, infrequent errors occur resulting in erroneous splice products as shown in a genome-wide approach. One characteristic subgroup consists of products lacking one cassette exon. The noise in the splicing process, represented by those misspliced products, can be increased by cold shock treatment or by inhibiting the nonsense mediated decay. Here, we investigated whether the splicing noise frequency increases with age in vivo in peripheral bloods cells or in vitro in cultured and aged fibroblasts from healthy donors. Splicing noise frequency was measured for four erroneously skipped NF1 exons and one exon of RABAC1, AATF and PCGF2 by RT-qPCR. Measurements were validated in cultured fibroblasts treated with cold shock or puromycin. Intragenic but not interpersonal differences were detected in splicing noise frequencies in vivo in peripheral blood cells of 11 healthy donors (15 y–85 y) and in in vitro senescent fibroblasts from three further donors. No correlation to the age of the donors was found in the splicing noise frequencies. Our data demonstrates that splicing error frequencies are not altered by age in peripheral blood cells or in vitro aged fibroblasts in the tested exons of the four investigated genes, indicating a high importance of correct splicing in these proliferating aged cells.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-08-02</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2030562</prism:doi>
	<prism:startingPage>562</prism:startingPage>
		<prism:endingPage>577</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Aberrant Single Exon Skipping is not Altered by Age in Exons of NF1, RABAC1, AATF or PCGF2 in Human Blood Cells and Fibroblasts]]></dc:title>
    <dc:date>2011-08-02</dc:date>
	<dc:identifier>doi: 10.3390/genes2030562</dc:identifier>
    	<dc:creator>Kevin Mellert</dc:creator>
		<dc:creator>Michael Uhl</dc:creator>
		<dc:creator>Josef Högel</dc:creator>
		<dc:creator>Markus Lamla</dc:creator>
		<dc:creator>Ralf Kemkemer</dc:creator>
		<dc:creator>Dieter Kaufmann</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/3/516">
	<title><![CDATA[Genes, Vol. 2, Pages 516-561: Reassessing Domain Architecture Evolution of Metazoan Proteins: Major Impact of Errors Caused by Confusing Paralogs and Epaktologs]]></title>
	<link>http://www.mdpi.com/2073-4425/2/3/516</link>
	<description>In the accompanying paper (Nagy, Szláma, Szarka, Trexler, Bányai, Patthy, Reassessing Domain Architecture Evolution of Metazoan Proteins: Major Impact of Gene Prediction Errors) we showed that in the case of UniProtKB/TrEMBL, RefSeq, EnsEMBL and NCBI’s GNOMON predicted protein sequences of Metazoan species the contribution of erroneous (incomplete, abnormal, mispredicted) sequences to domain architecture (DA) differences of orthologous proteins might be greater than those of true gene rearrangements. Based on these findings, we suggest that earlier genome-scale studies based on comparison of predicted (frequently mispredicted) protein sequences may have led to some erroneous conclusions about the evolution of novel domain architectures of multidomain proteins. In this manuscript we examine the impact of confusing paralogous and epaktologous multidomain proteins (i.e., those that are related only through the independent acquisition of the same domain types) on conclusions drawn about DA evolution of multidomain proteins in Metazoa. To estimate the contribution of this type of error we have used as reference UniProtKB/Swiss-Prot sequences from protein families with well-characterized evolutionary histories. We have used two types of paralogy-group construction procedures and monitored the impact of various parameters on the separation of true paralogs from epaktologs on correctly annotated Swiss-Prot entries of multidomain proteins. Our studies have shown that, although public protein family databases are contaminated with epaktologs, analysis of the structure of sequence similarity networks of multidomain proteins provides an efficient means for the separation of epaktologs and paralogs. We have also demonstrated that contamination of protein families with epaktologs increases the apparent rate of DA change and introduces a bias in DA differences in as much as it increases the proportion of terminal over internal DA differences.We have shown that confusing paralogous and epaktologous multidomain proteins significantly increases the apparent rate of DA change in Metazoa and introduces a positional bias in favor of terminal over internal DA changes. Our findings caution that earlier studies based on analysis of datasets of protein families that were contaminated with epaktologs may have led to some erroneous conclusions about the evolution of novel domain architectures of multidomain proteins. A reassessment of the DA evolution of multidomain proteins is presented in an accompanying paper [1].</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-08-02</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2030516</prism:doi>
	<prism:startingPage>516</prism:startingPage>
		<prism:endingPage>561</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Reassessing Domain Architecture Evolution of Metazoan Proteins: Major Impact of Errors Caused by Confusing Paralogs and Epaktologs]]></dc:title>
    <dc:date>2011-08-02</dc:date>
	<dc:identifier>doi: 10.3390/genes2030516</dc:identifier>
    	<dc:creator>Alinda Nagy</dc:creator>
		<dc:creator>László Bányai</dc:creator>
		<dc:creator>László Patthy</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/3/502">
	<title><![CDATA[Genes, Vol. 2, Pages 502-515: Chromatin Organization by Repetitive Elements (CORE): A Genomic Principle for the Higher-Order Structure of Chromosomes]]></title>
	<link>http://www.mdpi.com/2073-4425/2/3/502</link>
	<description>Eukaryotic genomes contain a large amount of DNA repeats (also known as repetitive DNA, repetitive elements, and repetitive sequences). Here, I propose a role of repetitive DNA in the formation of higher-order structures of chromosomes. The central idea of this theory is that chromatin regions with repetitive sequences pair with regions harboring homologous repeats and that such somatic repeat pairing (RP) assembles repetitive DNA chromatin into compact chromosomal domains that specify chromatin folding in a site-directed manner. According to this theory, DNA repeats are not randomly distributed in the genome. Instead, they form a core framework that coordinates the architecture of chromosomes. In contrast to the viewpoint that DNA repeats are genomic ‘junk’, this theory advocates that repetitive sequences are chromatin organizer modules that determine chromatin-chromatin contact points within chromosomes. This novel concept, if correct, would suggest that DNA repeats in the linear genome encode a blueprint for higher-order chromosomal organization.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-08-02</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2030502</prism:doi>
	<prism:startingPage>502</prism:startingPage>
		<prism:endingPage>515</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Chromatin Organization by Repetitive Elements (CORE): A Genomic Principle for the Higher-Order Structure of Chromosomes]]></dc:title>
    <dc:date>2011-08-02</dc:date>
	<dc:identifier>doi: 10.3390/genes2030502</dc:identifier>
    	<dc:creator>Shao-Jun Tang</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/3/449">
	<title><![CDATA[Genes, Vol. 2, Pages 449-501: Reassessing Domain Architecture Evolution of Metazoan Proteins: Major Impact of Gene Prediction Errors]]></title>
	<link>http://www.mdpi.com/2073-4425/2/3/449</link>
	<description>In view of the fact that appearance of novel protein domain architectures (DA) is closely associated with biological innovations, there is a growing interest in the genome-scale reconstruction of the evolutionary history of the domain architectures of multidomain proteins. In such analyses, however, it is usually ignored that a significant proportion of Metazoan sequences analyzed is mispredicted and that this may seriously affect the validity of the conclusions. To estimate the contribution of errors in gene prediction to differences in DA of predicted proteins, we have used the high quality manually curated UniProtKB/Swiss-Prot database as a reference. For genome-scale analysis of domain architectures of predicted proteins we focused on RefSeq, EnsEMBL and NCBI’s GNOMON predicted sequences of Metazoan species with completely sequenced genomes. Comparison of the DA of UniProtKB/Swiss-Prot sequences of worm, fly, zebrafish, frog, chick, mouse, rat and orangutan with those of human Swiss-Prot entries have identified relatively few cases where orthologs had different DA, although the percentage with different DA increased with evolutionary distance. In contrast with this, comparison of the DA of human, orangutan, rat, mouse, chicken, frog, zebrafish, worm and fly RefSeq, EnsEMBL and NCBI’s GNOMON predicted protein sequences with those of the corresponding/orthologous human Swiss-Prot entries identified a significantly higher proportion of domain architecture differences than in the case of the comparison of Swiss-Prot entries. Analysis of RefSeq, EnsEMBL and NCBI’s GNOMON predicted protein sequences with DAs different from those of their Swiss-Prot orthologs confirmed that the higher rate of domain architecture differences is due to errors in gene prediction, the majority of which could be corrected with our FixPred protocol. We have also demonstrated that contamination of databases with incomplete, abnormal or mispredicted sequences introduces a bias in DA differences in as much as it increases the proportion of terminal over internal DA differences. Here we have shown that in the case of RefSeq, EnsEMBL and NCBI’s GNOMON predicted protein sequences of Metazoan species, the contribution of gene prediction errors to domain architecture differences of orthologs is comparable to or greater than those due to true gene rearrangements. We have also demonstrated that domain architecture comparison may serve as a useful tool for the quality control of gene predictions and may thus guide the correction of sequence errors. Our findings caution that earlier genome-scale studies based on comparison of predicted (frequently mispredicted) protein sequences may have led to some erroneous conclusions about the evolution of novel domain architectures of multidomain proteins. A reassessment of the DA evolution of orthologous and paralogous proteins is presented in an accompanying paper [1].</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-07-13</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2030449</prism:doi>
	<prism:startingPage>449</prism:startingPage>
		<prism:endingPage>501</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Reassessing Domain Architecture Evolution of Metazoan Proteins: Major Impact of Gene Prediction Errors]]></dc:title>
    <dc:date>2011-07-13</dc:date>
	<dc:identifier>doi: 10.3390/genes2030449</dc:identifier>
    	<dc:creator>Alinda Nagy</dc:creator>
		<dc:creator>György Szláma</dc:creator>
		<dc:creator>Eszter Szarka</dc:creator>
		<dc:creator>Mária Trexler</dc:creator>
		<dc:creator>László Bányai</dc:creator>
		<dc:creator>László Patthy</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/3/420">
	<title><![CDATA[Genes, Vol. 2, Pages 420-448: Understanding the Molecular Circuitry of Cell Lineage Specification in the Early Mouse Embryo]]></title>
	<link>http://www.mdpi.com/2073-4425/2/3/420</link>
	<description>Pluripotent stem cells hold great promise for cell-based therapies in regenerative medicine. However, critical to understanding and exploiting mechanisms of cell lineage specification, epigenetic reprogramming, and the optimal environment for maintaining and differentiating pluripotent stem cells is a fundamental knowledge of how these events occur in normal embryogenesis. The early mouse embryo has provided an excellent model to interrogate events crucial in cell lineage commitment and plasticity, as well as for embryo-derived lineage-specific stem cells and induced pluripotent stem (iPS) cells. Here we provide an overview of cell lineage specification in the early (preimplantation) mouse embryo focusing on the transcriptional circuitry and epigenetic marks necessary for successive differentiation events leading to the formation of the blastocyst.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-07-13</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2030420</prism:doi>
	<prism:startingPage>420</prism:startingPage>
		<prism:endingPage>448</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Understanding the Molecular Circuitry of Cell Lineage Specification in the Early Mouse Embryo]]></dc:title>
    <dc:date>2011-07-13</dc:date>
	<dc:identifier>doi: 10.3390/genes2030420</dc:identifier>
    	<dc:creator>Anna Bergsmedh</dc:creator>
		<dc:creator>Mary E. Donohoe</dc:creator>
		<dc:creator>Rebecca-Ayme Hughes</dc:creator>
		<dc:creator>Anna-Katerina Hadjantonakis</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/3/397">
	<title><![CDATA[Genes, Vol. 2, Pages 397-419: Delineating Chromosomal Breakpoints in Radiation-Induced Papillary Thyroid Cancer]]></title>
	<link>http://www.mdpi.com/2073-4425/2/3/397</link>
	<description>Recurrent translocations are well known hallmarks of many human solid tumors and hematological disorders, where patient- and breakpoint-specific information may facilitate prognostication and individualized therapy. In thyroid carcinomas, the proto-oncogenes RET and NTRK1 are often found to be activated through chromosomal rearrangements. However, many sporadic tumors and papillary thyroid carcinomas (PTCs) arising in patients with a history of exposure to elevated levels of ionizing irradiation do not carry these known abnormalities. We developed a rapid scheme to screen tumor cell metaphase spreads and identify candidate genes of tumorigenesis and neoplastic progression for subsequent functional studies. Using a series of overnight fluorescence in situ hybridization (FISH) experiments with pools comprised of bacterial artificial chromosome (BAC) clones, it now becomes possible to rapidly refine breakpoint maps and, within one week, progress from the low resolution Spectral Karyotyping (SKY) maps or Giemsa-banding (G-banding) karyotypes to fully integrated, high resolution physical maps including a list of candiate genes in the critical regions.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-06-28</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>3</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2030397</prism:doi>
	<prism:startingPage>397</prism:startingPage>
		<prism:endingPage>419</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Delineating Chromosomal Breakpoints in Radiation-Induced Papillary Thyroid Cancer]]></dc:title>
    <dc:date>2011-06-28</dc:date>
	<dc:identifier>doi: 10.3390/genes2030397</dc:identifier>
    	<dc:creator>Heinz-Ulrich G. Weier</dc:creator>
		<dc:creator>Yuko Ito</dc:creator>
		<dc:creator>Johnson Kwan</dc:creator>
		<dc:creator>Jan Smida</dc:creator>
		<dc:creator>Jingly F. Weier</dc:creator>
		<dc:creator>Ludwig Hieber</dc:creator>
		<dc:creator>Chun-Mei Lu</dc:creator>
		<dc:creator>Lars Lehmann</dc:creator>
		<dc:creator>Mei Wang</dc:creator>
		<dc:creator>Haig J. Kassabian</dc:creator>
		<dc:creator>Hui Zeng</dc:creator>
		<dc:creator>Benjamin O’Brien</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/2/394">
	<title><![CDATA[Genes, Vol. 2, Pages 394-396: Special Issue: Gene Conversion in Duplicated Genes]]></title>
	<link>http://www.mdpi.com/2073-4425/2/2/394</link>
	<description>Gene conversion is an outcome of recombination, causing non-reciprocal transfer of a DNA fragment. Several decades later than the discovery of crossing over, gene conversion was first recognized in fungi when non-Mendelian allelic distortion was observed. Gene conversion occurs when a double-strand break is repaired by using homologous sequences in the genome. In meiosis, there is a strong preference to use the orthologous region (allelic gene conversion), which causes non-Mendelian allelic distortion, but paralogous or duplicated regions can also be used for the repair (inter-locus gene conversion, also referred to as non-allelic and ectopic gene conversion). The focus of this special issue is the latter, interlocus gene conversion; the rate is lower than allelic gene conversion but it has more impact on phenotype because more drastic changes in DNA sequence are involved.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-06-17</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Editorial</prism:section>
	<prism:doi>10.3390/genes2020394</prism:doi>
	<prism:startingPage>394</prism:startingPage>
		<prism:endingPage>396</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Special Issue: Gene Conversion in Duplicated Genes]]></dc:title>
    <dc:date>2011-06-17</dc:date>
	<dc:identifier>doi: 10.3390/genes2020394</dc:identifier>
    	<dc:creator>Hideki Innan</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/2/384">
	<title><![CDATA[Genes, Vol. 2, Pages 384-393: Allelic Imbalances in Radiation—Associated Acute Myeloid Leukemia]]></title>
	<link>http://www.mdpi.com/2073-4425/2/2/384</link>
	<description>Acute myeloid leukemia (AML) can develop as a secondary malignancy following radiotherapy, but also following low-dose environmental or occupational radiation exposure. Therapy-related AML frequently carries deletions of chromosome 5q and/or 7, but for low-dose exposure associated AML this has not been described. For the present study we performed genome-wide screens for loss-of-heterozygosity (LOH) in a set of 19 AML cases that developed after radiation-exposure following the Chernobyl accident. Using Affymetrix SNP arrays we found large regions of LOH in 16 of the cases. Eight cases (42%) demonstrated LOH at 5q and/or 7, which is a known marker of complex karyotypic changes and poor prognosis. We could show here for the first time that exposure to low-dose ionizing radiation induces AML with molecular alterations similar to those seen in therapy-related cases.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-05-31</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2020384</prism:doi>
	<prism:startingPage>384</prism:startingPage>
		<prism:endingPage>393</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Allelic Imbalances in Radiation—Associated Acute Myeloid Leukemia]]></dc:title>
    <dc:date>2011-05-31</dc:date>
	<dc:identifier>doi: 10.3390/genes2020384</dc:identifier>
    	<dc:creator>Sergiy V. Klymenko</dc:creator>
		<dc:creator>Jan Smida</dc:creator>
		<dc:creator>Michael J. Atkinson</dc:creator>
		<dc:creator>Volodymir G. Bebeshko</dc:creator>
		<dc:creator>Michaela Nathrath</dc:creator>
		<dc:creator>Michael Rosemann</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/2/374">
	<title><![CDATA[Genes, Vol. 2, Pages 374-383: Clinical Experiences with Radiation Induced Thyroid Cancer after Chernobyl]]></title>
	<link>http://www.mdpi.com/2073-4425/2/2/374</link>
	<description>The risk of developing thyroid cancer increases considerably after exposure to external or internal radiation, especially in children below the age of 10. After the Chernobyl reactor accident, the yearly incidence of childhood thyroid cancer in Belarus increased to approximately 40 per 1.000.000 in girls and to roughly 20 per 1.000.000 in boys compared to approximately 0.5 cases per 1.000.000 prior to the accident. Typically, young children with thyroid cancer after radiation exposure present in ≈95% of the cases as papillary cancers, in ≈50% as invasive tumors growing outside the thyroid capsule, in ≈65% with lymph node metastases and in ≈15% with distant metastases. A joint Belarusian-German project starting in April 1993 that combined treatment with surgery and radioiodine was organized in 237 selected children from Belarus who were exposed to the Chernobyl fallout and had advanced stages of thyroid cancer. The study group included 141 girls and 96 boys. Their median age at the time of the accident was 1.7 years; whereas the median age at the time of diagnosis was 12.4 years. With the exception of two cases with follicular histology, the majority of the patients had been diagnosed with papillary thyroid cancers. In 63%, the tumor had grown outside the thyroid capsule and invaded the tissue of the neck (pT4). Nearly all of the selected cases (96%) showed-up with lymph node metastases (pN1) and 43% of the patients with distant metastases mainly to the lungs (pM1). In 58% of the children, complete remissions of thyroid cancer could be achieved until December 31st 2010 and in 34% of the children, stable partial remissions; in the remaining 8% of the patients, partial remissions were observed. The risk of radiation-induced thyroid cancer increased considerably in children and adolescents who were affected by the Chernobyl reactor accident. In spite of the fact, that thyroid cancers in young children seem to behave more aggressively than in older patients, the results of combined treatment with thyroidectomy, radioiodine therapy and thyroid hormone replacement are excellent.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-05-31</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2020374</prism:doi>
	<prism:startingPage>374</prism:startingPage>
		<prism:endingPage>383</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Clinical Experiences with Radiation Induced Thyroid Cancer after Chernobyl]]></dc:title>
    <dc:date>2011-05-31</dc:date>
	<dc:identifier>doi: 10.3390/genes2020374</dc:identifier>
    	<dc:creator>Christoph Reiners</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/2/360">
	<title><![CDATA[Genes, Vol. 2, Pages 360-373: A Reverse Transcriptase-Dependent Mechanism Is Essential for Murine Preimplantation Development]]></title>
	<link>http://www.mdpi.com/2073-4425/2/2/360</link>
	<description>LINE-1 (Long Interspersed Nuclear elements) and HERVs (Human Endogenous Retroviruses) are two families of retrotransposons which together account for about 28% of the human genome. Genes harbored within LINE-1 and HERV retrotransposons, particularly that encoding the reverse transcriptase (RT) enzyme, are generally expressed at low levels in differentiated cells, but their expression is up-regulated in embryonic tissues and transformed cells. Here we review evidence indicating that the LINE-1-encoded RT plays regulatory roles in early embryonic development. Indeed, antisense-mediated inhibition of expression of a highly expressed LINE-1 family in mouse zygotes caused developmental arrest at the two- or four-cell embryo stages. Development is also arrested when the embryo endogenous RT activity is pharmacologically inhibited by nevirapine, an RT inhibitor currently employed in AIDS treatment. The arrest of embryonic development is irreversible even after RT inhibition is removed and it is associated with subverted gene expression profiles. These data indicate an early requirement for LINE-1-encoded RT to support early developmental progression. Consistent with this, recent findings indicate that a reverse transcription wave is triggered in the zygote a few hours after fertilization and is propagated at least through the first two rounds of cell division. On the whole these findings suggest that reverse transcription is strictly required in early embryos as a key component of a novel RT-dependent mechanism that regulated the proper unfolding of the developmental program.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-05-18</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2020360</prism:doi>
	<prism:startingPage>360</prism:startingPage>
		<prism:endingPage>373</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[A Reverse Transcriptase-Dependent Mechanism Is Essential for Murine Preimplantation Development]]></dc:title>
    <dc:date>2011-05-18</dc:date>
	<dc:identifier>doi: 10.3390/genes2020360</dc:identifier>
    	<dc:creator>Ilaria Sciamanna</dc:creator>
		<dc:creator>Patrizia Vitullo</dc:creator>
		<dc:creator>Angela Curatolo</dc:creator>
		<dc:creator>Corrado Spadafora</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/2/345">
	<title><![CDATA[Genes, Vol. 2, Pages 345-359: Post-Transcriptional Control of Gene Expression in Mouse Early Embryo Development: A View from the Tip of the Iceberg]]></title>
	<link>http://www.mdpi.com/2073-4425/2/2/345</link>
	<description>Fertilization is a very complex biological process that requires the perfect cooperation between two highly specialized cells: the male and female gametes. The oocyte provides the physical space where this process takes place, most of the energetic need, and half of the genetic contribution. The spermatozoon mostly contributes the other half of the chromosomes and it is specialized to reach and to penetrate the oocyte. Notably, the mouse oocyte and early embryo are transcriptionally inactive. Hence, they fully depend on the maternal mRNAs and proteins stored during oocyte maturation to drive the onset of development. The new embryo develops autonomously around the four-cell stage, when maternal supplies are exhausted and the zygotic genome is activated in mice. This oocyte-to-embryo transition needs an efficient and tightly regulated translation of the maternally-inherited mRNAs, which likely contributes to embryonic genome activation. Full understanding of post-transcriptional regulation of gene expression in early embryos is crucial to understand the reprogramming of the embryonic genome, it might help driving reprogramming of stem cells in vitro and will likely improve in vitro culturing of mammalian embryos for assisted reproduction. Nevertheless, the knowledge of the mechanism(s) underlying this fundamental step in embryogenesis is still scarce, especially if compared to other model organisms. We will review here the current knowledge on the post-transcriptional control of gene expression in mouse early embryos and discuss some of the unanswered questions concerning this fascinating field of biology.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-04-06</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2020345</prism:doi>
	<prism:startingPage>345</prism:startingPage>
		<prism:endingPage>359</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Post-Transcriptional Control of Gene Expression in Mouse Early Embryo Development: A View from the Tip of the Iceberg]]></dc:title>
    <dc:date>2011-04-06</dc:date>
	<dc:identifier>doi: 10.3390/genes2020345</dc:identifier>
    	<dc:creator>Enrica Bianchi</dc:creator>
		<dc:creator>Claudio Sette</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/2/332">
	<title><![CDATA[Genes, Vol. 2, Pages 332-344: Effect of Culture Conditions on Viability of Mouse and Rat Embryos Developed in Vitro]]></title>
	<link>http://www.mdpi.com/2073-4425/2/2/332</link>
	<description>Currently in vitro culture of mouse preimplantation embryos has become a very important technique to investigate different mechanisms of early embryogenesis. However, there is a big difference in the preimplantation development between mammalian species. Despite close relatedness to mice, in vitro cultivation of rat preimplantation embryos is still delicate and needs further investigation and optimizations. In this study we have compared the in vitro developmental potential of mouse and rat embryos cultured at different culture conditions in parallel experiments. Interestingly, mouse zygotes developed in vitro until blastocyst stage even in inadequate medium without any phosphates and with low osmolarity which was formulated especially for cultivation of rat embryos. Rat parthenotes and zygotes developed in M16 medium formulated for mouse embryos only till 2-cell stage and further development is blocked completely at this stage. Moreover, developmental ability of rat embryos in vitro was significantly lower in comparison with mouse even in special rat mR1ECM medium. Mouse and rat embryos at 2-cell stage obtained in vivo developed until blastocyst stages significantly more efficiently compared to zygotes. Culture of mouse zygotes in glass capillaries resulted in a significantly higher rate of morula and blastocyst development compared with dishes. The Well-of-the-Well system resulted in a significant improvement when compared with dishes for the culture of rat zygotes only until morula stage. Reduced oxygen tension increased the developmental rate of rat but not mouse zygotes until blastocyst stage. This study demonstrates that development of early preimplantation embryos is altered by different culture conditions and show strong differences even between two related species such as mice and rats. Therefore, for understanding the fundamental mechanisms of early mammalian development it is very important to use embryos of various species.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-04-01</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2020332</prism:doi>
	<prism:startingPage>332</prism:startingPage>
		<prism:endingPage>344</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Effect of Culture Conditions on Viability of Mouse and Rat Embryos Developed in Vitro]]></dc:title>
    <dc:date>2011-04-01</dc:date>
	<dc:identifier>doi: 10.3390/genes2020332</dc:identifier>
    	<dc:creator>Elena Popova</dc:creator>
		<dc:creator>Michael Bader</dc:creator>
		<dc:creator>Alexander Krivokharchenko</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/2/313">
	<title><![CDATA[Genes, Vol. 2, Pages 313-331: The Rate and Tract Length of Gene Conversion between Duplicated Genes]]></title>
	<link>http://www.mdpi.com/2073-4425/2/2/313</link>
	<description>Interlocus gene conversion occurs such that a certain length of DNA fragment is non-reciprocally transferred (copied and pasted) between paralogous regions. To understand the rate and tract length of gene conversion, there are two major approaches. One is based on mutation-accumulation experiments, and the other uses natural DNA sequence variation. In this review, we overview the two major approaches and discuss their advantages and disadvantages. In addition, to demonstrate the importance of statistical analysis of empirical and evolutionary data for estimating tract length, we apply a maximum likelihood method to several data sets.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-03-25</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2020313</prism:doi>
	<prism:startingPage>313</prism:startingPage>
		<prism:endingPage>331</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[The Rate and Tract Length of Gene Conversion between Duplicated Genes]]></dc:title>
    <dc:date>2011-03-25</dc:date>
	<dc:identifier>doi: 10.3390/genes2020313</dc:identifier>
    	<dc:creator>Sayaka P. Mansai</dc:creator>
		<dc:creator>Tomoyuki Kado</dc:creator>
		<dc:creator>Hideki Innan</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/2/298">
	<title><![CDATA[Genes, Vol. 2, Pages 298-312: Pluripotent Stem Cell Studies Elucidate the Underlying Mechanisms of Early Embryonic Development]]></title>
	<link>http://www.mdpi.com/2073-4425/2/2/298</link>
	<description>Early embryonic development is a multi-step process that is intensively regulated by various signaling pathways. Because of the complexity of the embryo and the interactions between the germ layers, it is very difficult to fully understand how these signals regulate embryo patterning. Recently, pluripotent stem cell lines derived from different developmental stages have provided an in vitro system for investigating molecular mechanisms regulating cell fate decisions. In this review, we summarize the major functions of the BMP, FGF, Nodal and Wnt signaling pathways, which have well-established roles in vertebrate embryogenesis. Then, we highlight recent studies in pluripotent stem cells that have revealed the stage-specific roles of BMP，FGF and Nodal pathways during neural differentiation. These findings enhance our understanding of the stepwise regulation of embryo patterning by particular signaling pathways and provide new insight into the mechanisms underlying early embryonic development.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-03-24</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>2</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2020298</prism:doi>
	<prism:startingPage>298</prism:startingPage>
		<prism:endingPage>312</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[Pluripotent Stem Cell Studies Elucidate the Underlying Mechanisms of Early Embryonic Development]]></dc:title>
    <dc:date>2011-03-24</dc:date>
	<dc:identifier>doi: 10.3390/genes2020298</dc:identifier>
    	<dc:creator>Lingyu Li</dc:creator>
		<dc:creator>Naihe Jing</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/1/280">
	<title><![CDATA[Genes, Vol. 2, Pages 280-297: The Role of the Leukemia Inhibitory Factor (LIF) — Pathway in Derivation and Maintenance of Murine Pluripotent Stem Cells]]></title>
	<link>http://www.mdpi.com/2073-4425/2/1/280</link>
	<description>Developmental biology, regenerative medicine and cancer biology are more and more interested in understanding the molecular mechanisms controlling pluripotency and self-renewal in stem cells. Pluripotency is maintained by a synergistic interplay between extrinsic stimuli and intrinsic circuitries, which allow sustainment of the undifferentiated and self-renewing state. Nevertheless, even though a lot of efforts have been made in the past years, the precise mechanisms regulating these processes remain unclear. One of the key extrinsic factors is leukemia inhibitory factor (LIF) that is largely used for the cultivation and derivation of mouse embryonic and induced pluripotent stem cells. LIF acts through the LIFR/gp130 receptor and activates STAT3, an important regulator of mouse embryonic stem cell self-renewal. STAT3 is known to inhibit differentiation into both mesoderm and endoderm lineages by preventing the activation of lineage-specific differentiation programs. However, LIF activates also parallel circuitries like the PI3K-pathway and the MEK/ERK-pathway, but its mechanisms of action remain to be better elucidated. This review article aims at summarizing the actual knowledge on the importance of LIF in the maintenance of pluripotency and self-renewal in embryonic and induced pluripotent stem cells.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-03-09</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2010280</prism:doi>
	<prism:startingPage>280</prism:startingPage>
		<prism:endingPage>297</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[The Role of the Leukemia Inhibitory Factor (LIF) — Pathway in Derivation and Maintenance of Murine Pluripotent Stem Cells]]></dc:title>
    <dc:date>2011-03-09</dc:date>
	<dc:identifier>doi: 10.3390/genes2010280</dc:identifier>
    	<dc:creator>Urs Graf</dc:creator>
		<dc:creator>Elisa A. Casanova</dc:creator>
		<dc:creator>Paolo Cinelli</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/1/260">
	<title><![CDATA[Genes, Vol. 2, Pages 260-279: NEK1 Facilitates Cohesin Removal during Mammalian Spermatogenesis]]></title>
	<link>http://www.mdpi.com/2073-4425/2/1/260</link>
	<description>Meiosis is a highly conserved process, which is stringently regulated in all organisms, from fungi through to humans. Two major events define meiosis in eukaryotes. The first is the pairing, or synapsis, of homologous chromosomes and the second is the exchange of genetic information in a process called meiotic recombination. Synapsis is mediated by the meiosis-specific synaptonemal complex structure in combination with the cohesins that tether sister chromatids together along chromosome arms through prophase I. Previously, we identified FKBP6 as a novel component of the mammalian synaptonemal complex. Further studies demonstrated an interaction between FKBP6 and the NIMA-related kinase-1, NEK1. To further investigate the role of NEK1 in mammalian meiosis, we have examined gametogenesis in the spontaneous mutant, Nek1kat2J. Homozygous mutant animals show decreased testis size, defects in testis morphology, and in cohesin removal at late prophase I of meiosis, causing complete male infertility. Cohesin protein SMC3 remains localized to the meiotic chromosome cores at diplonema in the Nek1 mutant, and also in the related Fkbp6 mutant, while in wild type cells SMC3 is removed from the cores at the end of prophase I and becomes more diffuse throughout the DAPI stained region of the nucleus. These data implicate NEK1 as a possible kinase involved in cohesin redistribution in murine spermatocytes.</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-03-07</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Article</prism:section>
	<prism:doi>10.3390/genes2010260</prism:doi>
	<prism:startingPage>260</prism:startingPage>
		<prism:endingPage>279</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[NEK1 Facilitates Cohesin Removal during Mammalian Spermatogenesis]]></dc:title>
    <dc:date>2011-03-07</dc:date>
	<dc:identifier>doi: 10.3390/genes2010260</dc:identifier>
    	<dc:creator>Kim Holloway</dc:creator>
		<dc:creator>Elle C. Roberson</dc:creator>
		<dc:creator>Kelly L. Corbett</dc:creator>
		<dc:creator>Nadine K. Kolas</dc:creator>
		<dc:creator>Edward Nieves</dc:creator>
		<dc:creator>Paula E. Cohen</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
        <item rdf:about="http://www.mdpi.com/2073-4425/2/1/229">
	<title><![CDATA[Genes, Vol. 2, Pages 229-259: The Function of E-Cadherin in Stem Cell Pluripotency and Self-Renewal]]></title>
	<link>http://www.mdpi.com/2073-4425/2/1/229</link>
	<description>E-cadherin; pluripotency; embryonic stem cell; induced pluripotent stem cell; iPS; ES; signaling pathways; Activin; Nodal</description>

	<prism:publicationName>Genes</prism:publicationName>
	<prism:publicationDate>2011-02-25</prism:publicationDate>
	<prism:volume>2</prism:volume>
	<prism:number>1</prism:number>
	<prism:section>Review</prism:section>
	<prism:doi>10.3390/genes2010229</prism:doi>
	<prism:startingPage>229</prism:startingPage>
		<prism:endingPage>259</prism:endingPage>
		<prism:issn>2073-4425</prism:issn>
	
	<dc:title><![CDATA[The Function of E-Cadherin in Stem Cell Pluripotency and Self-Renewal]]></dc:title>
    <dc:date>2011-02-25</dc:date>
	<dc:identifier>doi: 10.3390/genes2010229</dc:identifier>
    	<dc:creator>Francesca Soncin</dc:creator>
		<dc:creator>Christopher M. Ward</dc:creator>
	
	<cc:license rdf:resource="http://creativecommons.org/licenses/by/3.0/" />
</item>
    
<cc:License rdf:about="http://creativecommons.org/licenses/by/3.0/">
	<cc:permits rdf:resource="http://creativecommons.org/ns#Reproduction" />
	<cc:permits rdf:resource="http://creativecommons.org/ns#Distribution" />
	<cc:permits rdf:resource="http://creativecommons.org/ns#DerivativeWorks" />
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