- freely available
Biology 2013, 2(3), 861-871; doi:10.3390/biology2030861
Published: 28 June 2013
Abstract: MicroRNAs (miRNAs) are a class of small RNAs (18–22 nt) that post transcriptionally regulate gene expression by binding to complementary sequences on target mRNAs, resulting in translational repression or target degradation and gene silencing. As aberrant expression of miRNAs is implicated in important diseases including cancer miRNA-based therapies are under intensive investigation. We optimized strategies to stably or conditionally generate miRNA inhibitors for a continuous block of miRNA activity that allows for probing miRNA function in long-term cell culture experiments, cancer xenografts, 3D tissue models and for in vivo studies with transgenic organisms.
MicroRNAs (miRNAs, miRs) are a class of evolutionary conserved small (18–22 nt) non-coding RNAs. MiRs, discovered in 1993 in C. elegans, play a pivotal role in biological processes in normal development and disease in both plants and animals [1,2,3,4]. MiRs accomplish their functions by guiding the interaction of the RNA-induced silencing complex (RISC) to complementary or partially complementary sequences in target mRNAs, thereby regulating gene expression through translation inhibition or degradation of transcripts [5,6]. A miR can regulate multiple transcripts depending on the cell type, function and differentiation stage, and a single transcript can be regulated by more than one miR [7,8,9]. Inference of microRNA function usually cannot be derived exclusively through the prediction of their candidate targets. Even with the compilation of predicted targets and pathways the targets regulate, the functions of miRs need to be determined experimentally . To identify function, expression levels or activity of miRs are modulated to observe the effects on cells. A preferred approach is to inhibit miR activity rather than up-regulate miR expression, since the former may reveal the function of the miR at physiological levels in cells. As miRNA activity is dependent on the relative concentration of the miR and its targets, up regulating a miR at levels higher than physiological may result in repression of target mRNAs that normally would not be targeted in normal conditions .
Various approaches are utilized to inhibit microRNA activity in cells, the majority of which rely on short-term inhibition of miR activity based on the effects of transient delivery into cells of oligos with miR-blocking activity. Fewer strategies have been developed in which stable expression of sequences complementary to miRs act as microRNA inhibitors, designated as decoys, miR target (miRT) sequences, erasers and antagomirs [12,13,14,15,16]. Whether transient and stable, inhibition of miRNA activity is based on oligos that contain nucleotide sequences that are either perfectly antisense to or contain mismatches in the middle nucleotide-positions of microRNA binding sites. Use of mismatches in oligo design is preferable as this prevents Ago2-mediated endonucleolytic cleavage of the oligo itself [17,18,19].
Here we describe a robust method that we developed to generate highly efficient stable expressed miR-blocking transcripts in cells, that we call “miR-scavengers”. This method was designed to achieve sustainable microRNA blocking activity enabling the analysis of the effects of miR loss-of function in long-term studies both in vitro and in vivo. Our approach can also be adjusted for conditionally inducing microRNA blocking activity utilizing specific cell type or tetracycline-inducible promoters for miR-scavenger expression.
2. Results and Discussion
To obtain stable down-regulation or inhibition of microRNA activity, concatamers of 24 “capturing” units (complementary sequences of miRNAs) were designed as “miR scavengers” and cloned into a lentiviral vector according to the method outlined in Figure 1, and described in the Experimental Section (paragraphs from 3.1 to 3.6). As an example, we generated transcripts to block the activity of two unrelated microRNAs we call microRNA-EMT that induces a mesenchymal transition in mammary gland epithelial cells and microRNA-ESC that induces loss of mouse embryonic stem cell (mESC) morphology and pluripotency. We used as an EMT model the LA7 cells, rat mammary gland cancer cells that display stem cell (SC) features [20,21]. LA7 cells exhibit a cobblestone morphology (Figure 2 upper left panel) and express no or a very low levels of miR-EMT. Forced expression of miR-EMT results in a rapid change in LA7 cell morphology, recapitulating an epithelial to a mesenchymal-like transition (Figure 2, upper right panel). To verify the efficiency of miR-EMT scavenger transcripts in blocking the miR-EMT-activity, miR-EMT was simultaneously expressed with miR-EMT-scavenger transcripts in LA7 cells. Cells were transfected with double-stranded RNA oligos (miRIDIANTM microRNA Mimic, Dharmacon) that mimic miR-EMT activity and transduced with a lentivirus expressing the Green Fluorescent Protein (copGFP) and the “miR-EMT scavenger”. Transduction results in both GFP expression and transcription of the “miR-EMT scavenger”. As controls, LA7 cells were transduced with the lentivirus expressing copGFP only or copGFP and a scrambled (scr) miR-EMT sequence. Our results show that compared with control cells (Figure 2, upper left panel), LA7 cells transduced with “miR-EMT scavenger”, and transfected with miR-EMT Mimic oligos exhibit no change of cell morphology (bottom left panel) suggesting that the “miR-EMT scavenger” effectively inhibits the activity of the endogenous and exogenous miR-EMT. Following miR-EMT up regulation, the level of the expression of miR-EMT was determined to be about 10,000-fold higher (Figure 3, miR-EMT-Mim) than the endogenous level in the control cells (scr-Mim). The same level of miR-EMT was detected in LA7 cells transfected with miR-EMT Mimic oligos and transduced with a lentivirus expressing the “miR-EMT scavenger” (miR-EMT-Mim + “miR-EMT-scav”). Our results suggest that “miR-EMT scavengers” block miR activity by sequestering, rather than eliminating endogenous miR transcripts in cells. A slight up regulation of the miR-EMT transcript level was observed as a consequence of blocking the miR-EMT activity, mostly likely due to an induction of a feed-back regulatory loop that compensates the sequestering effects of scavenger transcripts (Figure 3). This effect is common within regulation networks involving miRNAs in mammalian cells [22,23,24,25,26]. Using a similar approach, we generated transcripts to block the activity of microRNA-ESC that induces loss of pluripotency of mouse embryonic stem cells (mESCs). Mouse ES cells exhibit a 3D morphology of tightly packed cells when grown on mouse embryonic fibroblast cells (Figure 2) and express no or very low levels of miR-mESC (data not shown). Forced expression of miR-mESC results in a rapid change in mESC morphology and colonies of monolayer of cells, and loss of pluriptoency marker Oct4 (data not shown). Mouse ESCs transduced with “miR-ESC scavenger”, and transfected with miR-ESC Mimic oligos exhibit no change of cell and colony morphology (bottom left panel) suggesting that the “miR-ESC scavenger” effectively inhibits the activity of the endogenous and exogenous miR-ESC.
3. Experimental Section
The protocol developed to generate “miR-scavengers” is summarized in Figure 1 using miR-21 as an example. The “miR-EMT scavenger” and “miR-mESC scavenger” transcripts were produced according to the following procedure.
3.1. Design of the Oligos
Sequence design for blocking miR activity is based on the following modifications of the mature miR sequence. In the mature miR sequence (Figure 1A), the 9th, 10th and 11th nucleotides from the 5' end are substituted with the corresponding complementary nucleotides and the 12th nucleotide is removed (Figure 1C). To obtain the “miR-capturing unit”, the reverse complement of the modified sequence is generated to contain a four nucleotide central mismatch to form a “bulge-like” structure, which prevents the cleavage by Ago2 (Figure 1D). A tandem sequence is generated with two “miR-capturing units” separated by a four-nucleotide spacer (TCAG). The reverse complement (BOT) of the tandem sequence (TOP) is used for making the double-stranded oligos (Figure 1E). The ends are made “sticky” at the 5' of both of the oligos by adding the nucleotides, GCATC to the “TOP” and GATGC to the “BOT” oligos, respectively (Figure 1F).
3.2. Concatemerization Step
The oligos designed as described above, are phosphorylated by a polynucleotide kinase (PKN) reaction before concatemerization. The 5' phosphorylated oligos at a concentration of 100 μM are mixed into a annealing reaction containing: 20 µL of TOP oligos, 20 µL of BOT oligos and 10 µL of 5× annealing buffer containing 50 mM Tris pH 7.5–8.0, 250 mM NaCl, 5 mM EDTA. Annealing of the oligos is performed at 95 °C for 4 minutes and room temperature for 15 minutes. The annealed oligos are then used for concatemerization, performed in a total volume of 20 µL with 2 μL of annealed oligos and 1 μL of T4 DNA ligase (400 U/µL) at 37 °C for 15 minutes, and then overnight at 16 °C. The ligation product is loaded on a 2.5% agarose gel. A smear of up to more than 1 Kb indicates a ligation reaction that is efficient (Figure 1G). A portion of the smear around 1 Kb is sliced from the gel and purified using NucleoSpin® Gel and PCR Clean-Up (Machery-Nagel, #740609).
3.3. Cloning of the Concatemerized miR Scavenger Sequence
Cloning is performed using a topo-isomerase based PCR-cloning approach. Concatemers are dephosphorylated with alkaline phosphatase and purified using NucleoSpin® Gel and PCR Clean-Up (Machery-Nagel, #740609). The concatemers are eluted into 15 μL and a “fill-in” reaction is performed to fill recessed 3' ends using Taq polymerase (Platinum® Taq DNA Polymerase, Life Technologies, #10966-018) at 72 °C for 10 minutes. For the terminal transferase activity of the Taq Polymerase used for the “fill-in” reaction, a 3' protruding adenosine is added which allows for the cloning with the TOPO® TA Cloning Kit (Life Technologies, #450641).
Colony PCR screening using M13 primers is performed in order to identify positive clones. The presence of concatemerized products and their orientation are confirmed by sequencing. The pCRII shuttle vector is used to clone the “miR-scavenger” sequence into the pCDH-CMV-MCS-EF1-copGFP construct (System Bioscience, # CD511B-1) using the In-Fusion™ Advantage PCR Cloning Kit (Clontech) with modified M13 primers.
3.4. Lentivirus Production
Lentiviral particles are produced in HEK-293T cells by transducing the pCDH-miR-Scavenger or empty pCDH vector together with the helper vectors psPAX2 and pMD2.G, in a ratio of 3:2:1 using the Lipofectamine™ 2000 Transfection Reagent (Life Technologies, #11668-019). The supernatant of the culture is harvested after 48 to 72 hours from transduction. Lentiviral particles are concentrated with the PEG-it™ Virus Precipitation Solution (System Biosciences, #LV810A-1) to obtain a high titer concentration.
3.5. Transduction of LA7 or mESC Cells
Since the construct used to generate the lentiviral particles express the Green Fluorescent Protein (GFP), lentiviral titration measurements can be performed with fluorescent activated cytometry to validate that most or all of cells express the “miR scavenger” transcript. We determined that cells transduced with a Multiplicity of Infection (MOI) 8 result in an almost 100% transduction efficiency. Transduction is performed essentially by adding the virus preparation directly to the culture medium that was supplemented with hexadimethrine bromide (Sigma, #H9268) at a final concentration of 8 μg/ml. To prevent cellular toxicity, the culture media is replaced after 20 hours.
3.6. Inhibition of Mimic Oligo miR Activity by the miR Scavengers
Up-regulation of miR was obtained by transfecting miRIDIAN™ microRNA MIMIC oligos (Dharmacon) into cells and then transducing the cells with a lentivirus expressing “miR scavenger” or GFP alone. Transfection was performed with the INTERFERin® transfection reagent (Polyplus Transfection).
We developed a method for inhibiting microRNA activity based on stable expression of miR-blocking transcripts, that we call “miR scavengers”. As examples, we demonstrated that stable expression of “miR-EMT or miR-mESC scavengers” inhibited the endogenous and exogenous activity of two different miRs. The cells lines used in this study are models of mammary gland stem cells and pluripotent embryonic stem cells. Our strategy to use “miR scavengers” that contain at least 24 “miR-capturing units” cloned into a lentiviral vector allows for robust quenching of miRNA activity, even in cells expressing high levels of miRs. We simulated this condition in our cell models by inducing high miRNA levels with synthetic oligos and proved that in both cases our “miR scavengers” block the endogenous and exogenous miR activity. Since a larger number of miR-blocking modules (20×) are contained in a single transcript, our method, compared to approaches that have few miRNA “capturing units” (from 6 to 10) is ideal for inhibiting the activity of highly expressed miRNAs in cells that therefore require a higher dosage of miR-scavenger . We obtain this high efficiency not with larger numbers of viral integrations into the genome of cells but with transcripts that contain a large number of miRNA capturing units. The utilization of transcripts with a larger number of “capturing units” reduces the possibility of undesired side effects normally observed with multiple viral integrations.
Since miRs are involved in normal physiological processes and their aberrant expression induces pathological effects in cells, the interest in their use in clinical applications is significant [29,30,31,32]. The intrinsic structure of these small molecules makes it possible to mimic or inhibit their activity for therapeutic strategies and to target a large spectrum of genes related by function or specific pathways. In particular miRs represent a promising field in cancer research and therapy and in regenerative medicine [33,34,35,36]. Lenti-viral expressing miR-scavengers offer the opportunity for investigations into long-term studies in vivo and represent a powerful tool to evaluate the role of a microRNA in mouse xenografts [20,21,37].
Bone marrow reconstitution represents another in vivo approach in which stable miR down-regulation leads to important insight into microRNA functions. In addition, hematopoietic stem cells stably down-regulating miR-223 phenocopy miR-223 knockout mouse . MiR-145 and miR-146a inhibition recapitulates 5q-myelodysplastic syndrome features  while miR-326 down regulation results in auto-immunity phenotype associated with multiple sclerosis . Moreover, the exact contribution of each single miR in the hematopoietic system development was demonstrated using miR-blocking transcripts, with different fluorescence reporters, stably expressed in hematopoietic stem cells used for bone marrow transplantation .
The next frontier for the application of this molecular tool, as demonstrated in Drosophila  is the generation of transgenic organism with spatio-temporal restricted expression of the miR-blocking transcript. In mouse model the “miR-scavenger” approach can be a valid alternative to miR genetic knockout. The ablation of miR genes, in fact, results in some cases in phenotypes linked to different miR functions in different tissues, while a tissue specific block of a specific miR activity, should unveil more precisely its function. First results in this direction demonstrate the effectiveness of this approach in comparison with the genetic knockout [41,42].
Grant support to IZ: the N.O.B.E.L. Grant and Cariplo-Progetti-Internazionali grant n. 2008–2015 from Fondazione CARIPLO; the MIUR-FIRB grants RBAP11BYNP and RBAP11Z4Z9; The Italy-USA Project Cancer Pharmacogenomics, Grant n. 527B-B7. We like to acknowledge the assistance of Hans R. Schöler (Max Planck Institute for Biomedicine, Muenster, Germany) and thank him for providing the mESCs .
Conflict of Interest
The authors declare no conflict of interest.
- Lee, R.C.; Feinbaum, R.L.; Ambros, V. The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell 1993, 75, 843–854, doi:10.1016/0092-8674(93)90529-Y.
- He, L.; Hannon, G.J. MicroRNAs: Small RNAs with a big role in gene regulation. Nat. Rev. Genet. 2004, 5, 522–531, doi:10.1038/nrg1379.
- Bushati, N.; Cohen, S.M. MicroRNA functions. Annu. Rev. Cell Dev. Biol. 2007, 23, 175–205, doi:10.1146/annurev.cellbio.23.090506.123406.
- Bartel, D.P. MicroRNAs: Target recognition and regulatory functions. Cell 2009, 136, 215–233, doi:10.1016/j.cell.2009.01.002.
- Bartel, D.P. MicroRNAs: Genomics, biogenesis, mechanism, and function. Cell 2004, 116, 281–297, doi:10.1016/S0092-8674(04)00045-5.
- Winter, J.; Jung, S.; Keller, S.; Gregory, R.I.; Diederichs, S. Many roads to maturity: microRNA biogenesis pathways and their regulation. Nat. Cell Biol. 2009, 11, 228–234, doi:10.1038/ncb0309-228.
- Baek, D.; Villén, J.; Shin, C.; Camargo, F.D.; Gygi, S.P.; Bartel, D.P. The impact of microRNAs on protein output. Nature 2008, 455, 64–71, doi:10.1038/nature07242.
- Selbach, M.; Schwanhäusser, B.; Thierfelder, N.; Fang, Z.; Khanin, R.; Rajewsky, N. Widespread changes in protein synthesis induced by microRNAs. Nature 2008, 455, 58–63, doi:10.1038/nature07228.
- Friedman, R.C.; Farh, K.K.; Burge, C.B.; Bartel, D.P. Most mammalian mRNAs are conserved targets of microRNAs. Genome Res. 2009, 19, 92–105.
- Tsang, J.S.; Ebert, M.S.; van Oudenaarden, A. Genome-wide dissection of microRNA functions and cotargeting networks using gene set signatures. Mol. Cell 2010, 38, 140–153, doi:10.1016/j.molcel.2010.03.007.
- Mukherji, S.; Ebert, M.S.; Zheng, G.X.; Tsang, J.S.; Sharp, P.A.; van Oudenaarden, A. MicroRNAs can generate thresholds in target gene expression. Nat. Genet. 2011, 43, 854–859.
- Franco-Zorrilla, J.M.; Valli, A.; Todesco, M.; Mateos, I.; Puga, M.I.; Rubio-Somoza, I.; Leyva, A.; Weigel, D.; García, J.A.; Paz-Ares, J. Target mimicry provides a new mechanism for regulation of microRNA activity. Nat. Genet. 2007, 39, 1033–1037.
- Carè, A.; Catalucci, D.; Felicetti, F.; Bonci, D.; Addario, A.; Gallo, P.; Bang, M.L.; Segnalini, P.; Gu, Y.; Dalton, N.D.; et al. MicroRNA-133 controls cardiac hypertrophy. Nat. Med. 2007, 13, 613–618, doi:10.1038/nm1582.
- Gentner, B.; Schira, G.; Giustacchini, A.; Amendola, M.; Brown, B.D.; Ponzoni, M.; Naldini, L. Stable knockdown of microRNA in vivo by lentiviral vectors. Nat. Methods 2009, 6, 63–66, doi:10.1038/nmeth.1277.
- Sayed, D.; Rane, S.; Lypowy, J.; He, M.; Chen, I.Y.; Vashistha, H.; Yan, L.; Malhotra, A.; Vatner, D.; Abdellatif, M. MicroRNA-21 targets Sprouty2 and promotes cellular outgrowths. Mol. Biol. Cell 2008, 19, 3272–3282, doi:10.1091/mbc.E08-02-0159.
- Scherr, M.; Venturini, L.; Battmer, K.; Schaller-Schoenitz, M.; Schaefer, D.; Dallmann, I.; Ganser, A.; Eder, M. Lentivirus-mediated antagomir expression for specific inhibition of miRNA function. Nucleic Acids Res. 2007, 35, e149, doi:10.1093/nar/gkm971.
- Haraguchi, T.; Ozaki, Y.; Iba, H. Vectors expressing efficient RNA decoys achieve the long-term suppression of specific microRNA activity in mammalian cells. Nucleic Acids Res. 2009, 37, e43, doi:10.1093/nar/gkp040.
- Papapetrou, E.P.; Korkola, J.E.; Sadelain, M. A genetic strategy for single and combinatorial analysis of miRNA function in mammalian hematopoietic stem cells. Stem Cells 2010, 28, 287–296.
- Huang, J.; Zhao, L.; Xing, L.; Chen, D. MicroRNA-204 regulates Runx2 protein expression and mesenchymal progenitor cell differentiation. Stem Cells 2010, 28, 357–364.
- Zucchi, I.; Sanzone, S.; Astigiano, S.; Pelucchi, P.; Scotti, M.; Valsecchi, V.; Barbieri, O.; Bertoli, G.; Albertini, A.; Reinbold, R.A.; et al. The properties of a mammary gland cancer stem cell. Proc. Natl. Acad. Sci. USA 2007, 104, 10476–10481.
- Zucchi, I.; Astigiano, S.; Bertalot, G.; Sanzone, S.; Cocola, C.; Pelucchi, P.; Bertoli, G.; Stehling, M.; Barbieri, O.; Albertini, A.; et al. Distinct populations of tumor-initiating cells derived from a tumor generated by rat mammary cancer stem cells. Proc. Natl. Acad. Sci. USA 2008, 105, 16940–16945, doi:10.1073/pnas.0808978105.
- Tsang, J.; Zhu, J.; van Oudenaarden, A. MicroRNA-mediated feedback and feedforward loops are recurrent network motifs in mammals. Mol. Cell 2007, 26, 753–767, doi:10.1016/j.molcel.2007.05.018.
- Bracken, C.P.; Gregory, P.A.; Kolesnikoff, N.; Bert, A.G.; Wang, J.; Shannon, M.F.; Goodall, G.J. A double-negative feedback loop between ZEB1-SIP1 and the microRNA-200 family regulates epithelial-mesenchymal transition. Cancer Res. 2008, 68, 7846–7854, doi:10.1158/0008-5472.CAN-08-1942.
- Leone, V.; D’Angelo, D.; Ferraro, A.; Pallante, P.; Rubio, I.; Santoro, M.; Croce, C.M.; Fusco, A. A TSH-CREB1-microRNA loop is required for thyroid cell growth. Mol. Endocrinol. 2011, 25, 1819–1830, doi:10.1210/me.2011-0014.
- Li, Y.; Li, Y.; Zhang, H.; Chen, Y. MicroRNA-mediated positive feedback loop and optimized bistable switch in a cancer network Involving miR-17-92. PLoS One 2011, 6, e26302.
- Johnston, R.J., Jr.; Chang, S.; Etchberger, J.F.; Ortiz, C.O.; Hobert, O. MicroRNAs acting in a double-negative feedback loop to control a neuronal cell fate decision. Proc. Natl. Acad. Sci. USA 2005, 102, 12449–12454.
- miRBase: The microRNA Database. Available online: http://www.mirbase.org/ (accessed on 23 May 2013).
- Arvey, A.; Larsson, E.; Sander, C.; Leslie, C.S.; Marks, D.S. Target mRNA abundance dilutes microRNA and siRNA activity. Mol. Syst. Biol. 2010, 6, 363.
- Ghelani, H.S.; Rachchh, M.A.; Gokani, R.H. MicroRNAs as newer therapeutic targets: A big hope from a tiny player. J. Pharmacol. Pharmacother. 2012, 3, 217–227.
- Lindow, M.; Kauppinen, S. Discovering the first microRNA-targeted drug. J. Cell Biol. 2012, 199, 407–412.
- Alvarez, M.L.; Distefano, J.K. Towards microRNA-based therapeutics for diabetic nephropathy. Diabetologia 2013, 56, 444–456, doi:10.1007/s00125-012-2768-x.
- Nikaki, A.; Piperi, C.; Papavassiliou, A.G. Role of microRNAs in gliomagenesis: Targeting miRNAs in glioblastoma multiforme therapy. Exp. Opin. Invest. Drugs 2012, 21, 1475–1488.
- Esquela-Kerscher, A.; Slack, F.J. Oncomirs—microRNAs with a role in cancer. Nat. Rev. Cancer 2006, 6, 259–269.
- Singh, R.; Mo, Y.Y. Role of microRNAs in breast cancer. Cancer Biol. Ther. 2013, 14, 201–212.
- Cho, W.C. Exploiting the therapeutic potential of microRNAs in human cancer. Expert Opin. Ther. Targets 2012, 16, 345–350.
- Nana-Sinkam, S.P.; Croce, C.M. Clinical applications for microRNAs in cancer. Clin. Pharmacol. Ther. 2013, 93, 98–104.
- Bonci, D.; Coppola, V.; Musumeci, M.; Addario, A.; Giuffrida, R.; Memeo, L.; D’Urso, L.; Pagliuca, A.; Biffoni, M.; Labbaye, C.; et al. The miR-15a-miR-16-1 cluster controls prostate cancer by targeting multiple oncogenic activities. Nat. Med. 2008, 14, 1271–1277.
- Starczynowski, D.T.; Kuchenbauer, F.; Argiropoulos, B.; Sung, S.; Morin, R.; Muranyi, A.; Hirst, M.; Hogge, D.; Marra, M.; Wells, R.A.; et al. Identification of miR-145 and miR-146a as mediators of the 5q- syndrome phenotype. Nat. Med. 2010, 16, 49–58.
- Du, C.; Liu, C.; Kang, J.; Zhao, G.; Ye, Z.; Huang, S.; Li, Z.; Wu, Z.; Pei, G. MicroRNA miR-326 regulates TH-17 differentiation and is associated with the pathogenesis of multiple sclerosis. Nat. Immunol. 2009, 10, 1252–1259, doi:10.1038/ni.1798.
- Loya, C.M.; Lu, C.S.; van Vactor, D.; Fulga, T.A. Transgenic microRNA inhibition with spatiotemporal specificity in intact organisms. Nat. Methods 2009, 6, 897–903.
- Klein, U.; Lia, M.; Crespo, M.; Siegel, R.; Shen, Q.; Mo, T.; Ambesi-Impiombato, A.; Califano, A.; Migliazza, A.; Bhagat, G.; et al. The DLEU2/miR-15a/16-1 cluster controls B cell proliferation and its deletion leads to chronic lymphocytic leukemia. Cancer Cell 2010, 17, 28–40.
- Rasmussen, K.D.; Simmini, S.; Abreu-Goodger, C.; Bartonicek, N.; di Giacomo, M.; Bilbao-Cortes, D.; Horos, R.; von Lindern, M.; Enright, A.J.; O’Carroll, D. The miR-144/451 locus is required for erythroid homeostasis. J. Exp. Med. 2010, 207, 1351–1358.
- Hübner, K.; Fuhrmann, G.; Christenson, L.K.; Kehler, J.; Reinbold, R.; de la Fuente, R.; Wood, J.; Strauss, J.F., III; Boiani, M.; Schöler, H.R. Derivation of oocytes from mouse embryonic stem cells. Science 2003, 300, 1251–1256.
© 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).