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Review

Regulation of Cardiac Cell Fate by microRNAs: Implications for Heart Regeneration

by
Margarida Gama-Carvalho
1,*,
Jorge Andrade
1 and
Luis Brás-Rosário
2
1
Center for Biodiversity, Functional and Integrative Genomics, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal
2
Centro de Cardiologia da Universidade de Lisboa, Faculdade de Medicina de Lisboa, 1649-035 Lisboa, Portugal
*
Author to whom correspondence should be addressed.
Cells 2014, 3(4), 996-1026; https://doi.org/10.3390/cells3040996
Submission received: 22 July 2014 / Revised: 29 September 2014 / Accepted: 10 October 2014 / Published: 29 October 2014
(This article belongs to the Special Issue MicroRNAs in Cardiovascular Biology and Disease)

Abstract

:
microRNAs are post-transcriptional regulators of gene expression that have been shown to be central players in the establishment of cellular programs, often acting as switches that control the choice between proliferation and differentiation during development and in adult tissues. The heart develops from two small patches of cells in the mesoderm, the heart fields, which originate the different cardiac cell types, including cardiomyocytes, vascular smooth muscle and endothelial cells. These progenitors proliferate and differentiate to establish a highly connected three-dimensional structure, involving a robust succession of gene expression programs strongly influenced by microRNAs. Although the mammalian heart has conventionally been viewed as a post-mitotic organ, cardiac cells have recently been shown to display some regenerative potential, which is nonetheless insufficient to regenerate heart lesions, in contrast with other vertebrates like the zebrafish. Both the proliferation of adult cardiac stem cells and the ability of cardiomyocytes to re-enter the cell cycle have been proposed to sustain these regenerative processes. Here we review the role of microRNAs in the control of stem cell and cardiomyocyte dependent cardiac regeneration processes, and discuss potential applications for the treatment of cardiac injury.

1. Introduction

The recent emergence of new sequencing technologies has significantly changed our understanding of the organization of eukaryotic genomes, providing exciting insights into the role of non-coding (nc) DNA sequences. Previously known as “junk DNA” [1], these ubiquitous entities are now acknowledged to play critical roles in the regulation of gene expression and, not surprisingly, there is increasing evidence that directly correlates their relative abundance to the complexity of higher organisms [2,3,4,5]. It is now clear that over 90% of the human genome is transcribed generating a wide variety of non-coding transcripts (around 9.000 small-ncRNAs, 10.000-32.000 long-ncRNAs and about 11.000 pseudogenes [6,7]) that vastly exceed the number of coding transcripts (21.000 coding genes). The relevance of the non-coding transcriptome in the complex regulatory networks that contribute to tissue homeostasis and organismal complexity is becoming increasingly apparent. Several studies have uncovered critical roles of the ncRNome since they act as master regulators of cell fate and function at all levels, from epigenetic control to mRNA translation and cell-to-cell communication. Non-coding transcripts can be classified into two major classes based on their relative size. Among the small non-coding RNAs, microRNAs (miRNAs or miRs), a class of 21 to 24 nucleotide (nt) long ncRNAs, stand out as one of the best characterized families, with the current count for the human genome standing at 2588 mature miRs in the latest version of miRbase (v21) [8]. It is likely that the known diversity of this family will continue to increase, as attested by the recently reported discovery of 2469 novel human miRNA candidates [9], although for a vast majority of annotated miRNAs their functional relevance remains unclear. Nevertheless, this repertoire is believed to greatly enhance the complexity of the regulatory layers that control temporal and spatial gene expression.
Like many other organismal processes, mammalian heart development and homeostasis have been increasingly shown to be tightly regulated by miRNAs. However, unlike other mammalian organs or the heart of lower vertebrates, the mammalian heart displays very little regenerative abilities. Cardiac dysfunction resulting from myocardium cell death, as in aging or myocardial infarction, is therefore a major health problem in urgent need of new therapeutic solutions. During the past decade, several studies have come to suggest that the potential for cardiac regeneration may still be present, albeit silenced, in the mammalian heart [10,11,12]. Therefore, novel insights into the role of the tiny molecular switches that can play determinant roles in cardiac cell proliferation and differentiation are of great relevance, not only to complement the current understanding of heart biology, but also to open new windows for the development of innovative strategies to treat several cardiac-related pathologies.
In this review, we will focus on the role of miRNAs as master regulators of cardiac development, cell fate and proliferation and discuss how recent advances in our understanding of the heart’s structure and function as well as novel discoveries in the field of cell fate reprogramming are bringing these small molecules to the forefront of regenerative therapies for heart injury. A related field with high potential for cardiac repair – cell therapy involving the transplantation and in situ differentiation of stem cells [13,14]—in which miRNAs play a relevant role as modulators of both pluripotency and differentiation [15], will not be discussed here in detail.

2. Regulatory Programs Underlying Heart Development

Organ formation involves the sequential deployment of gene regulatory events that define cell fate by influencing proliferation and differentiation, while determining their physical arrangement into well-defined structures. The underlying regulatory programs need to coordinate the multiple dimensions of the process by defining the appropriate timing, spatial organization and feedback controls that are required to ensure the canalization of developmental processes. During the past decade, a significant progress in our understanding of evolutionary, developmental and genetic processes coordinating mammalian heart development has been achieved. More recently, microRNAs have been shown to be an integral part of these regulatory layers, thereby acting as key regulators of organ development.

2.1. Transcriptional Networks in Embryonic Heart Development

The development of the mammalian heart is a relatively well-characterized paradigm of the establishment of such regulatory programs. Although often misconstrued as a simple muscular pump, the heart is in fact a complex organ in which several cell types—including cardiac and smooth muscle, endothelial and pacemaker cells—are integrated into a highly interconnected three-dimensional structure. A decade of studies has unraveled to significant detail the transcriptional networks that control heart development, with particular emphasis on the mechanisms underlying skeletal myogenesis. The current model identifies a primordial core of myogenic transcription factors—MEF2 and NK2—that became involved in the regulation of muscle-specific gene expression early during the evolution of animals (reviewed by [16]). With the appearance of the bilateria, these genes became integrated in a cardiogenic network with additional transcription factors—GATA, Tbx, and Hand—that evolved to regulate both cardiogenic differentiation, including the expression of contractile proteins, and the morphogenesis of simple cardiac structures [16]. The appearance of a multi-chambered, asymmetric heart was marked by duplications and specializations of several of these genes, in association with the appearance of complex morphogenetic patterns that lead to the formation of the organ during development. For example, the two ancestral GATA genes present in the bilateria (GATA1/2/3 and GATA4/5/6) gave rise to a total of six genes (GATA1 to 6) as a consequence of the genome duplication events that occurred during vertebrate evolution [17]. Of these, GATA4, GATA5 and GATA6 have been shown to the be expressed in the heart and to be implicated in heart development [16]. Of note, the evolutionary retention of all these paralogous genes is quite remarkable, as a comparative study between the amphioxus and the human genome suggests that only about ¼ of the human genes correspond to duplicated genes, with a much smaller fraction showing the retention of multiple paralogs [18]. Therefore, the expansion of the cardiogenic transcriptional machinery must have been supported by a strong evolutionary pressure, likely related to its critical role in the development of an increasingly complex heart. By week 8 of human development, this highly coordinated morphogenetic program will have lead to the establishment of the basic heart structure. During the period of time that follows until birth, heart development will focus on an unparalleled increase in size. In humans, this means the heart will become roughly 10000× larger than its mouse counterpart, involving a much longer developmental time frame (several weeks, compared to 48h). Recent studies suggest that this is achieved by a ‘stem cell’ based mechanism rather than by division of differentiated cell types [19,20].

2.2. A Stem Cell Model for Heart Development

The pluripotent stem cell paradigm for heart development has been established from multiple lines of evidence. Lineage tracing in developmental models have clearly shown that the myocardium, with all its different cell types, is formed primarily from two patches of mesoderm present in the early embryo, termed the first and second heart fields (FHF and SHF), which deploy slightly different gene expression programs during development (reviewed by [20]). Cells from the SHF will contribute to over 70% of the myocardium, whereas the FHF is the only source of cells for the left ventricle (see below). Two additional embryonic regions, the cardiac neural crest and the proepicardium have also been shown to provide smaller contributions to the heart structure. The first gives rise to the vascular smooth muscle of the aortic arch, ductus arteriosus and the great vessels and essential components of the cardiac autonomic nervous system, while the second generates the epicardium tissue that surrounds the heart and contributes to the coronary vasculature, as well as providing an additional source for cardiomyocytes [21].
Figure 1. A stem cell model for heart development. The heart is composed of different cell types that are generated from multipotent cardiac progenitors. Expression of the LIM-homeodomain transcription factor Islet-1 (Isl-1+) is a hallmark of these cardiac progenitors. The diversification of heart cell lineages is acknowledged to be controlled by several miRNAs.
Figure 1. A stem cell model for heart development. The heart is composed of different cell types that are generated from multipotent cardiac progenitors. Expression of the LIM-homeodomain transcription factor Islet-1 (Isl-1+) is a hallmark of these cardiac progenitors. The diversification of heart cell lineages is acknowledged to be controlled by several miRNAs.
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Although the full details of the specification of cellular lineages that compose the heart remain to be worked out, several lines of evidence support the view that the process follows the same logic as the development of the hematopoietic system, in which a multipotent progenitor gives rise to the different specialized cell types through successive steps of lineage commitment (Figure 1). The expression of different transcriptional activators and downstream target genes along this differentiation series highlights the underlying regulatory programs that contribute to cardiac cell fate decisions [20]. Interestingly, the past few years have revealed that miRNAs (and other non-coding RNAs) are highly integrated into these regulatory programs, contributing to the definition of cardiac cell fate as well as to all other dimensions of heart development and function.

2.3. Postnatal Heart Development

After birth a significant reorganization of mammalian heart structure will take place as an adaptation to the changes in blood circulation and functional requirements for adult heart function. This reorganization involves macroscopic alterations in the heart structure and at the same time a significant remodeling of cardiomyocyte gene expression programs, leading to a transition from fetal to adult genes and protein isoforms that affects cell structures and functions as diverse as contractile fibers and energy producing pathways. This switch occurs concomitant with the almost complete cessation of cellular proliferation [22,23]. Accordingly, the mammalian heart loses most of its regenerative capacities not long after birth, dealing with stress and damage mostly through hypertrophy of pre-existing cardiomyocytes, fibroblast accumulation and scarring. Interestingly, while these responses seem to involve the re-enactment of parts of the fetal heart program they often result severe contractile dysfunction, to the point of heart failure. The regulatory mechanisms underlying the fetal to adult switch and conversely the switch to fetal expression profiles upon injury, are only beginning to be understood, but are of extreme importance for understanding the mechanisms that control heart regeneration and response to injury. As with other aspects of heart development, these switches have been recently shown to be under the influence of miRNAs. Understanding the mechanisms of biogenesis and mode of action of these molecules is therefore critical to an in-depth knowledge of many of the molecular events underlying cardiac function and repair.

3. microRNAs: from Biogenesis to Post-Transcriptional Control of Gene Expression

miRNA biogenesis is acknowledged to be regulated either at transcriptional [24] or post-transcriptional level [25]. During the past few years, significant progress was made regarding the systematic identification of miRNA genes, understanding of their organization and of the biogenesis mechanisms required for their synthesis and basic modes of action. It is, however, clear that many of these processes are only understood in a relatively superficial manner, and the diversity of mechanisms that have increasingly been discovered suggests that there is still much to be learnt about these small molecules.

3.1. microRNA Gene Structure

Figure 2. Overview of the miRNA biogenesis pathway. miRNA genes are transcribed in the nucleus by RNA Pol II as long pri-miRNA transcripts that are 5′ capped and 3′ polyadenylated. The pri-miRNA sequence folds into a hairpin loops structure that is recognized and processed by the Microprocessor complex Drosha-DGCR8, generating a pre-microRNA. Mirtrons, a class of unconventional miRNAs, are encoded in small introns and do not require Drosha processing. The intron lariat excised by the spliceosome is refolded into a pre-miRNA hairpin loop. The pre-miRNA is exported from the nucleus to the cytoplasm by exportin 5 (XPO5), where is further cropped by Dicer in complex with TRBP, yielding a ~22 nt double-stranded RNA called miRNA/miRNA* duplex. The functional mature miRNA is loaded together with Argonaute proteins into the RISC complex, guiding RISC to silence a target mRNA through translational repression or deadenylation. The biogenesis pathway of miRNAs are post-transcriptionally controlled by RNA editing. A-to-I editing of the miRNA’s precursors, a reaction catalyzed by ADAR enzymes, can block Drosha and Dicer processing, and thereby regulates the availability of mature miRNA in the cell. Competing endogenous RNAs (ceRNAs) can regulate mRNA expression levels by competing for shared miRNA binding sites.
Figure 2. Overview of the miRNA biogenesis pathway. miRNA genes are transcribed in the nucleus by RNA Pol II as long pri-miRNA transcripts that are 5′ capped and 3′ polyadenylated. The pri-miRNA sequence folds into a hairpin loops structure that is recognized and processed by the Microprocessor complex Drosha-DGCR8, generating a pre-microRNA. Mirtrons, a class of unconventional miRNAs, are encoded in small introns and do not require Drosha processing. The intron lariat excised by the spliceosome is refolded into a pre-miRNA hairpin loop. The pre-miRNA is exported from the nucleus to the cytoplasm by exportin 5 (XPO5), where is further cropped by Dicer in complex with TRBP, yielding a ~22 nt double-stranded RNA called miRNA/miRNA* duplex. The functional mature miRNA is loaded together with Argonaute proteins into the RISC complex, guiding RISC to silence a target mRNA through translational repression or deadenylation. The biogenesis pathway of miRNAs are post-transcriptionally controlled by RNA editing. A-to-I editing of the miRNA’s precursors, a reaction catalyzed by ADAR enzymes, can block Drosha and Dicer processing, and thereby regulates the availability of mature miRNA in the cell. Competing endogenous RNAs (ceRNAs) can regulate mRNA expression levels by competing for shared miRNA binding sites.
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With very few exceptions [26,27], miRNA genes are initially transcribed in the nucleus by the RNA polymerase II as long 5′-capped and Poly-A tailed pri-miRNA precursors, which fold into hairpin structures that are recognized by the miRNA biogenesis machinery (Figure 1) [28,29]. Based on their genomic localization, pri-miRNAs can be transcribed either from intergenic or intragenic genomic environments. The majority of mammalian miRNA genes are located either in introns of protein-coding genes or as independent non-coding transcriptional units (TUs) [30]. Within both groups, some miRs are organized into clusters transcribed as polycistronic TUs (ranging from 2 to 19 miRNA hairpins in tandem) that, upon processing by the miRNA biogenesis machinery generate multiple mature miRNAs (Figure 2A). Although initially believed to be co-transcribed and co-expressed with their host genes under the transcriptional control of the host gene promoter [30], several studies indicate that some intronic miRNA genes may not follow this rule, relying on an additional layer of transcriptional control by their own independent promoters [31,32]. A subset of intronic miRNA genes that are transcribed in an anti-sense orientation with respect to their host gene were also found to have specific cis-regulatory elements and thus not to depend directly on host gene expression [33,34]. Despite the complexity involving the identification of miRNA genes promoters and putative transcription factors binding sites [35], independent intronic promoters are acknowledged to be an important functional feature that allows miRNA expression levels to be controlled in a tissue- or development-specific fashion [36]. Furthermore, intronic miRs do not seem to depend on splicing of their host intron for removal [37].

3.2. The microRNA Biogenesis Machinery

Upon transcription, pri-miRNAs are submitted to two sequential processing events that trim the transcript in order to yield a mature miRNA. Within the nucleus, pri-miRNAs are cropped into a 60–100nt hairpin-structured precursor (the pre-miRNA) by a multiprotein Microprocessor complex that includes the RNAase III Drosha and the DGCR8 (DiGeorge syndrome Critical Region 8) protein, as well as several auxiliary cofactors that coordinate activity and specificity of Drosha cleavage (for review see [25]). Binding of DGCR8 to the pri-miRNA allows precise positioning and orientation of Drosha’s catalytic center ~11nt upstream of the stem-loop, in order to generate a double-stranded pre-miRNA with a 2 nt 3' overhang [38]. After nuclear processing, the pre-miRNA is exported to the cytoplasm by Exportin-5 (XPO5) via a RAN-GTP dependent mechanism [39,40]. Efficient recognition by XPO5, defined not only by the length of the double stranded stem but also by the 3'overhangs, protects pre-miRs from degradation, allowing exporting of only correctly processed miRNA precursors [41,42]. In the cytoplasm, the pre-miRNA is further cleaved near the terminal loop by Dicer, another RNAse III enzyme that, together with TAR RNA binding protein (TRBP), protein kinase RNA activator (PACT) and Argonaute (Ago) proteins, forms the RNA induced silencing complex (RISC) [43,44,45]. Dicer is considered to act as a molecular ruler, cleaving the pre-miRNA at a specific distance from the ends produced by Drosha and generating a ~22nt double-stranded miRNA duplex (miR/miR*) with a 2 nt 3' overhang (Figure 2). The RISC complex incorporates one of the strands of the diced miRNA duplex, generally the one with the lowest base-pairing stability at the 5' end, while the other strand, originally termed miR*, is degraded. There are however many instances where both strands can be found as part of miR-RISC complexes, albeit at different frequencies (which may be as high as 100:1) [46]. In this case, the two miRNA strands arising from the same precursor are termed -5p or -3p, depending on their relative position in the hairpin sequence (Figure 3B).
Figure 3. miRNA genomic organization and pre-miRNA hairpin loop features. (A) Mammalian miRNA genes are encoded in defined transcription units (TUs) that based on their genomic localization can be classified into three major groups: (i) intronic miRNA genes in protein-coding genes; (ii) intergenic miRNA genes; (iii) intronic miRNA genes in non-coding TUs. miRNA genes can be clustered in a single polycistronic transcript that can be processed in order to generate two or more mature miRNAs. Some miRNA genes are located within TUs with the same transcription orientation as the host gene, whereas others can be transcribed in the anti-sense orientation. (B) miRNA precursors fold into a hairpin loop structure that is sequentially processed. Drosha cleaves the pri-miRNA at the base of the stem-loop, generating a pre-miRNA (~70 nt long) precursor that is further processed by Dicer in order to produce a miRNA double-stranded duplex (~22 nt). Both Drosha and Dicer processing generates a characteristic 2 nt 3'overhang. Depending on the relative localization in the hairpin-loop, the mature miRNA can be termed -5p or -3p.
Figure 3. miRNA genomic organization and pre-miRNA hairpin loop features. (A) Mammalian miRNA genes are encoded in defined transcription units (TUs) that based on their genomic localization can be classified into three major groups: (i) intronic miRNA genes in protein-coding genes; (ii) intergenic miRNA genes; (iii) intronic miRNA genes in non-coding TUs. miRNA genes can be clustered in a single polycistronic transcript that can be processed in order to generate two or more mature miRNAs. Some miRNA genes are located within TUs with the same transcription orientation as the host gene, whereas others can be transcribed in the anti-sense orientation. (B) miRNA precursors fold into a hairpin loop structure that is sequentially processed. Drosha cleaves the pri-miRNA at the base of the stem-loop, generating a pre-miRNA (~70 nt long) precursor that is further processed by Dicer in order to produce a miRNA double-stranded duplex (~22 nt). Both Drosha and Dicer processing generates a characteristic 2 nt 3'overhang. Depending on the relative localization in the hairpin-loop, the mature miRNA can be termed -5p or -3p.
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Although the vast majority of miRs follow the canonical biogenesis pathway, a small subset has been shown to bypass some steps. Mirtrons, a group of unconventional miRs, are processed by the spliceosome and do not rely on Drosha to generate pre-miRNA precursors [47]. There are also mirtron-like splicing-independent miRNAs, termed simtrons, which are processed by Drosha and do not require DGCR8 nor Dicer for their biogenesis [48]. Additionally, processing of some small nucleolar RNAs (snoRNAs), transfer RNAs (tRNAs) and endogenous short hairpin RNAs (shRNAs) is also reported to generate miRNA-like molecules that are independent of the Microprocessor complex [49,50,51].
Regulation of miRNA biogenesis is also reported to be post-transcriptionally controlled through RNA editing of miRNA transcripts by Adenosine Deaminases that act on RNA (ADARs). These enzymes catalyze the conversion of adenosine (A) into inosine (I). A-to-I editing of some miRNA precursors not only controls several steps of the biogenesis pathway, from blocking Drosha-DGCR8 cleavage to inhibition of the Dicer-TRBP complex, but may also redirect mRNA target recognition [52,53,54,55,56]. However, a recent report shows that ADAR1 and Dicer directly interact in protein-protein complexes that, independently of the deaminase activity, promote pre-miRNA cleavage by Dicer and facilitate miRNA loading into the RISC [57]. Although many questions remain to be answered, RNA editing is currently acknowledged as an effective post-transcriptional mechanism that regulates miRNA biogenesis and activity.

3.3. microRNA Modes of Action

The mature miRNA incorporated into RISC interacts with the mRNA through Watson-Crick complementary base-pairing that most frequently occurs at the 3' UTR, although some can bind the 5' UTR [58]. The mRNA-miRNA base-pairing interaction is primarily determined by the so called ‘seed-sequence’, a 7 nt stretch located at positions 2 to 8 of the mature miRNA. Target cleavage is generally associated with full complementarity with the full miRNA sequence, a rarely observed event in animals, where miRNA target sites are generally classified into two categories: 5' dominant, which base-pair precisely with the seed with or without additional involvement of 3' nucleotides; and 3' compensatory sites, in which the base pairing of 3' miRNA nucleotides is required to compensate for insufficient seed complementarity [46]. miRs that share the same seed sequence are often defined as a ‘family’. In many cases, these miRNAs arise from paralogous genes. Examples include the let-7 family, which contains the first miRNA to ever be described [59] or the miR-1/133 and miR-15 families.
Binding of the RISC complex to a mRNA generally results in a down regulation of target gene expression, either through ‘dicing’ of the mRNA (endonucleolytic cleavage), which is relatively rare in animals, or translation inhibition and degradation through decapping and deadenylation [60]. Translation inhibition may occur in a reversible fashion, often associated to the accumulation of the mRNA-miRNA-RISC complex in cellular structures termed P-bodies [46]. Quantitative proteomic analysis suggests that although in some cases target mRNA translation can be repressed without detectable changes in mRNA levels, most mRNAs displaying strong (i.e., over 30%) reduction in protein levels also display detectable mRNA destabilization [61,62]. The mechanistic details and relative contribution of each process to gene silencing by miRs has been the object of intensive investigation, but several critical aspects remain to be resolved (reviewed by [60,63]). In spite of the undisputed relevance of the seed sequence in determining the miR-mRNA base pairing interaction, a recent report suggests that imperfect centered binding sites may be both common and functional in human cells [64]. The ability of a miRNA to interact with a target sequence is further influenced by the secondary structure of the target and the association of RNA binding proteins (RBPs) [65,66,67]. Once these interactions are established, the diverse nature of the outcomes on gene expression programs determines a whole new level of regulation that can have quite a profound impact on cell function and fate.

4. microRNAs’ Biological Functions: Getting to the Heart of the Matter

A basic knowledge of how miRNAs interact with their target mRNAs and the consequences of this interaction in terms of target gene expression is still one step away from understanding the biological impact of these regulators on cell fate and function. Again, the diversity of modes of action, complex underpinnings of the system and in many cases, the technical difficulties associated with the required experimental studies impose significant limitations on the quest for understanding the function of miRs at the level of the organism.

4.1. Regulation of Gene Expression Programs by microRNAs

The presence of multiple target sites with different affinities and abundances within a given cell (or even on a single mRNA) creates a dynamic environment that will strongly influence the interaction kinetics between miRNA and mRNA. To make matters more complex, recent data has revealed the existence of several cellular RNA molecules that act as miRNA sponges to regulate their availability. These include pseudogene mRNAs [68], long-non-coding RNAs [69] and even previously unknown circular RNA species [70,71]. Together with the properties of the miR-mRNA interaction, this makes the sequence-based prediction of effective miRNA targets a complex problem that many groups have attempted to tackle with limited success. In particular, the integration of kinetic models into predictions will likely be fundamental for a robust prediction of functionally relevant mir-mRNA interaction (see discussion by [72]). As a corollary of all this, the outcome of a miR-mRNA interaction can be markedly different, ranging from full repression of gene expression through the reduction of target mRNA abundance to inconsequential levels (termed ‘switch targets’), to reduction of target abundance (or translation rates) to lower, yet functional levels (termed ‘tuning targets’), to apparently having no effect (termed neutral targets) [73].
Tremendous efforts have been made in recent years in order understand miRNA biology, with functional studies pointing to important roles played by miRs in the regulation of almost every cellular process. Additionally, the misregulation of miRNAs is often associated with human pathologies [74].
In theory, a single miRNA can interact with hundreds of mRNA molecules and a specific mRNA molecule may be the target of multiple miRs. Therefore, miR-mRNA interactions can define complex regulatory networks that serve to coordinate entire gene expression programs. These networks may further involve intercellular interactions according, for example, to the reports that miRs are actively secreted in exosomes or are capable of intercellular movement through a gap junction dependent mechanism, like the ones present in heart cardiomyocytes [75]. The current knowledge of miRNA biology has further revealed complex regulatory events in which transcriptional factors and miRNAs interplay through positive and negative feedback loops in order to control gene expression programs that modulate cell fate and differentiation (Figure 3).

4.2. Role of microRNAs in Cell Fate Decisions

The observation that the miRNA biogenesis machinery, although required for vertebrate development, was not essential for cell survival and did not interfere with the early stages of body plan establishment led to the suggestion that the main role of miRs might be related to regulating the diversification of cell types within organs and tissues [76,77]. The first studies identifying miRNAs as regulators of lineage commitment in animals came from studies involving over-expression of tissue enriched and tissue specific miRs. The latter can be defined as miRs whose expression level in one tissue is 20 fold or more higher than in all other tissues [78]. The hematopoietic enriched miR-181 was the first to be shown to shift progenitor cell differentiation into the specific lineage where it is abundant—B cells [79]. However, this study was specifically performed in the context of hematopoietic progenitors and did not provide significant insights into the underlying regulatory mechanisms. A more defined view of the power of miRs to shift gene expression programs into cell type specific programs came from the transfection of miR-124 and miR-1 into HeLa cells, followed by microarray analysis [80]. These miRs display a highly tissue specific expression pattern, with miR-124 being preferentially expressed in the brain and miR-1 in the skeletal muscle and heart. The analysis of the impact of overexpressing these miRs in HeLa cells established for the first time that animal miRs can influence the abundance of over 100 target mRNAs through base-pairing interactions between the seed and the 3' UTR, as opposed to having only an effect on translation repression [80]. Furthermore, Lim and colleagues found that they could infer the tissue of origin of these miRs by simply comparing the gene expression profile of the transfected cells with the profiles of different human tissues. Indeed, the gene expression profile was significantly and specifically shifted towards the expression profile of the miRNA tissue of origin through the systematic silencing of genes that were not expressed in those tissues. This led to the proposal that miRs help define and maintain the different cell types of animals. This study was complemented by the analysis of the impact of inactivating miR-1 expression in Drosophila, which revealed the extent of conservation of miRNA functions [81]. miR-1 knock-out (KO) led to major alterations in myofiber structure and muscle growth, resulting in larval paralysis and lethality. Interestingly, this phenotype could be rescued by muscle specific expression of miR-1, reinforcing its tissue-specific nature. Later experiments involving the ectopic expression of miR-1 in mouse and human embryonic stem cells revealed that this miRNA is a strong promoter of mesoderm differentiation, displaying enhanced cardiomyocyte formation, while at the same time suppressing gene expression of other lineages [82]. Based on these results, the authors proposed for the first time that miRs could be used as tools to drive the differentiation of embryonic stem cells. Further studies have identified multiple miRs that act as regulators of cell fate, as reviewed by Ivey and Srivastava (2010) [83]. In addition to this, miRs have also been shown to play critical roles in the establishment of stem cell properties, in particular in the maintenance of the pluripotent state (reviewed by [84]).

4.3. miRNAs as Critical Regulators of Stem Cell Properties

Embryonic stem cells (ESCs) and tissue or adult stem cells are central mediators of tissue development and homeostasis, respectively. By definition stem cells have the property of asymmetric division, i.e., they divide and generate another cell with stem cell properties by self-renewal, and a cell committed to specialized functions through differentiation. The diversity of cell types that can be generated from such a self-renewing cell may range from unlimited (for the totipotent ESCs) to different degrees of pre-commitment in adult stem cells, which may thus be referred more appropriately as progenitor cells. ESCs were studied in depth for the role of miRs in the definition of a cellular identity and control of their characteristic properties. Inhibition of every miRNA present in the cell, by suppression of Dicer, led to an acute loss of proliferative potential and a failure to silence the embryonic cell program and differentiate [85]. ESCs have a defined miRNA profile with a limited number of expressed miRs, both in humans and in mice, that decrease as stem cells differentiate [85]. Interestingly, some of the identified miRs present in ESCs are involved in the negative regulation of cell proliferation and of the pluripotency factors Oct4, Nanog and Sox2. Overall, ESCs seem to express miRs with antagonistic functions in the regulation of self-renewal and proliferation [84]. Depending on their balance, an ensuing cell fate decision will be made (Figure 4). In spite of being often viewed as ‘fine-tuners’ of gene expression or ‘robustness’ enforcers, recent studies have shown that a small number of stem cell specific miRs are ‘powerful’ enough to promote somatic cell reprogramming, reverting cells back to an ESC like state [86,87,88]. Conversely, some tissue-specific miRs have been shown to be able to direct trans-differentiation (i.e., the direct reprogramming of cell state without passing through an undifferentiated condition) [89,90]. These observations have placed miRs under the spotlight as emerging tools for the development of regenerative therapies (reviewed in [15,91]).
Figure 4. miRNAs are master regulators of cell lineage commitment. In response to a given genetic switch, miRNAs can fine-tune the transcriptome to modulate cell proliferation and differentiation. By targeting positive or negative regulators of lineage specification, miRNAs act as rheostats that adjust the proteome required for the activation or repression of the genetic programs that provide robustness to cell fate decisions.
Figure 4. miRNAs are master regulators of cell lineage commitment. In response to a given genetic switch, miRNAs can fine-tune the transcriptome to modulate cell proliferation and differentiation. By targeting positive or negative regulators of lineage specification, miRNAs act as rheostats that adjust the proteome required for the activation or repression of the genetic programs that provide robustness to cell fate decisions.
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4.4. Regulatory Feedback between miRNAs and Transcription Factors

The properties that allow miRNAs to have such a robust impact on the definition of cellular gene expression programs, seem to stem from the interweaving of their post-transcriptional regulatory activities with core transcriptional networks that control cell fate and differentiation [83]. Although the specific modalities by which the two intersect can be quite diverse depending on the specific situation, a common theme of feedback and feed-forward loops between miRs and transcription factors, either counterbalancing or reinforcing cellular decisions, has clearly emerged.
One of the first known examples of these regulatory loops involves the interplay of miR-1 and the cardiogenic and myogenic transcription factors (Figure 5). miR-1 is actually a member of an evolutionarily conserved family that in mammals is organized as three bicistronic TUs (Figure 3A). miR-1 is encoded by two genes, miR-1-1 and 1-2, which are clustered with miR-133a-2 and miR-133a-1, respectively. These genes are under the control of the master cardiogenic and myogenic transcription regulators SRF, Mef2, MyoD and myogenin, thereby presenting both cardiac and skeletal muscle specific expression [34,92,93]. A third paralogous gene cluster encodes the miR-206/miR-133b pair, which is only expressed in the skeletal muscle. miR-1 and miR-133 are for the most part co-expressed and contribute to the establishment of a muscle specific gene expression program while having somewhat antagonistic roles in the control of proliferation and differentiation [94]. Indeed, while miR-1 is acknowledged to trigger differentiation of both mouse and human embryonic stem (ES) cells into the cardiomyocytes, miR-133 was found to act in partial opposition to miR-1, by promoting muscle progenitor expansion and preventing terminal differentiation [82]. Interestingly, both miR-1 and miR-133 have been shown to be negative regulators of the same cardiogenic transcription factors that, in addition to promoting their expression, activate protein-coding genes involved in muscle function (e.g., sarcomere genes) [34,92,94,95]. The existence of multiple independent enhancers of the miR-1/133 genes and the negative feedback loop established between miRs and transcription factors allow fine-tuning of temporal-spatial control of gene expression, providing a means of reinforcing the cardiac and skeletal-muscle-specific programs during development and cell differentiation.
Figure 5. Transcriptional regulatory networks controlled by miR-1 and miR-133 during cardiac muscle differentiation. In mammals, the duplicated miR-1/miR-133 locus is transcribed into a bicistronic transcript that is regulated by multiple independent upstream intronic enhancers. In the embryonic heart, expression of the miR-1/miR-133 locus is transcriptionally regulated by the myogenic transcription factors SFR, MYOCD and MEF2. By targeting the same transcription factors that regulate miR-1/miR133 expression and control cardiac progenitor cell proliferation and differentiation, miR-1 and miR-133 fine-tune multiple nodes of the genetic networks that control cardiac muscle differentiation.
Figure 5. Transcriptional regulatory networks controlled by miR-1 and miR-133 during cardiac muscle differentiation. In mammals, the duplicated miR-1/miR-133 locus is transcribed into a bicistronic transcript that is regulated by multiple independent upstream intronic enhancers. In the embryonic heart, expression of the miR-1/miR-133 locus is transcriptionally regulated by the myogenic transcription factors SFR, MYOCD and MEF2. By targeting the same transcription factors that regulate miR-1/miR133 expression and control cardiac progenitor cell proliferation and differentiation, miR-1 and miR-133 fine-tune multiple nodes of the genetic networks that control cardiac muscle differentiation.
Cells 03 00996 g005

5. microRNAs in Heart Development

The earliest studies on miRNA expression and function immediately suggested a prominent role in the cardiac tissue [96,97,98,99]. This initial hypothesis was to be supported by a growing number of studies that showed not only that the miRNA biogenesis machinery is required for normal heart development, but were also able to dissect the roles of specific miRNAs in the regulatory networks controlling the embryonic and post-natal steps of heart development.

5.1. Requirement of the microRNA Machinery for Heart Development

The first evidence for the role of miRs in heart development came from the study of knock-out animals targeting the core miRNA biogenesis machinery: Drosha, DGCR8, Dicer and Ago2 [100,101,102,103,104]. The use of mouse models is limited by the fact that the ablation of these essential proteins results in early embryonic lethality, preventing the analysis of the overall contribution of miRs to the cardiovascular system. Therefore, addressing the specific contributions of the miRNA pathway to heart development required the use of tissue/cell type specific knock-outs for these genes. Deletion of Dicer during early heart development has been achieved using Nkx2.5 driven recombinase expression [100,101]. These studies reported major defects in ventricular myocardium structure, cardiac outflow tract morphogenesis and chamber septation, in addition to pericardial edema. Deletion of Dicer at later stages in development using the cardiomyocyte specific promotor for the MHC/Myh6 gene resulted in early post-natal death associated to the presence of cytoskeletal defects and deregulation of proteins important for contractility, cardiac conduction, and calcium handling [102]. Dicer and Dgcr8 deletion in neural crest cells, which participate in the development of the cardiac outflow tract, revealed critical contributions of miRs for cell migration and patterning processes [103,104]. Interestingly, the observed defects strongly resembled the developmental abnormalities present in some human genetic disorders, including the Di George micro-deletion syndrome, which includes the genomic locus of the DGCR8 gene that is part of the canonical miRNA processing machinery [105]. Although the heart malformations associated with this syndrome have been proposed to result from haplo-insufficiency of the cardiogenic transcription factor Tbx1, also located in the Di George critical region [106,107], it is highly likely that part of these defects are in fact linked to perturbations in the miRNA biogenesis pathway.
While suggesting an important role for miRs at all levels of regulation of the cardiac developmental program, from differentiation to morphogenesis, these approaches fail to identify the contributions of specific miRs, which require their targeted manipulation. Together with studies characterizing miRNA expression levels across tissues and developmental stages and in response to heart injury, the development of these functional approaches led to the identification of multiple miRs that play a role in heart development and response to injury, a topic that has been the subject of several recent reviews [94,108].

5.2. The miR-1/133 Family is a Critical Component of Cardiogenic Regulatory Networks

Standing out among the miRs with roles in cardiac function is the highly conserved miR-1, originally identified in early studies in Drosophila and C. elegans and shown to be highly expressed in the human and mouse heart and skeletal muscle [96,97,98,99]. As discussed above, miR-1 was later found to be encoded in two bicistronic clusters together with miR-133a, which displays the same overall expression pattern and is also a key regulator of muscle and cardiac cell differentiation.
Zhao and colleagues where the first to demonstrate that miR-1 can influence heart development, by showing that miR-1 overexpression in the developing mouse heart down-regulates the cardiogenic regulator Hand2 and results in premature withdrawal of cardiomyocytes from the cell cycle [34]. Strikingly, deletion of the single miR-1 gene in Drosophila also resulted in a spectrum of defects in muscle and cardiac differentiation [81,109]. These studies revealed for the first time a specific role for tissue-specific miRs in the establishment of cell differentiation programs, showing that miR-1 is required to maintain muscle gene expression and suggesting a high degree of functional conservation between flies and mammals.
Interestingly, miR-133 is also conserved in Drosophila, but it is not clustered with the single dm-miR-1 gene. Studies on the evolution of this miRNA family suggest that they became clustered in the early stages of chordate evolution, becoming linked to the GATA4/5/6 ancestral gene before the genome duplication events that occurred near the base of the vertebrate lineage [110]. The genomic duplication events at the base of vertebrate evolution therefore resulted not only in the appearance of the three cardiogenic GATA genes (GATA4, GATA5 and GATA6) but also created the miR-1/133 gene family. One of the miR-1 paralogs was later converted into the skeletal muscle specific miR-206, roughly at the time of the teleost divergence [110]. Strikingly, the association between GATA-4 and the miR-206/133b gene cluster was lost during mammalian evolution, although it is still retained in all other vertebrates. It is, therefore, tempting to speculate that the evolution of the gene regulatory programs underlying the development of the mammalian heart, which involved the expansion and re-organization of the core cardiogenic transcriptional machinery [16], occurred in tight connection with the development of a miRNA dependent control layer.
Further insights into the role of the miR-1/133 family in cardiac development were obtained through the generation of knock-out mice with targeted ablation of these miRs. miR-1 was one of the first miRs whose function was characterized by this approach [101,111]. In spite of its duplication, ablation of the 21 nt miR-1 sequence in the miR-1-2 gene using a targeted recombination strategy designed to replace it with a Neo-LacZ selection marker was reported to resulted in 50% embryonic lethality with ventricular septation defects (VSD) [101]. The surviving animals had normal heart morphologies but displayed heart hyperplasia associated to abnormal myocyte proliferation and cardiac conduction defects, with frequent sudden death during the first post-natal weeks. Similar results have been reported for a miR-1-1 KO using the same targeting strategy [112]. However, the apparent haplo-insufficiency of miR-1 in heart development has been questioned by more recent double KO mice, which do not show any embryonic lethality [113]. The key difference between this and the earlier studies is the removal of the positive selection cassettes. These sequence elements have been reported to cause transcriptional interference and could thereby affect the KO phenotype in a non-specific manner [114]. An older study using knock-outs for miR-133a-1 and miR-133-a2 with removal of the selection markers also supports the redundancy of these genes during heart development, as only the double knock-out mice displayed detectable cardiac phenotypes [115]. Finally, a more recent targeted ablation of a single miR-1/133 cluster did not show any significant developmental or cardiac defects, which were only observed upon deletion of both clusters [116].
These more recent models also raise interesting questions regarding the role of the miRs-1/133 during heart development. Indeed, Wei and colleagues do not report any embryonic lethality in the mir-1 dKO mice [113]. For the miR-133 dKO animals, albeit a modest reduction in viability is observed during embryonic development, along with a high number of VSD related deaths soon after birth (day P0/P1), about half of the mice hearts developed with a relatively normal morphology [115]. Only the miR-1/133 dKO displayed significant cardiac abnormalities during embryonic development, with no animal surviving past embryonic day E10.5 [116]. This is in sharp contrast with the previously described defect of miR-133a dKO mice, which becomes apparent only at later stages [115]. The complete loss of miR-1/133a did not interfere with formation of the primary heart tube, but affected maturation and further specification of embryonic cardiomyocytes during expansion of the compact layer of the myocardium.

5.3. microRNAs Play a Critical Role in the Cardiac Fetal-to-Adult Switch

In spite of the fact that the available KO mice for the mR-1/133 family present some discrepancies in the observed phenotypes, the requirement for these miRs for an appropriate transition from the fetal to a more mature/adult cardiac gene expression program is extremely consistent. Interestingly, the lack of miR-1/miR133 seems to affect multiple cellular pathways required for this transition. These include marked changes in the cardiac contractibility apparatus, with a switch from fetal specific to adult isoforms of several sarcomeric proteins, and the silencing of smooth muscle proteins expressed early during cardiomyocyte differentiation, which appears to be regulated by both miR-1 and miR-133. In addition, this switch is associated to significant changes in energy metabolism, moving from glycolytic pathways in fetal cardiomyocytes to fatty acid oxidation in the adult heart, which seems to be also affected in the absence of miR-1. Finally, the cessation of cell proliferation, a hallmark of the fetal to adult transition, was also reported to be affected in four of these mouse models, where cardiomyocytes division was observed to occur late after birth [101,113,115]. Thus, the available data support the view that miR-1 and miR-133 play a critical synergistic role in the suppression the cardiac fetal gene program and enforcement of adult skeletal muscle properties, driving cardiac maturation.
Interestingly, several other miRs are reported to play critical roles in the fetal to post-natal cardiac switch. These include the so called ‘myomiRs’, mir-208a, miR-208b and miR-499, which are encoded as introns of the α, β and 7b myosin heavy chain (MHC) encoding genes Myh6, Myh7 and Myh7b [94]. The β-MHC is expressed in the fetal heart, switching to the α-MHC in the adult heart. This switch involves a regulatory circuitry among the MyomiRs and their host myosins that appears to be operative specifically in the adult heart [117]. Additionally, cardiac postnatal development is marked by alternative splicing transitions from embryonic to adult cardiac protein proteins, coordinated for the most part by the CUBGP and ETR-3-like factor (CELF) family of splicing regulators. These proteins have in turn been shown to be directly regulated by miRs-23a/b, which coordinate a whole alternative splicing network during post-natal development [118]. Finally, the upregulation of the miR-15 family has been suggested to be a key regulatory event linked to the terminal exit of cardiomyocytes from cell cycle during the post-natal period [119]. This critical role of miRs in the establishment of a robust post-natal cardiac gene expression program is further supported by studies where the targeted post-natal deletion of Dicer was performed in the mouse heart, leading to strong re-expression of fetal genes along with a marked hypertrophic response [120]. Conversely, the cardiac response to stress is marked by the aberrant expression of multiple miRs, in many cases associated with a re-enactment of the fetal gene expression program [121,122].

7. Conclusion and Future Perspectives

The past few years have generated revolutionary insights not only into our understanding of the genetic regulatory programs that control cell function and fate in the context of heart development, but also in our ability to manipulate these programs for therapeutic purposes. Central to these developments is the identification of a previously hidden, non-coding layer for gene expression regulation, of which miRs represent a critical part. Standing together with novel major advances regarding our understanding of stem and progenitor cell function and regulation and of cellular reprogramming events, these progresses herald a new era for the development of regenerative therapies, with particular focus on the heart. Our current understanding suggests that the mammalian heart contains an untapped potential for regeneration that could be engaged to promote new therapies for cardiac injury. Coupled to their physical characteristics, miRs stand as prime candidates for the development of effective tools to promote such in situ regeneration. miRNA mimics or inhibitors can be easily synthesized and in animal are easily administered to cells via lipid-based transfection with low toxicity models. Moreover, the small size of a single miRNA allows the easy packing of distinct molecules as required to induce the desired cell response. Although there is still a long way ahead, the recent advances can easily make us believe in a not so far away future, where such therapies will become available for patients. This will however require a deeper understanding of the precise functions played by specific miRNAs in cardiac cell differentiation that will not only require the profiling of miR expression under various developmental, functional, mutant and disease conditions, but also systematic studies focused on target identification based on miRNA-mRNA interactions. The recent developments in deep-sequencing, namely in single-cell sequencing, will provide an important technological basis for such studies, in particular by supporting a much needed characterization of cell type specific expression and function of miRNAs.

Acknowledgments

We would like to thank Hugo A. F. Santos for assistance in the preparation of the manuscript and Luka A. Clarke for kindly revising the manuscript. This work was supported by the Fundação para a Ciência e Tecnologia, Portugal (Grant PEst- OE/BIA/UI4046/2014 to the BioFig research unit).

Author contributions

Margarida Gama-Carvalho planned and wrote the manuscript. Jorge Andrade wrote part of the manuscript and designed all figures. Luis Brás-Rosário contributed to the outline of the manuscript and in manuscript revision.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ohno, S. So much “junk” DNA in our genome. Brookhaven Symp. Biol. 1972, 23, 366–370. [Google Scholar] [PubMed]
  2. Sempere, L.F.; Cole, C.N.; Mcpeek, M.A.; Peterson, K.J. The phylogenetic distribution of metazoan microRNAs: Insights into evolutionary complexity and constraint. J. Exp. Zool. Part B Mol. Dev. Evol. 2006, 306, 575–588. [Google Scholar] [CrossRef]
  3. Niwa, R.; Slack, F.J. The evolution of animal microRNA function. Curr. Opin. Genet. Dev. 2007, 17, 145–150. [Google Scholar] [CrossRef] [PubMed]
  4. Christodoulou, F.; Raible, F.; Tomer, R.; Simakov, O.; Trachana, K.; Klaus, S.; Snyman, H.; Hannon, G.J.; Bork, P.; Arendt, D. Ancient animal microRNAs and the evolution of tissue identity. Nature 2010, 463, 1084–1088. [Google Scholar] [CrossRef] [PubMed]
  5. Chen, K.; Rajewsky, N. The evolution of gene regulation by transcription factors and microRNAs. Nat. Rev. Genet. 2007, 8, 93–103. [Google Scholar] [CrossRef] [PubMed]
  6. Bernstein, B.E.; Birney, E.; Dunham, I.; Green, E.D.; Gunter, C.; Snyder, M. An integrated encyclopedia of DNA elements in the human genome. Nature 2012, 489, 57–74. [Google Scholar] [CrossRef] [PubMed]
  7. Palazzo, A.F.; Gregory, T.R. The case for junk DNA. PLoS Genet. 2014, 10, e1004351. [Google Scholar] [CrossRef] [PubMed]
  8. Kozomara, A.; Griffiths-Jones, S. miRBase: annotating high confidence microRNAs using deep sequencing data. Nucleic Acids Res. 2013, 42, D68–D73. [Google Scholar] [CrossRef] [PubMed]
  9. Friedländer, M.R.; Mackowiak, S.D.; Li, N.; Chen, W.; Rajewsky, N. miRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades. Nucleic Acids Res. 2012, 40, 37–52. [Google Scholar] [CrossRef] [PubMed]
  10. Porrello, E.R.; Mahmoud, A.I.; Simpson, E.; Hill, J.A.; Richardson, J.A.; Olson, E.N.; Sadek, H.A. Transient regenerative potential of the neonatal mouse heart. Science 2011, 331, 1078–1080. [Google Scholar] [CrossRef] [PubMed]
  11. Senyo, S.E.; Steinhauser, M.L.; Pizzimenti, C.L.; Yang, V.K.; Cai, L.; Wang, M.; Wu, T.D.; Guerquin-Kern, J.L.; Lechene, C.P.; Lee, R.T. Mammalian heart renewal by pre-existing cardiomyocytes. Nature 2013, 493, 433–436. [Google Scholar] [CrossRef] [PubMed]
  12. Xin, M.; Olson, E.N.; Bassel-Duby, R. Mending broken hearts: cardiac development as a basis for adult heart regeneration and repair. Nat. Rev. Mol. cell Biol. 2013, 14, 529–541. [Google Scholar] [CrossRef] [PubMed]
  13. Laflamme, M.A.; Murry, C.E. Heart regeneration. Nature 2011, 473, 326–335. [Google Scholar] [CrossRef] [PubMed]
  14. Gonzales, C.; Pedrazzini, T. Progenitor cell therapy for heart disease. Exp. Cell Res. 2009, 315, 3077–3085. [Google Scholar] [CrossRef] [PubMed]
  15. Moradi, S.; Asgari, S.; Baharvand, H. Concise review: harmonies played by microRNAs in cell fate reprogramming. Stem Cells 2014, 32, 3–15. [Google Scholar] [CrossRef] [PubMed]
  16. Olson, E.N. Gene regulatory networks in the evolution and development of the heart. Science 2006, 313, 1922–1927. [Google Scholar] [CrossRef] [PubMed]
  17. Gillis, W.Q.; St John, J.; Bowerman, B.; Schneider, S.Q. Whole genome duplications and expansion of the vertebrate GATA transcription factor gene family. BMC Evol. Biol. 2009, 9, 207. [Google Scholar] [CrossRef] [PubMed]
  18. Putnam, N.H.; Butts, T.; Ferrier, D.E. K.; Furlong, R.F.; Hellsten, U.; Kawashima, T.; Robinson-Rechavi, M.; Shoguchi, E.; Terry, A.; Yu, J.K.; et al. The amphioxus genome and the evolution of the chordate karyotype. Nature 2008, 453, 1064–1071. [Google Scholar] [CrossRef] [PubMed]
  19. Bu, L.; Jiang, X.; Martin-Puig, S.; Caron, L.; Zhu, S.; Shao, Y.; Roberts, D.J.; Huang, P.L.; Domian, I.J.; Chien, K.R. Human ISL1 heart progenitors generate diverse multipotent cardiovascular cell lineages. Nature 2009, 460, 113–117. [Google Scholar] [CrossRef] [PubMed]
  20. Musunuru, K.; Domian, I.J.; Chien, K.R. Stem cell models of cardiac development and disease. Annu. Rev. Cell Dev. Biol. 2010, 26, 667–687. [Google Scholar] [CrossRef] [PubMed]
  21. Sturzu, A.C.; Wu, S.M. Developmental and regenerative biology of multipotent cardiovascular progenitor cells. Circ. Res. 2011, 108, 353–364. [Google Scholar] [CrossRef] [PubMed]
  22. Breckenridge, R. Molecular Control of Cardiac Fetal/Neonatal Remodeling. J. Cardiovasc. Dev. Dis. 2014, 1, 29–36. [Google Scholar] [CrossRef]
  23. Siedner, S.; Krüger, M.; Schroeter, M.; Metzler, D.; Roell, W.; Fleischmann, B.K.; Hescheler, J.; Pfitzer, G.; Stehle, R. Developmental changes in contractility and sarcomeric proteins from the early embryonic to the adult stage in the mouse heart. J. Physiol. 2003, 548, 493–505. [Google Scholar] [CrossRef] [PubMed]
  24. Schanen, B.C.; Li, X. Transcriptional regulation of mammalian miRNA genes. Genomics 2011, 97, 1–6. [Google Scholar] [CrossRef] [PubMed]
  25. Siomi, H.; Siomi, M.C. Posttranscriptional Regulation of MicroRNA Biogenesis in Animals. Mol. Cell 2010, 38, 323–332. [Google Scholar] [CrossRef] [PubMed]
  26. Borchert, G.M.; Lanier, W.; Davidson, B.L. RNA polymerase III transcribes human microRNAs. Nat. Struct. Mol. Biol. 2006, 13, 1097–1101. [Google Scholar] [CrossRef] [PubMed]
  27. Canella, D.; Praz, V.; Reina, J.H.; Cousin, P.; Hernandez, N. Defining the RNA polymerase III transcriptome: Genome-wide localization of the RNA polymerase III transcription machinery in human cells. Genome Res. 2010, 20, 710–721. [Google Scholar] [CrossRef] [PubMed]
  28. Cai, X.; Hagedorn, C.H.; Cullen, B.R. Human microRNAs are processed from capped, polyadenylated transcripts that can also function as mRNAs. RNA 2004, 10, 1957–1966. [Google Scholar] [CrossRef] [PubMed]
  29. Lee, Y.; Kim, M.; Han, J.; Yeom, K.-H.; Lee, S.; Baek, S.H.; Kim, V.N. MicroRNA genes are transcribed by RNA polymerase II. EMBO J. 2004, 23, 4051–4060. [Google Scholar] [CrossRef] [PubMed]
  30. Rodriguez, A.; Griffiths-Jones, S.; Ashurst, J.L.; Bradley, A. Identification of mammalian microRNA host genes and transcription units. Genome Res. 2004, 14, 1902–1910. [Google Scholar] [CrossRef] [PubMed]
  31. Ozsolak, F.; Poling, L.L.; Wang, Z.; Liu, H.; Liu, X.S.; Roeder, R.G.; Zhang, X.; Song, J.S.; Fisher, D.E. Chromatin structure analyses identify miRNA promoters. Genes Dev. 2008, 22, 3172–3183. [Google Scholar] [CrossRef] [PubMed]
  32. Zhu, S.; Jiang, Q.; Wang, G.; Liu, B.; Teng, M.; Wang, Y. Chromatin structure characteristics of pre-miRNA genomic sequences. BMC Genomics 2011, 12, 329. [Google Scholar] [CrossRef] [PubMed]
  33. Monteys, A.M.; Spengler, R.M.; Wan, J.; Tecedor, L.; Lennox, K.A.; Xing, Y.; Davidson, B.L. Structure and activity of putative intronic miRNA promoters. RNA 2010, 16, 495–505. [Google Scholar] [CrossRef] [PubMed]
  34. Zhao, Y.; Samal, E.; Srivastava, D. Serum response factor regulates a muscle-specific microRNA that targets Hand2 during cardiogenesis. Nature 2005, 436, 214–220. [Google Scholar] [CrossRef] [PubMed]
  35. Corcoran, D.L.; Pandit, K.V.; Gordon, B.; Bhattacharjee, A.; Kaminski, N.; Benos, P.V. Features of mammalian microRNA promoters emerge from polymerase II chromatin immunoprecipitation data. PLoS One 2009, 4. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Marsico, A.; Huska, M.R.; Lasserre, J.; Hu, H.; Vucicevic, D.; Musahl, A.; Orom, U.A.; Vingron, M. PROmiRNA: a new miRNA promoter recognition method uncovers the complex regulation of intronic miRNAs. Genome Biol. 2013, 14, R84. [Google Scholar] [CrossRef] [PubMed]
  37. Kim, Y.K.; Kim, V.N. Processing of intronic microRNAs. EMBO J. 2007, 26, 775–783. [Google Scholar] [CrossRef] [PubMed]
  38. Han, J.; Lee, Y.; Yeom, K.H.; Nam, J.W.; Heo, I.; Rhee, J.K.; Sohn, S.Y.; Cho, Y.; Zhang, B.T.; Kim, V.N. Molecular basis for the recognition of primary microRNAs by the Drosha-DGCR8 complex. Cell 2006, 125, 887–901. [Google Scholar] [CrossRef] [PubMed]
  39. Yi, R.; Qin, Y.; Macara, I.G.; Cullen, B.R. Exportin-5 mediates the nuclear export of pre-microRNAs and short hairpin RNAs. Genes Dev. 2003, 17, 3011–3016. [Google Scholar] [CrossRef] [PubMed]
  40. Bohnsack, M.; Czaplinski, K.; Gorlich, D. Exportin 5 is a RanGTP-dependent dsRNA-binding protein that mediates nuclear export of pre-miRNAs. Rna 2004, 10, 185–191. [Google Scholar] [CrossRef] [PubMed]
  41. Zeng, Y.; Cullen, B.R. Structural requirements for pre-microRNA binding and nuclear export by Exportin 5. Nucleic Acids Res. 2004, 32, 4776–4785. [Google Scholar] [CrossRef] [PubMed]
  42. Lund, E.; Dahlberg, J.E. Substrate selectivity of exportin 5 and Dicer in the biogenesis of microRNAs. Cold Spring Harb. Symp. Quant. Biol. 2006, 71, 59–66. [Google Scholar] [CrossRef] [PubMed]
  43. Lee, Y.; Hur, I.; Park, S.Y.; Kim, Y.K.; Suh, M.R.; Kim, V.N. The role of PACT in the RNA silencing pathway. EMBO J. 2006, 25, 522–532. [Google Scholar] [CrossRef] [PubMed]
  44. Chendrimada, T.P.; Gregory, R.I.; Kumaraswamy, E.; Norman, J.; Cooch, N.; Nishikura, K.; Shiekhattar, R. TRBP recruits the Dicer complex to Ago2 for microRNA processing and gene silencing. Nature 2005, 436, 740–744. [Google Scholar] [CrossRef] [PubMed]
  45. Kok, K.H.; Ng, M.H.J.; Ching, Y.P.; Jin, D.Y. Human TRBP and PACT directly interact with each other and associate with dicer to facilitate the production of small interfering RNA. J. Biol. Chem. 2007, 282, 17649–17657. [Google Scholar] [CrossRef] [PubMed]
  46. Bushati, N.; Cohen, S.M. microRNA functions. Annu. Rev. Cell Dev. Biol. 2007, 23, 175–205. [Google Scholar] [CrossRef] [PubMed]
  47. Ruby, J.G.; Jan, C.H.; Bartel, D.P. Intronic microRNA precursors that bypass Drosha processing. Nature 2007, 448, 83–86. [Google Scholar] [CrossRef] [PubMed]
  48. Havens, M.A.; Reich, A.A.; Duelli, D.M.; Hastings, M.L. Biogenesis of mammalian microRNAs by a non-canonical processing pathway. Nucleic Acids Res. 2012, 40, 4626–4640. [Google Scholar] [CrossRef] [PubMed]
  49. Babiarz, J.E.; Ruby, J.G.; Wang, Y.; Bartel, D.P.; Blelloch, R. Mouse ES cells express endogenous shRNAs, siRNAs, and other Microprocessor-independent, Dicer-dependent small RNAs. Genes Dev. 2008, 22, 2773–2785. [Google Scholar] [CrossRef] [PubMed]
  50. Cole, C.; Sobala, A.; Lu, C.; Thatcher, S.R.; Bowman, A.; Brown, J.W. S.; Green, P.J.; Barton, G.J.; Hutvagner, G. Filtering of deep sequencing data reveals the existence of abundant Dicer-dependent small RNAs derived from tRNAs. RNA 2009, 15, 2147–2160. [Google Scholar] [CrossRef] [PubMed]
  51. Ender, C.; Krek, A.; Friedländer, M.R.; Beitzinger, M.; Weinmann, L.; Chen, W.; Pfeffer, S.; Rajewsky, N.; Meister, G. A human snoRNA with microRNA-like functions. Mol. Cell 2008, 32, 519–528. [Google Scholar] [CrossRef] [PubMed]
  52. Kawahara, Y.; Zinshteyn, B.; Sethupathy, P.; Iizasa, H.; Hatzigeorgiou, A.G.; Nishikura, K. Redirection of silencing targets by adenosine-to-inosine editing of miRNAs. Science 2007, 315, 1137–1140. [Google Scholar] [CrossRef] [PubMed]
  53. Liang, H.; Landweber, L.F. Hypothesis: RNA editing of microRNA target sites in humans? RNA 2007, 13, 463–467. [Google Scholar] [CrossRef]
  54. Blow, M.J.; Grocock, R.J.; van Dongen, S.; Enright, A.J.; Dicks, E.; Futreal, P.A.; Wooster, R.; Stratton, M.R. RNA editing of human microRNAs. Genome Biol. 2006, 7, R27. [Google Scholar] [CrossRef] [PubMed]
  55. Öhman, M. A-to-I editing challenger or ally to the microRNA process. Biochimie 2007, 89, 1171–1176. [Google Scholar] [CrossRef] [PubMed]
  56. Kawahara, Y.; Zinshteyn, B.; Chendrimada, T.P.; Shiekhattar, R.; Nishikura, K. RNA editing of the microRNA-151 precursor blocks cleavage by the Dicer-TRBP complex. EMBO Rep. 2007, 8, 763–769. [Google Scholar] [CrossRef] [PubMed]
  57. Ota, H.; Sakurai, M.; Gupta, R.; Valente, L.; Wulff, B.E.; Ariyoshi, K.; Iizasa, H.; Davuluri, R.V.; Nishikura, K. ADAR1 forms a complex with dicer to promote MicroRNA processing and RNA-induced gene silencing. Cell 2013, 153, 575–589. [Google Scholar] [CrossRef] [PubMed]
  58. Ørom, U.; Nielsen, F.; Lund, A. MicroRNA-10a binds the 5′ UTR of ribosomal protein mRNAs and enhances their translation. Mol. Cell 2008, 30, 460–471. [Google Scholar] [CrossRef] [PubMed]
  59. Roush, S.; Slack, F.J. The let-7 family of microRNAs. Trends Cell Biol. 2008, 18, 505–516. [Google Scholar] [CrossRef] [PubMed]
  60. Fabian, M.R.; Sonenberg, N.; Filipowicz, W. Regulation of mRNA translation and stability by microRNAs. Annu. Rev. Biochem. 2010, 79, 351–379. [Google Scholar] [CrossRef] [PubMed]
  61. Baek, D.; Villen, J.; Shin, C.; Camargo, F.D.; Gygi, S.P.; Bartel, D.P. The impact of microRNAs on protein output. Nature 2008, 455, 64–71. [Google Scholar] [CrossRef] [PubMed]
  62. 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. [Google Scholar] [CrossRef] [PubMed]
  63. Huntzinger, E.; Izaurralde, E. Gene silencing by microRNAs: contributions of translational repression and mRNA decay. Nat. Rev. Genet. 2011, 12, 99–110. [Google Scholar] [CrossRef] [PubMed]
  64. Martin, H.C.; Wani, S.; Steptoe, A.L.; Krishnan, K.; Nones, K.; Nourbakhsh, E.; Vlassov, A.; Grimmond, S.M.; Cloonan, N. Imperfect centered miRNA binding sites are common and can mediate repression of target mRNAs. Genome Biol. 2014, 15, R51. [Google Scholar] [CrossRef] [PubMed]
  65. Kundu, P.; Fabian, M.R.; Sonenberg, N.; Bhattacharyya, S.N.; Filipowicz, W. HuR protein attenuates miRNA-mediated repression by promoting miRISC dissociation from the target RNA. Nucleic Acids Res. 2012, 40, 5088–5100. [Google Scholar] [CrossRef] [PubMed]
  66. Kedde, M.; Agami, R. Interplay between microRNAs and RNA-binding proteins determines developmental processes. Cell Cycle 2008, 7, 899–903. [Google Scholar] [CrossRef] [PubMed]
  67. Kedde, M.; Strasser, M.J.; Boldajipour, B.; Vrielink, J.A.O.; Slanchev, K.; le Sage, C.; Nagel, R.; Voorhoeve, P.M.; van Duijse, J.; Ørom, U.A.; et al. RNA-Binding Protein Dnd1 Inhibits MicroRNA Access to Target mRNA. Cell 2007, 131, 1273–1286. [Google Scholar] [CrossRef] [PubMed]
  68. Salmena, L.; Poliseno, L.; Tay, Y.; Kats, L.; Pandolfi, P.P. A ceRNA hypothesis: The Rosetta Stone of a hidden RNA language? Cell 2011, 146, 353–358. [Google Scholar] [CrossRef]
  69. Cesana, M.; Cacchiarelli, D.; Legnini, I.; Santini, T.; Sthandier, O.; Chinappi, M.; Tramontano, A.; Bozzoni, I. A long noncoding RNA controls muscle differentiation by functioning as a competing endogenous RNA. Cell 2011, 147, 358–369. [Google Scholar] [CrossRef] [PubMed]
  70. Hansen, T.B.; Jensen, T.I.; Clausen, B.H.; Bramsen, J.B.; Finsen, B.; Damgaard, C.K.; Kjems, J. Natural RNA circles function as efficient microRNA sponges. Nature 2013, 495, 384–388. [Google Scholar] [CrossRef] [PubMed]
  71. Memczak, S.; Jens, M.; Elefsinioti, A.; Torti, F.; Krueger, J.; Rybak, A.; Maier, L.; Mackowiak, S.D.; Gregersen, L.H.; Munschauer, M.; et al. Circular RNAs are a large class of animal RNAs with regulatory potency. Nature 2013, 495, 333–338. [Google Scholar] [CrossRef] [PubMed]
  72. Dorn, G.W.; Matkovich, S.J. Menage a Trois: Intimate Relationship Among a MicroRNA, Long Noncoding RNA, and mRNA. Circ. Res. 2014, 114, 1362–1365. [Google Scholar] [CrossRef] [PubMed]
  73. Flynt, A.S.; Lai, E.C. Biological principles of microRNA-mediated regulation: shared themes amid diversity. Nat. Rev. Genet. 2008, 9, 831–842. [Google Scholar] [CrossRef] [PubMed]
  74. Mendell, J.T.; Olson, E.N. MicroRNAs in stress signaling and human disease. Cell 2012, 148, 1172–1187. [Google Scholar] [CrossRef] [PubMed]
  75. Kizana, E.; Cingolani, E.; Marbán, E. Non-cell-autonomous effects of vector-expressed regulatory RNAs in mammalian heart cells. Gene Ther. 2009, 16, 1163–1168. [Google Scholar] [CrossRef] [PubMed]
  76. Giraldez, A.J.; Cinalli, R.M.; Glasner, M.E.; Enright, A.J.; Thomson, J.M.; Baskerville, S.; Hammond, S.M.; Bartel, D.P.; Schier, A.F. MicroRNAs regulate brain morphogenesis in zebrafish. Science 2005, 308, 833–838. [Google Scholar] [CrossRef] [PubMed]
  77. Bernstein, E.; Kim, S.Y.; Carmell, M.A.; Murchison, E.P.; Alcorn, H.; Li, M.Z.; Mills, A.A.; Elledge, S.J.; Anderson, K.V.; Hannon, G.J. Dicer is essential for mouse development. Nat. Genet. 2003, 35, 215–217. [Google Scholar] [CrossRef] [PubMed]
  78. Lee, E.J.; Baek, M.; Gusev, Y.; Brackett, D.J.; Nuovo, G.J.; Schmittgen, T.D. Systematic evaluation of microRNA processing patterns in tissues, cell lines, and tumors. RNA 2008, 14, 35–42. [Google Scholar] [CrossRef] [PubMed]
  79. Chen, C.Z.; Li, L.; Lodish, H.F.; Bartel, D.P. MicroRNAs modulate hematopoietic lineage differentiation. Science 2004, 303, 83–86. [Google Scholar] [CrossRef] [PubMed]
  80. Lim, L.P.; Lau, N.C.; Garrett-Engele, P.; Grimson, A.; Schelter, J.M.; Castle, J.; Bartel, D.P.; Linsley, P.S.; Johnson, J.M. Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs. Nature 2005, 433, 769–773. [Google Scholar] [CrossRef] [PubMed]
  81. Sokol, N.S.; Ambros, V. Mesodermally expressed Drosophila microRNA-1 is regulated by Twist and is required in muscles during larval growth. Genes Dev. 2005, 19, 2343–2354. [Google Scholar] [CrossRef] [PubMed]
  82. Ivey, K.N.; Muth, A.; Arnold, J.; King, F.W.; Yeh, R.-F.; Fish, J.E.; Hsiao, E.C.; Schwartz, R.J.; Conklin, B.R.; Bernstein, H.S.; Srivastava, D. MicroRNA regulation of cell lineages in mouse and human embryonic stem cells. Cell Stem Cell 2008, 2, 219–229. [Google Scholar] [CrossRef] [PubMed]
  83. Ivey, K.N.; Srivastava, D. MicroRNAs as regulators of differentiation and cell fate decisions. Cell Stem Cell 2010, 7, 36–41. [Google Scholar] [CrossRef] [PubMed]
  84. Gangaraju, V.K.; Lin, H. MicroRNAs: Key regulators of stem cells. Nat. Rev. Mol. Cell Biol. 2009, 10, 116–125. [Google Scholar] [CrossRef] [PubMed]
  85. Martinez, N.J.; Gregory, R.I. MicroRNA gene regulatory pathways in the establishment and maintenance of ESC identity. Cell Stem Cell 2010, 7, 31–35. [Google Scholar] [CrossRef] [PubMed]
  86. Miyoshi, N.; Ishii, H.; Nagano, H.; Haraguchi, N.; Dewi, D.L.; Kano, Y.; Nishikawa, S.; Tanemura, M.; Mimori, K.; Tanaka, F.; et al. Reprogramming of mouse and human cells to pluripotency using mature microRNAs. Cell Stem Cell 2011, 8, 633–638. [Google Scholar] [CrossRef] [PubMed]
  87. Anokye-Danso, F.; Trivedi, C.M.; Juhr, D.; Gupta, M.; Cui, Z.; Tian, Y.; Zhang, Y.; Yang, W.; Gruber, P.J.; Epstein, J.A.; et al. Highly efficient miRNA-mediated reprogramming of mouse and human somatic cells to pluripotency. Cell Stem Cell 2011, 8, 376–388. [Google Scholar] [CrossRef] [PubMed]
  88. Bao, X.; Zhu, X.; Liao, B.; Benda, C.; Zhuang, Q.; Pei, D.; Qin, B.; Esteban, M.A. MicroRNAs in somatic cell reprogramming. Curr. Opin. Cell Biol. 2013, 25, 208–214. [Google Scholar] [CrossRef] [PubMed]
  89. Yoo, A.S.; Sun, A.X.; Li, L.; Shcheglovitov, A.; Portmann, T.; Li, Y.; Lee-Messer, C.; Dolmetsch, R.E.; Tsien, R.W.; Crabtree, G.R. MicroRNA-mediated conversion of human fibroblasts to neurons. Nature 2011, 476, 228–231. [Google Scholar] [CrossRef] [PubMed]
  90. Jayawardena, T.M.; Egemnazarov, B.; Finch, E.A.; Zhang, L.; Payne, J.A.; Pandya, K.; Zhang, Z.; Rosenberg, P.; Mirotsou, M.; Dzau, V.J. MicroRNA-mediated in vitro and in vivo direct reprogramming of cardiac fibroblasts to cardiomyocytes. Circ. Res. 2012, 110, 1465–1473. [Google Scholar] [CrossRef] [PubMed]
  91. Guan, D.; Zhang, W.; Liu, G.H.; Belmonte, J.C.I. Switching cell fate, ncRNAs coming to play. Cell Death Dis. 2013, 4, e464. [Google Scholar] [CrossRef] [PubMed]
  92. Rao, P.K.; Toyama, Y.; Chiang, H.R.; Gupta, S.; Bauer, M.; Medvid, R.; Reinhardt, F.; Liao, R.; Krieger, M.; Jaenisch, R.; et al. Loss of Cardiac microRNA-Mediated Regulation Leads to Dilated Cardiomyopathy and Heart Failure. Circ. Res. 2009, 105, 585–594. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Chen, J.F.; Mandel, E.M.; Thomson, J.M.; Wu, Q.; Callis, T.E.; Hammond, S.M.; Conlon, F.L.; Wang, D.Z. The role of microRNA-1 and microRNA-133 in skeletal muscle proliferation and differentiation. Nat. Genet. 2006, 38, 228–233. [Google Scholar] [CrossRef] [PubMed]
  94. Liu, N.; Olson, E.N. MicroRNA Regulatory Networks in Cardiovascular Development. Dev. Cell 2010, 18, 510–525. [Google Scholar] [CrossRef] [PubMed]
  95. Liu, N.; Williams, A.H.; Kim, Y.; McAnally, J.; Bezprozvannaya, S.; Sutherland, L.B.; Richardson, J.A.; Bassel-Duby, R.; Olson, E.N. An intragenic MEF2-dependent enhancer directs muscle-specific expression of microRNAs 1 and 133. Proc. Natl. Acad. Sci. U.S.A. 2007, 104, 20844–20849. [Google Scholar] [CrossRef] [PubMed]
  96. Lau, N.C.; Lim, L.P.; Weinstein, E.G.; Bartel, D.P. An abundant class of tiny RNAs with probable regulatory roles in Caenorhabditis elegans. Science 2001, 294, 858–862. [Google Scholar] [CrossRef] [PubMed]
  97. Lee, R.C.; Ambros, V. An extensive class of small RNAs in Caenorhabditis elegans. Science 2001, 294, 862–864. [Google Scholar] [CrossRef] [PubMed]
  98. Lagos-Quintana, M.; Rauhut, R.; Lendeckel, W.; Tuschl, T. Identification of novel genes coding for small expressed RNAs. Science 2001, 294, 853–858. [Google Scholar] [CrossRef] [PubMed]
  99. Lagos-Quintana, M.; Rauhut, R.; Yalcin, A.; Meyer, J.; Lendeckel, W.; Tuschl, T. Identification of tissue-specific microRNAs from mouse. Curr. Biol. 2002, 12, 735–739. [Google Scholar] [CrossRef] [PubMed]
  100. Saxena, A.; Tabin, C.J. miRNA-processing enzyme Dicer is necessary for cardiac outflow tract alignment and chamber septation. Proc. Natl. Acad. Sci. U.S.A. 2010, 107, 87–91. [Google Scholar] [CrossRef] [PubMed]
  101. Zhao, Y.; Ransom, J.F.; Li, A.; Vedantham, V.; von Drehle, M.; Muth, A.N.; Tsuchihashi, T.; McManus, M.T.; Schwartz, R.J.; Srivastava, D. Dysregulation of cardiogenesis, cardiac conduction, and cell cycle in mice lacking miRNA-1-2. Cell 2007, 129, 303–317. [Google Scholar] [CrossRef] [PubMed]
  102. Chen, J.F.; Murchison, E.P.; Tang, R.; Callis, T.E.; Tatsuguchi, M.; Deng, Z.; Rojas, M.; Hammond, S.M.; Schneider, M.D.; Selzman, C.H.; et al. Targeted deletion of Dicer in the heart leads to dilated cardiomyopathy and heart failure. Proc. Natl. Acad. Sci. U.S.A. 2008, 105, 2111–2116. [Google Scholar] [CrossRef] [PubMed]
  103. Chapnik, E.; Sasson, V.; Blelloch, R.; Hornstein, E. Dgcr8 controls neural crest cells survival in cardiovascular development. Dev. Biol. 2012, 362, 50–56. [Google Scholar] [CrossRef] [PubMed]
  104. Huang, Z.P.; Chen, J.F.; Regan, J.N.; Maguire, C.T.; Tang, R.H.; Dong, X.R.; Majesky, M.W.; Wang, D.Z. Loss of microRNAs in neural crest leads to cardiovascular syndromes resembling human congenital heart defects. Arterioscler. Thromb. Vasc. Biol. 2010, 30, 2575–2586. [Google Scholar] [CrossRef] [PubMed]
  105. Shiohama, A.; Sasaki, T.; Noda, S.; Minoshima, S.; Shimizu, N. Molecular cloning and expression analysis of a novel gene DGCR8 located in the DiGeorge syndrome chromosomal region. Biochem. Biophys. Res. Commun. 2003, 304, 184–190. [Google Scholar] [CrossRef] [PubMed]
  106. Merscher, S.; Funke, B.; Epstein, J.A.; Heyer, J.; Puech, A.; Lu, M.M.; Xavier, R.J.; Demay, M.B.; Russell, R.G.; Factor, S.; et al. TBX1 is responsible for cardiovascular defects in velo-cardio-facial/DiGeorge syndrome. Cell 2001, 104, 619–629. [Google Scholar] [CrossRef] [PubMed]
  107. Lindsay, E.A.; Vitelli, F.; Su, H.; Morishima, M.; Huynh, T.; Pramparo, T.; Jurecic, V.; Ogunrinu, G.; Sutherland, H.F.; Scambler, P.J.; et al. Tbx1 haploinsufficieny in the DiGeorge syndrome region causes aortic arch defects in mice. Nature 2001, 410, 97–101. [Google Scholar] [CrossRef] [PubMed]
  108. Small, E.M.; Olson, E.N. Pervasive roles of microRNAs in cardiovascular biology. Nature 2011, 469, 336–342. [Google Scholar] [CrossRef] [PubMed]
  109. Kwon, C.; Han, Z.; Olson, E.N.; Srivastava, D. MicroRNA1 influences cardiac differentiation in Drosophila and regulates Notch signaling. Proc. Natl. Acad. Sci. U.S.A. 2005, 102, 18986–18991. [Google Scholar] [CrossRef] [PubMed]
  110. Tani, S.; Kuraku, S.; Sakamoto, H.; Inoue, K.; Kusakabe, R. Developmental expression and evolution of muscle-specific microRNAs conserved in vertebrates. Evol. Dev. 2013, 15, 293–304. [Google Scholar] [CrossRef] [PubMed]
  111. Park, C.Y.; Choi, Y.S.; McManus, M.T. Analysis of microRNA knockouts in mice. Hum. Mol. Genet. 2010, 19, R169–R175. [Google Scholar] [CrossRef] [PubMed]
  112. Heidersbach, A.; Saxby, C.; Carver-Moore, K.; Huang, Y.; Ang, Y.S.; de Jong, P.J.; Ivey, K.N.; Srivastava, D. microRNA-1 regulates sarcomere formation and suppresses smooth muscle gene expression in the mammalian heart. Elife 2013, 2, e01323. [Google Scholar] [CrossRef] [PubMed]
  113. Wei, Y.; Peng, S.; Wu, M.; Sachidanandam, R.; Tu, Z.; Zhang, S.; Falce, C.; Sobie, E.A.; Lebeche, D.; Zhao, Y. Multifaceted roles of miR-1s in repressing the fetal gene program in the heart. Cell Res. 2014, 24, 278–292. [Google Scholar] [CrossRef] [PubMed]
  114. Ema, M.; Takahashi, S.; Rossant, J. Deletion of the selection cassette, but not cis-acting elements, in targeted Flk1-lacZ allele reveals Flk1 expression in multipotent mesodermal progenitors. Blood 2006, 107, 111–117. [Google Scholar] [CrossRef] [PubMed]
  115. Liu, N.; Bezprozvannaya, S.; Williams, A.H.; Qi, X.; Richardson, J.A.; Bassel-Duby, R.; Olson, E.N. microRNA-133a regulates cardiomyocyte proliferation and suppresses smooth muscle gene expression in the heart. Genes Dev. 2008, 22, 3242–3254. [Google Scholar] [CrossRef] [PubMed]
  116. Wystub, K.; Besser, J.; Bachmann, A.; Boettger, T.; Braun, T. miR-1/133a clusters cooperatively specify the cardiomyogenic lineage by adjustment of myocardin levels during embryonic heart development. PLoS Genet. 2013, 9, e1003793. [Google Scholar] [CrossRef] [PubMed]
  117. Van Rooij, E.; Quiat, D.; Johnson, B.A.; Sutherland, L.B.; Qi, X.; Richardson, J.A.; Kelm, R.J.; Olson, E.N. A family of microRNAs encoded by myosin genes governs myosin expression and muscle performance. Dev. Cell 2009, 17, 662–673. [Google Scholar] [CrossRef] [PubMed]
  118. Kalsotra, A.; Wang, K.; Li, P.F.; Cooper, T.A. MicroRNAs coordinate an alternative splicing network during mouse postnatal heart development. Genes Dev. 2010, 24, 653–658. [Google Scholar] [CrossRef] [PubMed]
  119. Porrello, E.R.; Johnson, B.A.; Aurora, A.B.; Simpson, E.; Nam, Y.J.; Matkovich, S.J.; Dorn, G.W.; van Rooij, E.; Olson, E.N. miR-15 family regulates postnatal mitotic arrest of cardiomyocytes. Circ. Res. 2011, 109, 670–679. [Google Scholar] [CrossRef] [PubMed]
  120. Da Costa Martins, P.A.; Bourajjaj, M.; Gladka, M.; Kortland, M.; van Oort, R.J.; Pinto, Y.M.; Molkentin, J.D.; De Windt, L.J. Conditional dicer gene deletion in the postnatal myocardium provokes spontaneous cardiac remodeling. Circulation 2008, 118, 1567–1576. [Google Scholar] [CrossRef] [PubMed]
  121. Van Rooij, E.; Sutherland, L.B.; Qi, X.; Richardson, J.A.; Hill, J.; Olson, E.N. Control of stress-dependent cardiac growth and gene expression by a microRNA. Science 2007, 316, 575–579. [Google Scholar] [CrossRef] [PubMed]
  122. Thum, T.; Galuppo, P.; Wolf, C.; Fiedler, J.; Kneitz, S.; van Laake, L.W.; Doevendans, P.A.; Mummery, C.L.; Borlak, J.; Haverich, A.; Gross, C.; Engelhardt, S.; Ertl, G.; Bauersachs, J. MicroRNAs in the human heart: a clue to fetal gene reprogramming in heart failure. Circulation 2007, 116, 258–267. [Google Scholar] [CrossRef] [PubMed]
  123. Beltrami, A.P.; Barlucchi, L.; Torella, D.; Baker, M.; Limana, F.; Chimenti, S.; Kasahara, H.; Rota, M.; Musso, E.; Urbanek, K.; Leri, A.; Kajstura, J.; Nadal-Ginard, B.; Anversa, P. Adult cardiac stem cells are multipotent and support myocardial regeneration. Cell 2003, 114, 763–776. [Google Scholar] [CrossRef] [PubMed]
  124. Bergmann, O.; Bhardwaj, R.D.; Bernard, S.; Zdunek, S.; Barnabé-Heider, F.; Walsh, S.; Zupicich, J.; Alkass, K.; Buchholz, B.A.; Druid, H.; et al. Evidence for cardiomyocyte renewal in humans. Science 2009, 324, 98–102. [Google Scholar] [CrossRef] [PubMed]
  125. Mollova, M.; Bersell, K.; Walsh, S.; Savla, J.; Das, L.T.; Park, S.Y.; Silberstein, L.E.; Dos Remedios, C.G.; Graham, D.; Colan, S.; Kühn, B. Cardiomyocyte proliferation contributes to heart growth in young humans. Proc. Natl. Acad. Sci. U.S.A. 2013, 110, 1446–1451. [Google Scholar] [CrossRef] [PubMed]
  126. Jopling, C.; Sleep, E.; Raya, M.; Martí, M.; Raya, A.; Belmonte, J.C.I. Zebrafish heart regeneration occurs by cardiomyocyte dedifferentiation and proliferation. Nature 2010, 464, 606–609. [Google Scholar] [CrossRef] [PubMed]
  127. Kikuchi, K.; Holdway, J.E.; Werdich, A.A.; Anderson, R.M.; Fang, Y.; Egnaczyk, G.F.; Evans, T.; Macrae, C.A.; Stainier, D.Y.R.; Poss, K.D. Primary contribution to zebrafish heart regeneration by gata4(+) cardiomyocytes. Nature 2010, 464, 601–605. [Google Scholar] [CrossRef] [PubMed]
  128. Beltrami, A.P.; Urbanek, K.; Kajstura, J.; Yan, S.M.; Finato, N.; Bussani, R.; Nadal-Ginard, B.; Silvestri, F.; Leri, A.; Beltrami, C.A.; et al. Evidence that human cardiac myocytes divide after myocardial infarction. N. Engl. J. Med. 2001, 344, 1750–1757. [Google Scholar] [CrossRef] [PubMed]
  129. Quaini, F.; Urbanek, K.; Beltrami, A.P.; Finato, N.; Beltrami, C.A.; Nadal-Ginard, B.; Kajstura, J.; Leri, A.; Anversa, P. Chimerism of the transplanted heart. N. Engl. J. Med. 2002, 346, 5–15. [Google Scholar] [CrossRef] [PubMed]
  130. Hierlihy, A.M.; Seale, P.; Lobe, C.G.; Rudnicki, M.A.; Megeney, L.A. The post-natal heart contains a myocardial stem cell population. FEBS Lett. 2002, 530, 239–243. [Google Scholar] [CrossRef] [PubMed]
  131. Martin, C.M.; Meeson, A.P.; Robertson, S.M.; Hawke, T.J.; Richardson, J.A.; Bates, S.; Goetsch, S.C.; Gallardo, T.D.; Garry, D.J. Persistent expression of the ATP-binding cassette transporter, Abcg2, identifies cardiac SP cells in the developing and adult heart. Dev. Biol. 2004, 265, 262–275. [Google Scholar] [CrossRef] [PubMed]
  132. Oh, H.; Bradfute, S.B.; Gallardo, T.D.; Nakamura, T.; Gaussin, V.; Mishina, Y.; Pocius, J.; Michael, L.H.; Behringer, R.R.; Garry, D.J.; et al. Cardiac progenitor cells from adult myocardium: homing, differentiation, and fusion after infarction. Proc. Natl. Acad. Sci. U.S.A. 2003, 100, 12313–12318. [Google Scholar] [CrossRef] [PubMed]
  133. Laugwitz, K.L.; Moretti, A.; Lam, J.; Gruber, P.; Chen, Y.; Woodard, S.; Lin, L.Z.; Cai, C.L.; Lu, M.M.; Reth, M.; et al. Postnatal isl1+ cardioblasts enter fully differentiated cardiomyocyte lineages. Nature 2005, 433, 647–653. [Google Scholar] [CrossRef] [PubMed]
  134. Hosoda, T.; D’Amario, D.; Cabral-da-Silva, M.C.; Zheng, H.; Padin-Iruegas, M.E.; Ogórek, B.; Ferreira-Martins, J.; Yasuzawa-Amano, S.; Amano, K.; Ide-Iwata, N.; et al. Clonality of mouse and human cardiomyogenesis in vivo. Proc. Natl. Acad. Sci. U.S.A. 2009, 106, 17169–17174. [Google Scholar] [CrossRef] [PubMed]
  135. Sluijter, J.P.G.; van Mil, A.; van Vliet, P.; Metz, C.H.G.; Liu, J.; Doevendans, P.A.; Goumans, M.J. MicroRNA-1 and -499 regulate differentiation and proliferation in human-derived cardiomyocyte progenitor cells. Arterioscler. Thromb. Vasc. Biol. 2010, 30, 859–868. [Google Scholar] [CrossRef] [PubMed]
  136. Sirish, P.; López, J.E.; Li, N.; Wong, A.; Timofeyev, V.; Young, J.N.; Majdi, M.; Li, R.A.; Chen, H.S.V.; Chiamvimonvat, N. MicroRNA profiling predicts a variance in the proliferative potential of cardiac progenitor cells derived from neonatal and adult murine hearts. J. Mol. Cell. Cardiol. 2012, 52, 264–272. [Google Scholar] [CrossRef] [PubMed]
  137. Bras-Rosario, L.; Matsuda, A.; Pinheiro, A.I.; Gardner, R.; Lopes, T.; Amaral, A.; Gama-Carvalho, M. Expression Profile of microRNAs Regulating Proliferation and Differentiation in Mouse Adult Cardiac Stem Cells. PLoS One 2013, 8, e63041. [Google Scholar] [CrossRef] [PubMed]
  138. Gonzalez, A.; Rota, M.; Nurzynska, D.; Misao, Y.; Tillmanns, J.; Ojaimi, C.; Padin-Iruegas, M.E.; Müller, P.; Esposito, G.; Bearzi, C.; et al. Activation of cardiac progenitor cells reverses the failing heart senescent phenotype and prolongs lifespan. Circ. Res. 2008, 102, 597–606. [Google Scholar] [CrossRef] [PubMed]
  139. Hosoda, T.; Zheng, H.; Cabral-da-Silva, M.; Sanada, F.; Ide-Iwata, N.; Ogórek, B.; Ferreira-Martins, J.; Arranto, C.; D’Amario, D.; del Monte, F.; et al. Human Cardiac Stem Cell Differentiation Is Regulated by a Mircrine Mechanism. Circulation 2011, 123, 1287–1296. [Google Scholar] [CrossRef] [PubMed]
  140. Andersen, D.C.; Ganesalingam, S.; Jensen, C.H.; Sheikh, S.P. Do neonatal mouse hearts regenerate following heart apex resection? Stem Cell Reports 2014, 2, 406–413. [Google Scholar] [CrossRef]
  141. Kotlikoff, M.I.; Hesse, M.; Fleischmann, B.K. Comment on “Do Neonatal Mouse Hearts Regenerate following Heart Apex Resection”? Stem Cell Reports 2014, 3, 2. [Google Scholar] [CrossRef]
  142. Sadek, H.A.; Martin, J.F.; Takeuchi, J.K.; Leor, J.; Nei, Y.; Giacca, M.; Lee, R.T. Multi-investigator letter on reproducibility of neonatal heart regeneration following apical resection. Stem Cell Reports 2014, 3, 1. [Google Scholar] [CrossRef]
  143. Porrello, E.R.; Mahmoud, A.I.; Simpson, E.; Johnson, B.A.; Grinsfelder, D.; Canseco, D.; Mammen, P.P.; Rothermel, B.A.; Olson, E.N.; Sadek, H.A. Regulation of neonatal and adult mammalian heart regeneration by the miR-15 family. Proc. Natl. Acad. Sci. USA. 2013, 110, 187–192. [Google Scholar] [CrossRef] [PubMed]
  144. Eulalio, A.; Mano, M.; Ferro, M.D.; Zentilin, L.; Sinagra, G.; Zacchigna, S.; Giacca, M. Functional screening identifies miRNAs inducing cardiac regeneration. Nature 2012, 492, 376–381. [Google Scholar] [CrossRef] [PubMed]
  145. Ausoni, S.; Sartore, S. From fish to amphibians to mammals: in search of novel strategies to optimize cardiac regeneration. J. Cell Biol. 2009, 184, 357–364. [Google Scholar] [CrossRef] [PubMed]
  146. Poss, K.D.; Wilson, L.G.; Keating, M.T. Heart regeneration in zebrafish. Science 2002, 298, 2188–2190. [Google Scholar] [CrossRef] [PubMed]
  147. Poss, K.D. Getting to the heart of regeneration in zebrafish. Semin. Cell Dev. Biol. 2007, 18, 36–45. [Google Scholar] [CrossRef] [PubMed]
  148. Van Rooij, E.; Sutherland, L.B.; Thatcher, J.E.; DiMaio, J.M.; Naseem, R.H.; Marshall, W.S.; Hill, J.A.; Olson, E.N. Dysregulation of microRNAs after myocardial infarction reveals a role of miR-29 in cardiac fibrosis. Proc. Natl. Acad. Sci. U.S.A. 2008, 105, 13027–13032. [Google Scholar] [CrossRef] [PubMed]
  149. Thum, T.; Gross, C.; Fiedler, J.; Fischer, T.; Kissler, S.; Bussen, M.; Galuppo, P.; Just, S.; Rottbauer, W.; Frantz, S.; et al. MicroRNA-21 contributes to myocardial disease by stimulating MAP kinase signalling in fibroblasts. Nature 2008, 456, 980–984. [Google Scholar] [CrossRef] [PubMed]
  150. Roy, S.; Khanna, S.; Hussain, S.R.A.; Biswas, S.; Azad, A.; Rink, C.; Gnyawali, S.; Shilo, S.; Nuovo, G.J.; Sen, C.K. MicroRNA expression in response to murine myocardial infarction: miR-21 regulates fibroblast metalloprotease-2 via phosphatase and tensin homologue. Cardiovasc. Res. 2009, 82, 21–29. [Google Scholar] [CrossRef] [PubMed]
  151. Patrick, D.M.; Montgomery, R.L.; Qi, X.; Obad, S.; Kauppinen, S.; Hill, J.A.; van Rooij, E.; Olson, E.N. Stress-dependent cardiac remodeling occurs in the absence of microRNA-21 in mice. J. Clin. Invest. 2010, 120, 3912–3916. [Google Scholar] [CrossRef] [PubMed]
  152. Song, K.; Nam, Y.J.; Luo, X.; Qi, X.; Tan, W.; Huang, G.N.; Acharya, A.; Smith, C.L.; Tallquist, M.D.; Neilson, E.G.; et al. Heart repair by reprogramming non-myocytes with cardiac transcription factors. Nature 2012, 485, 599–604. [Google Scholar] [CrossRef] [PubMed]
  153. Qian, L.; Huang, Y.; Spencer, C.I.; Foley, A.; Vedantham, V.; Liu, L.; Conway, S.J.; Fu, J.D.; Srivastava, D. In vivo reprogramming of murine cardiac fibroblasts into induced cardiomyocytes. Nature 2012, 485, 593–598. [Google Scholar] [CrossRef] [PubMed]
  154. Xu, H.; Yi, B.A.; Chien, K.R. In vivo reprogramming for heart disease. Cell Res. 2012, 22, 1521–1523. [Google Scholar] [CrossRef] [PubMed]
  155. Zhang, R.; Han, P.; Yang, H.; Ouyang, K.; Lee, D.; Lin, Y.F.; Ocorr, K.; Kang, G.; Chen, J.; Stainier, D.Y.R.; et al. In vivo cardiac reprogramming contributes to zebrafish heart regeneration. Nature 2013, 498, 497–501. [Google Scholar] [CrossRef] [PubMed]
  156. Ieda, M.; Fu, J.D.; Delgado-Olguin, P.; Vedantham, V.; Hayashi, Y.; Bruneau, B.G.; Srivastava, D. Direct Reprogramming of Fibroblasts into Functional Cardiomyocytes by Defined Factors. Cell 2010, 142, 375–386. [Google Scholar] [CrossRef] [PubMed]

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MDPI and ACS Style

Gama-Carvalho, M.; Andrade, J.; Brás-Rosário, L. Regulation of Cardiac Cell Fate by microRNAs: Implications for Heart Regeneration. Cells 2014, 3, 996-1026. https://doi.org/10.3390/cells3040996

AMA Style

Gama-Carvalho M, Andrade J, Brás-Rosário L. Regulation of Cardiac Cell Fate by microRNAs: Implications for Heart Regeneration. Cells. 2014; 3(4):996-1026. https://doi.org/10.3390/cells3040996

Chicago/Turabian Style

Gama-Carvalho, Margarida, Jorge Andrade, and Luis Brás-Rosário. 2014. "Regulation of Cardiac Cell Fate by microRNAs: Implications for Heart Regeneration" Cells 3, no. 4: 996-1026. https://doi.org/10.3390/cells3040996

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