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Open AccessJournal ArticleDOI

Myogenic factors that regulate expression of muscle-specific microRNAs

TLDR
This work suggests that induction of these microRNAs is important in regulating the expression of muscle-specific proteins, and demonstrates that the myogenic factors Myogenin and MyoD bind to regions upstream of thesemicroRNAs and are likely to regulate their expression.
Abstract
Since their discovery as key regulators of early animal development, microRNAs now are recognized as widespread regulators of gene expression. Despite their abundance, little is known regarding the regulation of microRNA biogenesis. We show that three highly conserved muscle-specific microRNAs, miR-1, miR-133 and miR-206, are robustly induced during the myoblast-myotube transition, both in primary human myoblasts and in the mouse mesenchymal C2C12 stem cell line. These microRNAs were not induced during osteogenic conversion of C2C12 cells. Moreover, both loci encoding miR-1, miR-1-1, and miR-1-2, and two of the three encoding miR-133, miR-133a-1 and miR-133a-2, are strongly induced during myogenesis. Some of the induced microRNAs are in intergenic regions, whereas two are transcribed in the opposite direction to the nonmuscle-specific gene in which they are embedded. By using CHIP analysis, we demonstrate that the myogenic factors Myogenin and MyoD bind to regions upstream of these microRNAs and, therefore, are likely to regulate their expression. Because miR-1 and miR-206 are predicted to repress similar mRNA targets, our work suggests that induction of these microRNAs is important in regulating the expression of muscle-specific proteins.

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Journal ArticleDOI

Biogenesis of small RNAs in animals.

TL;DR: This Review summarizes the current knowledge of how these intriguing molecules are generated in animal cells.
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A Long Noncoding RNA Controls Muscle Differentiation by Functioning as a Competing Endogenous RNA

TL;DR: It is demonstrated that linc-MD1 exerts the same control over differentiation timing in human myoblasts, and that its levels are strongly reduced in Duchenne muscle cells, indicating that the ceRNA network plays an important role in muscle differentiation.
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Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis

TL;DR: It is demonstrated that microRNAs (miRNAs) are important components of the p53 transcriptional network and miR-34a-responsive genes are highly enriched for those that regulate cell-cycle progression, apoptosis, DNA repair, and angiogenesis.
Journal ArticleDOI

The evolution of gene regulation by transcription factors and microRNAs

TL;DR: This work proposes a simple model that describes the transcriptional regulation of new microRNAs, a large class of small, non-coding RNAs in plants and animals, focusing on the evolution of the individual regulators and their binding sites.
References
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Journal ArticleDOI

MicroRNAs: Genomics, Biogenesis, Mechanism, and Function

TL;DR: Although they escaped notice until relatively recently, miRNAs comprise one of the more abundant classes of gene regulatory molecules in multicellular organisms and likely influence the output of many protein-coding genes.
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The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14

TL;DR: Two small lin-4 transcripts of approximately 22 and 61 nt were identified in C. elegans and found to contain sequences complementary to a repeated sequence element in the 3' untranslated region (UTR) of lin-14 mRNA, suggesting that lin- 4 regulates lin- 14 translation via an antisense RNA-RNA interaction.
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Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets

TL;DR: In a four-genome analysis of 3' UTRs, approximately 13,000 regulatory relationships were detected above the estimate of false-positive predictions, thereby implicating as miRNA targets more than 5300 human genes, which represented 30% of the gene set.
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The functions of animal microRNAs

TL;DR: Evidence is mounting that animal miRNAs are more numerous, and their regulatory impact more pervasive, than was previously suspected.
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MicroRNA expression profiles classify human cancers

TL;DR: A new, bead-based flow cytometric miRNA expression profiling method is used to present a systematic expression analysis of 217 mammalian miRNAs from 334 samples, including multiple human cancers, and finds the miRNA profiles are surprisingly informative, reflecting the developmental lineage and differentiation state of the tumours.
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