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MicroRNAs Reinforce Repression of PRC2 Transcriptional Targets Independently and Through a Feed-forward Regulatory Network

Overview
Journal Genome Res
Specialty Genetics
Date 2019 Jan 18
PMID 30651280
Citations 12
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Abstract

Gene expression can be regulated at multiple levels, but it is not known if and how there is broad coordination between regulation at the transcriptional and post-transcriptional levels. Transcription factors and chromatin regulate gene expression transcriptionally, whereas microRNAs (miRNAs) are small regulatory RNAs that function post-transcriptionally. Systematically identifying the post-transcriptional targets of miRNAs and the mechanism of transcriptional regulation of the same targets can shed light on regulatory networks connecting transcriptional and post-transcriptional control. We used individual-nucleotide resolution UV crosslinking and immunoprecipitation (iCLIP) for the RNA-induced silencing complex (RISC) component AGO2 and global miRNA depletion to identify genes directly targeted by miRNAs. We found that Polycomb repressive complex 2 (PRC2) and its associated histone mark, H3K27me3, is enriched at hundreds of miRNA-repressed genes. We show that these genes are directly repressed by PRC2 and constitute a significant proportion of direct PRC2 targets. For just over half of the genes corepressed by PRC2 and miRNAs, PRC2 promotes their miRNA-mediated repression by increasing expression of the miRNAs that are likely to target them. miRNAs also repress the remainder of the PRC2 target genes, but independently of PRC2. Thus, miRNAs post-transcriptionally reinforce silencing of PRC2-repressed genes that are inefficiently repressed at the level of chromatin, by either forming a feed-forward regulatory network with PRC2 or repressing them independently of PRC2.

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References
1.
Livak K, Schmittgen T . Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2002; 25(4):402-8. DOI: 10.1006/meth.2001.1262. View

2.
Pasini D, Bracken A, Jensen M, Denchi E, Helin K . Suz12 is essential for mouse development and for EZH2 histone methyltransferase activity. EMBO J. 2004; 23(20):4061-71. PMC: 524339. DOI: 10.1038/sj.emboj.7600402. View

3.
ODonnell K, Wentzel E, Zeller K, Dang C, Mendell J . c-Myc-regulated microRNAs modulate E2F1 expression. Nature. 2005; 435(7043):839-43. DOI: 10.1038/nature03677. View

4.
Farh K, Grimson A, Jan C, Lewis B, Johnston W, Lim L . The widespread impact of mammalian MicroRNAs on mRNA repression and evolution. Science. 2005; 310(5755):1817-21. DOI: 10.1126/science.1121158. View

5.
Tsang J, Zhu J, van Oudenaarden A . MicroRNA-mediated feedback and feedforward loops are recurrent network motifs in mammals. Mol Cell. 2007; 26(5):753-67. PMC: 2072999. DOI: 10.1016/j.molcel.2007.05.018. View