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Ago2-Dependent Processing Allows miR-451 to Evade the Global MicroRNA Turnover Elicited during Erythropoiesis.

ABSTRACT: MicroRNAs (miRNAs) are sequentially processed by two RNase III enzymes, Drosha and Dicer. miR-451 is the only known miRNA whose processing bypasses Dicer and instead relies on the slicer activity of Argonaute-2 (Ago2). miR-451 is highly conserved in vertebrates and regulates erythrocyte maturation, where it becomes the most abundant miRNA. However, the basis for the non-canonical biogenesis of miR-451 is unclear. Here, we show that Ago2 is less efficient than Dicer in processing pre-miRNAs, but this deficit is overcome when miR-144 represses Dicer in a negative-feedback loop during erythropoiesis. Loss of miR-144-mediated Dicer repression in zebrafish embryos and human cells leads to increased canonical miRNA production and impaired miR-451 maturation. Overexpression of Ago2 rescues some of the defects of miR-451 processing. Thus, the evolution of Ago2-dependent processing allows miR-451 to circumvent the global repression of canonical miRNAs elicited, in part, by the miR-144 targeting of Dicer during erythropoiesis.

SUBMITTER: Kretov DA

PROVIDER: S-EPMC7201373 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundMicroRNAs (miRNAs) are small non-coding RNA molecules mediating the translational repression and degradation of target mRNAs in the cell. Mature miRNAs are used as a template by the RNA-induced silencing complex (RISC) to recognize the complementary mRNAs to be regulated. To discern further RISC functions, we analyzed the activities of two RISC proteins, AGO2 and GW182, in the MCF-7 human breast cancer cell line.MethodsWe performed three RIP-Chip experiments using either anti-AGO2 or anti-GW182 antibodies and compiled a data set made up of the miRNA and mRNA expression profiles of three samples for each experiment. Specifically, we analyzed the input sample, the immunoprecipitated fraction and the unbound sample resulting from the RIP experiment. We used the expression profile of the input sample to compute several variables, using formulae capable of integrating the information on miRNA binding sites, both in the 3'UTR and coding regions, with miRNA and mRNA expression level profiles. We compared immunoprecipitated vs unbound samples to determine the enriched or underrepresented genes in the immunoprecipitated fractions, independently for AGO2 and GW182 related samples.ResultsFor each of the two proteins, we trained and tested several support vector machine algorithms capable of distinguishing the enriched from the underrepresented genes that were experimentally detected. The most efficient algorithm for distinguishing the enriched genes in AGO2 immunoprecipitated samples was trained by using variables involving the number of binding sites in both the 3'UTR and coding region, integrated with the miRNA expression profile, as expected for miRNA targets. On the other hand, we found that the best variable for distinguishing the enriched genes in the GW182 immunoprecipitated samples was the length of the coding region.ConclusionsDue to the major role of GW182 in GW/P-bodies, our data suggests that the AGO2-GW182 RISC recruits genes based on miRNA binding sites in the 3'UTR and coding region, but only the longer mRNAs probably remain sequestered in GW/P-bodies, functioning as a repository for translationally silenced RNAs.

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Ago2-Dependent Processing Allows miR-451 to Evade the Global MicroRNA Turnover Elicited during Erythropoiesis.

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