New computational model for miRNA-mediated repression reveals novel regulatory roles of miRNA bindings inside the coding region

Abstract Motivation MicroRNAs (miRNAs) are short (∼24nt), non-coding RNAs, which downregulate gene expression in many species and physiological processes. Many details regarding the mechanism which governs miRNA-mediated repression continue to elude researchers. Results We elucidate the interplay be...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Bioinformatics (Oxford, England) England), 2021-04, Vol.36 (22-23), p.5398-5404
Hauptverfasser: Bergman, Shaked, Diament, Alon, Tuller, Tamir
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Abstract Motivation MicroRNAs (miRNAs) are short (∼24nt), non-coding RNAs, which downregulate gene expression in many species and physiological processes. Many details regarding the mechanism which governs miRNA-mediated repression continue to elude researchers. Results We elucidate the interplay between the coding sequence and the 3′UTR, by using elastic net regularization and incorporating translation-related features to predict miRNA-mediated repression. We find that miRNA binding sites at the end of the coding sequence contribute to repression, and that weak binding sites are linked to effective de-repression, possibly as a result of competing with stronger binding sites. Furthermore, we propose a recycling model for miRNAs dissociated from the open reading frame (ORF) by traversing ribosomes, explaining the observed link between increased ribosome density/traversal speed and increased repression. We uncover a novel layer of interaction between the coding sequence and the 3′UTR (untranslated region) and suggest the ORF has a larger role than previously thought in the mechanism of miRNA-mediated repression. Availability and implementation The code is freely available at https://github.com/aescrdni/miRNA_model. Supplementary information Supplementary data are available at Bioinformatics online.
ISSN:1367-4803
1367-4811
DOI:10.1093/bioinformatics/btaa1021