Identification of competing endogenous RNAs of the tumor suppressor gene PTEN: A probabilistic approach.

ABSTRACT: Regulation by microRNAs (miRNAs) and modulation of miRNA activity are critical components of diverse cellular processes. Recent research has shown that miRNA-based regulation of the tumor suppressor gene PTEN can be modulated by the expression of other miRNA targets acting as competing endogenous RNAs (ceRNAs). However, the key sequence-based features enabling a transcript to act as an effective ceRNA are not well understood and a quantitative model associating statistical significance to such features is currently lacking. To identify and assess features characterizing target recognition by PTEN-regulating miRNAs, we analyze multiple datasets from PAR-CLIP experiments in conjunction with RNA-Seq data. We consider a set of miRNAs known to regulate PTEN and identify high-confidence binding

SUBMITTER: Zarringhalam K 

PROVIDER: S-EPMC5552881 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature