Unknown

Dataset Information

Systemic CLIP-seq analysis and game theory approach to model microRNA mode of binding.


ABSTRACT: microRNAs (miRNAs) associate with Ago proteins to post-transcriptionally silence gene expression by targeting mRNAs. To characterize the modes of miRNA-binding, we developed a novel computational framework, called optiCLIP, which considers the reproducibility of the identified peaks among replicates based on the peak overlap. We identified 98 999 binding sites for mouse and human miRNAs, from eleven Ago2 CLIP-seq datasets. Clustering the binding preferences, we found heterogeneity of the mode of binding for different miRNAs. Finally, we set up a quantitative model, named miRgame, based on an adaptation of the game theory. We have developed a new algorithm to translate the miRgame into a score that corresponds to a miRNA degree of occupancy for each Ago2 peak. The degree of occupancy summar

SUBMITTER: Serra F 

PROVIDER: S-EPMC8216473 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature