Single-cell Transcriptomes Reveal Characteristics of MicroRNAs in Gene Expression Noise Reduction.

ABSTRACT: Isogenic cells growing in identical environments show cell-to-cell variations because of the stochasticity in gene expression. High levels of variation or noise can disrupt robust gene expression and result in tremendous consequences for cell behaviors. In this work, we showed evidence from single-cell RNA sequencing data analysis that microRNAs (miRNAs) can reduce gene expression noise at the mRNA level in mouse cells. We identified that the miRNA expression level, number of targets, target pool abundance, and miRNA-target interaction strength are the key features contributing to noise repression. miRNAs tend to work together in cooperative subnetworks to repress target noise synergistically in a cell type-specific manner. By building a physical model of post-transcriptional regulation an

SUBMITTER: Hu T 

PROVIDER: S-EPMC8864250 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature