Single-cell Transcriptomes Reveal Characteristics of MicroRNAs in Gene Expression Noise Reduction
Single-cell Transcriptomes Reveal Characteristics of MicroRNAs in Gene Expression Noise Reduction作者机构:Ministry of Education Key Laboratory of BioinformaticsCenter for Synthetic and Systems BiologyBioinformatics DivisionBeijing National Research Center for Information Science and TechnologyDepartment of AutomationTsinghua UniversityBeijing 100084China
出 版 物:《Genomics, Proteomics & Bioinformatics》 (基因组蛋白质组与生物信息学报(英文版))
年 卷 期:2021年第19卷第3期
页 面:394-407页
核心收录:
学科分类:0831[工学-生物医学工程(可授工学、理学、医学学位)] 0711[理学-系统科学] 07[理学] 08[工学]
基 金:This work has been supported by the National Science Foundation of China(Grant Nos.61773230 and 61721003) XZ is supported in part by the Chan Zuckerberg Initiative(CZI)Human Cell Atlas(HCA)project
主 题:MicroRNA regulation Gene expression noise Competing RNA microRNA regulation network Singlecell RNA sequencing
摘 要:Isogenic cells growing in identical environments show cell-to-cell variations because of the stochasticity in gene *** levels of variation or noise can disrupt robust gene expression and result in tremendous consequences for cell *** 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 *** identified that the miRNA expression level,number of targets,target pool abundance,and miRNA-target interaction strength are the key features contributing to noise *** tend to work together in cooperative subnetworks to repress target noise synergistically in a cell type-specific *** building a physical model of post-transcriptional regulation and observing in synthetic gene circuits,we demonstrated that accelerated degradation with elevated transcriptional activation of the miRNA target provides resistance to extrinsic ***,through the integrated analysis of single-cell RNA and miRNA expression profiles,we demonstrated that miRNAs are important post-transcriptional regulators for reducing gene expression noise and conferring robustness to biological processes.