Literature DB >> 34433047

Characterizing microRNA-mediated modulation of gene expression noise and its effect on synthetic gene circuits.

Lei Wei1, Shuailin Li2, Pengcheng Zhang1, Tao Hu1, Michael Q Zhang3, Zhen Xie1, Xiaowo Wang4.   

Abstract

MicroRNAs (miRNAs) have been shown to modulate gene expression noise, but less is known about how miRNAs with different properties may regulate noise differently. Here, we investigate the role of competing RNAs and the composition of miRNA response elements (MREs) in modulating noise. We find that weak competing RNAs could introduce lower noise than strong competing RNAs. In comparison with a single MRE, both repetitive and composite MREs can reduce the noise at low expression, but repetitive MREs can elevate the noise remarkably at high expression. We further observed the behavior of a synthetic cell-type classifier with miRNAs as inputs and find that miRNAs and MREs that could introduce higher noise tend to enhance cell state transition. These results provide a systematic and quantitative understanding of the function of miRNAs in controlling gene expression noise and the utilization of miRNAs to modulate the behavior of synthetic gene circuits.
Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  competing RNA; competition; gene expression noise; microRNA; synthetic gene circuit

Mesh:

Substances:

Year:  2021        PMID: 34433047     DOI: 10.1016/j.celrep.2021.109573

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  4 in total

1.  Nonmodular oscillator and switch based on RNA decay drive regeneration of multimodal gene expression.

Authors:  Benjamin Nordick; Polly Y Yu; Guangyuan Liao; Tian Hong
Journal:  Nucleic Acids Res       Date:  2022-04-22       Impact factor: 19.160

Review 2.  Multistability in Macrophage Activation Pathways and Metabolic Implications.

Authors:  Carsten Geiß; Elvira Salas; Jose Guevara-Coto; Anne Régnier-Vigouroux; Rodrigo A Mora-Rodríguez
Journal:  Cells       Date:  2022-01-25       Impact factor: 6.600

3.  In silico and in vitro protocols for quantifying gene expression noise modulated by microRNAs.

Authors:  Lei Wei; Shuailin Li; Xiaowo Wang
Journal:  STAR Protoc       Date:  2022-02-26

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

Authors:  Tao Hu; Lei Wei; Shuailin Li; Tianrun Cheng; Xuegong Zhang; Xiaowo Wang
Journal:  Genomics Proteomics Bioinformatics       Date:  2021-10-01       Impact factor: 7.691

  4 in total

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