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Nature communications
Mar 24, 2016;7 11099.

Regulation of cell-to-cell variability in divergent gene expression.

Chao Yan, Shuyang Wu, Christopher Pocetti, Lu Bai
Author Information
  1. Chao Yan: Department of Biochemistry and Molecular Biology, University Park, Pennsylvania 16802, USA.
  2. Shuyang Wu: Department of Biochemistry and Molecular Biology, University Park, Pennsylvania 16802, USA.
  3. Christopher Pocetti: Department of Physics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
  4. Lu Bai: Department of Biochemistry and Molecular Biology, University Park, Pennsylvania 16802, USA.
PMID: 27010670 DOI: 10.1038/ncomms11099

Abstract

Cell-to-cell variability (noise) is an important feature of gene expression that impacts cell fitness and development. The regulatory mechanism of this variability is not fully understood. Here we investigate the effect on gene expression noise in divergent gene pairs (DGPs). We generated reporters driven by divergent promoters, rearranged their gene order, and probed their expressions using time-lapse fluorescence microscopy and single-molecule fluorescence in situ hybridization (smFISH). We show that two genes in a co-regulated DGP have higher expression covariance compared with the separate, tandem and convergent configurations, and this higher covariance is caused by more synchronized firing of the divergent transcriptions. For differentially regulated DGPs, the regulatory signal of one gene can stochastically 'leak' to the other, causing increased gene expression noise. We propose that the DGPs' function in limiting or promoting gene expression noise may enhance or compromise cell fitness, providing an explanation for the conservation pattern of DGPs.

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Grants

  1. R01 GM118682/NIGMS NIH HHS

MeSH Term

Cell Cycle
Conserved Sequence
Evolution, Molecular
Gene Duplication
Gene Expression Profiling
Gene Expression Regulation, Fungal
Genome, Fungal
Heat-Shock Response
In Situ Hybridization, Fluorescence
Models, Genetic
Promoter Regions, Genetic
Saccharomyces cerevisiae
Stochastic Processes
Transcription, Genetic
Journal Article Research Support, Non-U.S. Gov't
Article has an altmetric score of 2

Word Cloud

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