Literature DB >> 23527780

Regulation of noise in gene expression.

Alvaro Sanchez1, Sandeep Choubey, Jane Kondev.   

Abstract

The biochemical processes leading to the synthesis of new proteins are random, as they typically involve a small number of diffusing molecules. They lead to fluctuations in the number of proteins in a single cell as a function of time and to cell-to-cell variability of protein abundances. These in turn can lead to phenotypic heterogeneity in a population of genetically identical cells. Phenotypic heterogeneity may have important consequences for the development of multicellular organisms and the fitness of bacterial colonies, raising the question of how it is regulated. Here we review the experimental evidence that transcriptional regulation affects noise in gene expression, and discuss how the noise strength is encoded in the architecture of the promoter region. We discuss how models based on specific molecular mechanisms of gene regulation can make experimentally testable predictions for how changes to the promoter architecture are reflected in gene expression noise.

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Year:  2013        PMID: 23527780     DOI: 10.1146/annurev-biophys-083012-130401

Source DB:  PubMed          Journal:  Annu Rev Biophys        ISSN: 1936-122X            Impact factor:   12.981


  56 in total

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7.  Promoter-mediated transcriptional dynamics.

Authors:  Jiajun Zhang; Tianshou Zhou
Journal:  Biophys J       Date:  2014-01-21       Impact factor: 4.033

8.  Noise and information transmission in promoters with multiple internal States.

Authors:  Georg Rieckh; Gašper Tkačik
Journal:  Biophys J       Date:  2014-03-04       Impact factor: 4.033

Review 9.  Functional roles of microbial cell-to-cell heterogeneity and emerging technologies for analysis and control.

Authors:  Nadia Maria Vieira Sampaio; Mary J Dunlop
Journal:  Curr Opin Microbiol       Date:  2020-09-09       Impact factor: 7.934

10.  An in vitro model of tumor heterogeneity resolves genetic, epigenetic, and stochastic sources of cell state variability.

Authors:  Corey E Hayford; Darren R Tyson; C Jack Robbins; Peter L Frick; Vito Quaranta; Leonard A Harris
Journal:  PLoS Biol       Date:  2021-06-01       Impact factor: 8.029

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