Literature DB >> 17477840

Living with noisy genes: how cells function reliably with inherent variability in gene expression.

Narendra Maheshri1, Erin K O'Shea.   

Abstract

Within a population of genetically identical cells there can be significant variation, or noise, in gene expression. Yet even with this inherent variability, cells function reliably. This review focuses on our understanding of noise at the level of both single genes and genetic regulatory networks, emphasizing comparisons between theoretical models and experimental results whenever possible. To highlight the importance of noise, we particularly emphasize examples in which a stochastic description of gene expression leads to a qualitatively different outcome than a deterministic one.

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Year:  2007        PMID: 17477840     DOI: 10.1146/annurev.biophys.36.040306.132705

Source DB:  PubMed          Journal:  Annu Rev Biophys Biomol Struct        ISSN: 1056-8700


  138 in total

1.  A common repressor pool results in indeterminacy of extrinsic noise.

Authors:  Michail Stamatakis; Rhys M Adams; Gábor Balázsi
Journal:  Chaos       Date:  2011-12       Impact factor: 3.642

Review 2.  The limits of brain determinacy.

Authors:  Peter G H Clarke
Journal:  Proc Biol Sci       Date:  2012-02-01       Impact factor: 5.349

3.  Bimodal gene expression in noncooperative regulatory systems.

Authors:  Anna Ochab-Marcinek; Marcin Tabaka
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-06       Impact factor: 11.205

4.  Quantifying negative feedback regulation by micro-RNAs.

Authors:  Shangying Wang; Sridhar Raghavachari
Journal:  Phys Biol       Date:  2011-08-10       Impact factor: 2.583

5.  Single-cell protein dynamics reproduce universal fluctuations in cell populations.

Authors:  Naama Brenner; Erez Braun; Anna Yoney; Lee Susman; James Rotella; Hanna Salman
Journal:  Eur Phys J E Soft Matter       Date:  2015-09-28       Impact factor: 1.890

6.  Dichotomous noise models of gene switches.

Authors:  Davit A Potoyan; Peter G Wolynes
Journal:  J Chem Phys       Date:  2015-11-21       Impact factor: 3.488

7.  Kinetics of genetic switching into the state of bacterial competence.

Authors:  Madeleine Leisner; Jan-Timm Kuhr; Joachim O Rädler; Erwin Frey; Berenike Maier
Journal:  Biophys J       Date:  2009-02       Impact factor: 4.033

8.  The mean frequency of transcriptional bursting and its variation in single cells.

Authors:  Moxun Tang
Journal:  J Math Biol       Date:  2009-03-10       Impact factor: 2.259

Review 9.  Stochastic modelling for quantitative description of heterogeneous biological systems.

Authors:  Darren J Wilkinson
Journal:  Nat Rev Genet       Date:  2009-02       Impact factor: 53.242

10.  Efficient stochastic simulation of chemical kinetics networks using a weighted ensemble of trajectories.

Authors:  Rory M Donovan; Andrew J Sedgewick; James R Faeder; Daniel M Zuckerman
Journal:  J Chem Phys       Date:  2013-09-21       Impact factor: 3.488

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