Literature DB >> 16500958

Regulated degradation is a mechanism for suppressing stochastic fluctuations in gene regulatory networks.

Hana El-Samad1, Mustafa Khammash.   

Abstract

Cellular events that execute life programs are ordered and reproducible, despite the noise and randomness underlying their biochemical reactions. The identification of the processes that ensure this robust operation is essential not only to uncover the salient design principles in organisms, but also to forward-engineer reliable genetic networks for biotechnological and therapeutic purposes. The use of feedback for noise reduction has been suggested as a recurring motif in genetic networks. In this work, we show that regulated degradation of proteins implements a negative feedback loop that enhances robustness against stochastic fluctuations and cellular noise. The analysis is carried out in the context of the bacterial heat shock response where the tight control of the amount of heat shock proteins is achieved through an intricate architecture of feedback loops involving the sigma(32)-factor. The sigma(32) regulates the transcription of heat shock proteins under normal and stress conditions. An essential feature of the heat shock response is a feedback loop regulating the degradation of sigma(32). We investigate the noise-rejection properties of this loop, therefore illustrating our point in a biologically plausible example.

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Year:  2006        PMID: 16500958      PMCID: PMC1440756          DOI: 10.1529/biophysj.105.060491

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  22 in total

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Authors:  A Becskei; L Serrano
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2.  Robust perfect adaptation in bacterial chemotaxis through integral feedback control.

Authors:  T M Yi; Y Huang; M I Simon; J Doyle
Journal:  Proc Natl Acad Sci U S A       Date:  2000-04-25       Impact factor: 11.205

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Authors:  J Paulsson; M Ehrenberg
Journal:  Phys Rev Lett       Date:  2000-06-05       Impact factor: 9.161

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Authors:  D M Koepp; J W Harper; S J Elledge
Journal:  Cell       Date:  1999-05-14       Impact factor: 41.582

5.  Efficient attenuation of stochasticity in gene expression through post-transcriptional control.

Authors:  Peter S Swain
Journal:  J Mol Biol       Date:  2004-12-03       Impact factor: 5.469

6.  Surviving heat shock: control strategies for robustness and performance.

Authors:  H El-Samad; H Kurata; J C Doyle; C A Gross; M Khammash
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-24       Impact factor: 11.205

7.  Multiple homeostatic mechanisms in the control of P1 plasmid replication.

Authors:  Nilangshu Das; Majda Valjavec-Gratian; Ashish N Basuray; Richard A Fekete; Peter P Papp; Johan Paulsson; Dhruba K Chattoraj
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-11       Impact factor: 11.205

8.  Negative regulation of mutS and mutH repair gene expression by the Hfq and RpoS global regulators of Escherichia coli K-12.

Authors:  H C Tsui; G Feng; M E Winkler
Journal:  J Bacteriol       Date:  1997-12       Impact factor: 3.490

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Journal:  Trends Biochem Sci       Date:  1997-10       Impact factor: 13.807

Review 10.  Regulation and function of the p53 tumor suppressor protein.

Authors:  K M Ryan; A C Phillips; K H Vousden
Journal:  Curr Opin Cell Biol       Date:  2001-06       Impact factor: 8.382

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  21 in total

1.  Stochastic focusing coupled with negative feedback enables robust regulation in biochemical reaction networks.

Authors:  Andreas Milias-Argeitis; Stefan Engblom; Pavol Bauer; Mustafa Khammash
Journal:  J R Soc Interface       Date:  2015-12-06       Impact factor: 4.118

2.  Consequences of mRNA transport on stochastic variability in protein levels.

Authors:  Abhyudai Singh; Pavol Bokes
Journal:  Biophys J       Date:  2012-09-05       Impact factor: 4.033

3.  Decomposing noise in biochemical signaling systems highlights the role of protein degradation.

Authors:  Michał Komorowski; Jacek Miękisz; Michael P H Stumpf
Journal:  Biophys J       Date:  2013-04-16       Impact factor: 4.033

4.  Where is that noise coming from?

Authors:  Edward W J Wallace
Journal:  Biophys J       Date:  2013-04-16       Impact factor: 4.033

Review 5.  Stress-induced remodeling of the bacterial proteome.

Authors:  Monica S Guo; Carol A Gross
Journal:  Curr Biol       Date:  2014-05-19       Impact factor: 10.834

6.  Gene expression noise is affected differentially by feedback in burst frequency and burst size.

Authors:  Pavol Bokes; Abhyudai Singh
Journal:  J Math Biol       Date:  2016-09-24       Impact factor: 2.259

7.  Tuning and controlling gene expression noise in synthetic gene networks.

Authors:  Kevin F Murphy; Rhys M Adams; Xiao Wang; Gábor Balázsi; James J Collins
Journal:  Nucleic Acids Res       Date:  2010-03-08       Impact factor: 16.971

Review 8.  Convergence of molecular, modeling, and systems approaches for an understanding of the Escherichia coli heat shock response.

Authors:  Eric Guisbert; Takashi Yura; Virgil A Rhodius; Carol A Gross
Journal:  Microbiol Mol Biol Rev       Date:  2008-09       Impact factor: 11.056

9.  Noise management by molecular networks.

Authors:  Frank J Bruggeman; Nils Blüthgen; Hans V Westerhoff
Journal:  PLoS Comput Biol       Date:  2009-09-18       Impact factor: 4.475

10.  Response acceleration in post-translationally regulated genetic circuits.

Authors:  Alexander Y Mitrophanov; Eduardo A Groisman
Journal:  J Mol Biol       Date:  2009-11-20       Impact factor: 5.469

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