Literature DB >> 15668395

Surviving heat shock: control strategies for robustness and performance.

H El-Samad1, H Kurata, J C Doyle, C A Gross, M Khammash.   

Abstract

Molecular biology studies the cause-and-effect relationships among microscopic processes initiated by individual molecules within a cell and observes their macroscopic phenotypic effects on cells and organisms. These studies provide a wealth of information about the underlying networks and pathways responsible for the basic functionality and robustness of biological systems. At the same time, these studies create exciting opportunities for the development of quantitative and predictive models that connect the mechanism to its phenotype then examine various modular structures and the range of their dynamical behavior. The use of such models enables a deeper understanding of the design principles underlying biological organization and makes their reverse engineering and manipulation both possible and tractable The heat shock response presents an interesting mechanism where such an endeavor is possible. Using a model of heat shock, we extract the design motifs in the system and justify their existence in terms of various performance objectives. We also offer a modular decomposition that parallels that of traditional engineering control architectures.

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Year:  2005        PMID: 15668395      PMCID: PMC549435          DOI: 10.1073/pnas.0403510102

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  21 in total

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Authors:  L H Hartwell; J J Hopfield; S Leibler; A W Murray
Journal:  Nature       Date:  1999-12-02       Impact factor: 49.962

2.  Dynamic interplay between antagonistic pathways controlling the sigma 32 level in Escherichia coli.

Authors:  M T Morita; M Kanemori; H Yanagi; T Yura
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-23       Impact factor: 11.205

3.  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

4.  Protein complexes and functional modules in molecular networks.

Authors:  Victor Spirin; Leonid A Mirny
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-29       Impact factor: 11.205

5.  DnaK, DnaJ, and GrpE heat shock proteins negatively regulate heat shock gene expression by controlling the synthesis and stability of sigma 32.

Authors:  D Straus; W Walter; C A Gross
Journal:  Genes Dev       Date:  1990-12       Impact factor: 11.361

Review 6.  The heat shock response.

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Journal:  CRC Crit Rev Biochem       Date:  1985

7.  Heat-induced synthesis of sigma32 in Escherichia coli: structural and functional dissection of rpoH mRNA secondary structure.

Authors:  M Morita; M Kanemori; H Yanagi; T Yura
Journal:  J Bacteriol       Date:  1999-01       Impact factor: 3.490

Review 8.  Proteasomes: destruction as a programme.

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Journal:  Trends Biochem Sci       Date:  1996-03       Impact factor: 13.807

9.  Comparison of classical and autogenous systems of regulation in inducible operons.

Authors:  M A Savageau
Journal:  Nature       Date:  1974-12-13       Impact factor: 49.962

10.  Synergistic roles of HslVU and other ATP-dependent proteases in controlling in vivo turnover of sigma32 and abnormal proteins in Escherichia coli.

Authors:  M Kanemori; K Nishihara; H Yanagi; T Yura
Journal:  J Bacteriol       Date:  1997-12       Impact factor: 3.490

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  73 in total

1.  Task-oriented modular decomposition of biological networks: trigger mechanism in blood coagulation.

Authors:  Mikhail A Panteleev; Anna N Balandina; Elena N Lipets; Mikhail V Ovanesov; Fazoil I Ataullakhanov
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

Review 2.  Beyond the wiring diagram: signalling through complex neuromodulator networks.

Authors:  Vladimir Brezina
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-12       Impact factor: 6.237

3.  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

4.  Purification and biochemical characterization of DnaK and its transcriptional activator RpoH from Neisseria gonorrhoeae.

Authors:  Shalini Narayanan; Simone A Beckham; John K Davies; Anna Roujeinikova
Journal:  Mol Biol Rep       Date:  2014-08-26       Impact factor: 2.316

5.  Understanding biology by reverse engineering the control.

Authors:  Claire J Tomlin; Jeffrey D Axelrod
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-14       Impact factor: 11.205

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

Authors:  Hana El-Samad; Mustafa Khammash
Journal:  Biophys J       Date:  2006-02-24       Impact factor: 4.033

7.  Multiple feedback loop design in the tryptophan regulatory network of Escherichia coli suggests a paradigm for robust regulation of processes in series.

Authors:  Sharad Bhartiya; Nikhil Chaudhary; K V Venkatesh; Francis J Doyle
Journal:  J R Soc Interface       Date:  2006-06-22       Impact factor: 4.118

8.  Mathematical description of gene regulatory units.

Authors:  Reiko J Tanaka; Hiroyuki Okano; Hidenori Kimura
Journal:  Biophys J       Date:  2006-05-19       Impact factor: 4.033

Review 9.  Systems interface biology.

Authors:  Francis J Doyle; Jörg Stelling
Journal:  J R Soc Interface       Date:  2006-10-22       Impact factor: 4.118

10.  Identifying a static nonlinear structure in a biological system using noisy, sparse data.

Authors:  Joshua R Porter; John S Burg; Peter J Espenshade; Pablo A Iglesias
Journal:  J Theor Biol       Date:  2012-02-01       Impact factor: 2.691

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