Literature DB >> 15063755

Multiple feedback loops are key to a robust dynamic performance of tryptophan regulation in Escherichia coli.

K V Venkatesh1, Sharad Bhartiya, Anurag Ruhela.   

Abstract

Living systems must adapt quickly and stably to uncertain environments. A common theme in cellular regulation is the presence of multiple feedback loops in the network. An example of such a feedback structure is regulation of tryptophan concentration in Escherichia coli. Here, three distinct feedback mechanisms, namely genetic regulation, mRNA attenuation and enzyme inhibition, regulate tryptophan synthesis. A pertinent question is whether such multiple feedback loops are "a case of regulatory overkill, or do these different feedback regulators have distinct functions?" Another moot question is how robustness to uncertainties can be achieved structurally through biological interactions. Correlation between the feedback structure and robustness can be systematically studied by tools commonly employed in feedback theory. An analysis of feedback strategies in the tryptophan system in E. coli reveals that the network complexity arising due to the distributed feedback structure is responsible for the rapid and stable response observed even in the presence of system uncertainties.

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Year:  2004        PMID: 15063755     DOI: 10.1016/S0014-5793(04)00310-2

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  14 in total

1.  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

2.  Boolean dynamics of biological networks with multiple coupled feedback loops.

Authors:  Yung-Keun Kwon; Kwang-Hyun Cho
Journal:  Biophys J       Date:  2007-01-26       Impact factor: 4.033

3.  Coupled feedback loops form dynamic motifs of cellular networks.

Authors:  Jeong-Rae Kim; Yeoin Yoon; Kwang-Hyun Cho
Journal:  Biophys J       Date:  2007-10-19       Impact factor: 4.033

4.  The impact of time delays on the robustness of biological oscillators and the effect of bifurcations on the inverse problem.

Authors:  Nicole Radde
Journal:  EURASIP J Bioinform Syst Biol       Date:  2008-11-19

5.  Inhibition of steroid receptor coactivator-1 blocks estrogen and androgen action on male sex behavior and associated brain plasticity.

Authors:  Thierry D Charlier; Gregory F Ball; Jacques Balthazart
Journal:  J Neurosci       Date:  2005-01-26       Impact factor: 6.167

6.  Dynamic analysis of the KlGAL regulatory system in Kluyveromyces lactis: a comparative study with Saccharomyces cerevisiae.

Authors:  Venkat Reddy Pannala; K Y Ahammed Sherief; Sharad Bhartiya; K V Venkatesh
Journal:  Syst Synth Biol       Date:  2011-06-03

7.  An approach to evaluate the topological significance of motifs and other patterns in regulatory networks.

Authors:  Björn Goemann; Edgar Wingender; Anatolij P Potapov
Journal:  BMC Syst Biol       Date:  2009-05-19

8.  Regulation of metabolic networks by small molecule metabolites.

Authors:  Alex Gutteridge; Minoru Kanehisa; Susumu Goto
Journal:  BMC Bioinformatics       Date:  2007-03-13       Impact factor: 3.169

9.  Common dynamical features of sensory adaptation in photoreceptors and olfactory sensory neurons.

Authors:  Giovanna De Palo; Giuseppe Facchetti; Monica Mazzolini; Anna Menini; Vincent Torre; Claudio Altafini
Journal:  Sci Rep       Date:  2013-02-13       Impact factor: 4.379

10.  Analysis of feedback loops and robustness in network evolution based on Boolean models.

Authors:  Yung-Keun Kwon; Kwang-Hyun Cho
Journal:  BMC Bioinformatics       Date:  2007-11-07       Impact factor: 3.169

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