Literature DB >> 16822040

The effect of negative feedback on noise propagation in transcriptional gene networks.

Sara Hooshangi1, Ron Weiss.   

Abstract

This paper analyzes how the delay and repression strength of negative feedback in single-gene and multigene transcriptional networks influences intrinsic noise propagation and oscillatory behavior. We simulate a variety of transcriptional networks using a stochastic model and report two main findings. First, intrinsic noise is not attenuated by the addition of negative or positive feedback to transcriptional cascades. Second, for multigene negative feedback networks, synchrony in oscillations among a cell population can be improved by increasing network depth and tightening the regulation at one of the repression stages. Our long term goal is to understand how the noise characteristics of complex networks can be derived from the properties of modules that are used to compose these networks.

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Year:  2006        PMID: 16822040     DOI: 10.1063/1.2208927

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  38 in total

1.  Regulation of oscillation dynamics in biochemical systems with dual negative feedback loops.

Authors:  Lan K Nguyen
Journal:  J R Soc Interface       Date:  2012-03-14       Impact factor: 4.118

2.  Architecture-dependent robustness and bistability in a class of genetic circuits.

Authors:  Jiajun Zhang; Zhanjiang Yuan; Han-Xiong Li; Tianshou Zhou
Journal:  Biophys J       Date:  2010-08-09       Impact factor: 4.033

3.  Counter-intuitive stochastic behavior of simple gene circuits with negative feedback.

Authors:  Tatiana T Marquez-Lago; Jörg Stelling
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

4.  Design of regulation and dynamics in simple biochemical pathways.

Authors:  Ram Rup Sarkar; R Maithreye; Somdatta Sinha
Journal:  J Math Biol       Date:  2010-10-19       Impact factor: 2.259

5.  Stochastic fluctuations in metabolic pathways.

Authors:  Erel Levine; Terence Hwa
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-18       Impact factor: 11.205

6.  A connector of two-component regulatory systems promotes signal amplification and persistence of expression.

Authors:  Akinori Kato; Alexander Y Mitrophanov; Eduardo A Groisman
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-05       Impact factor: 11.205

7.  Optimal feedback strength for noise suppression in autoregulatory gene networks.

Authors:  Abhyudai Singh; Joao P Hespanha
Journal:  Biophys J       Date:  2009-05-20       Impact factor: 4.033

8.  Using noise to probe and characterize gene circuits.

Authors:  Chris D Cox; James M McCollum; Michael S Allen; Roy D Dar; Michael L Simpson
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-31       Impact factor: 11.205

9.  A critical quantity for noise attenuation in feedback systems.

Authors:  Liming Wang; Jack Xin; Qing Nie
Journal:  PLoS Comput Biol       Date:  2010-04-29       Impact factor: 4.475

10.  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

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