Literature DB >> 19843984

Physical limits of feedback noise-suppression in biological networks.

Jiajun Zhang1, Zhanjiang Yuan, Tianshou Zhou.   

Abstract

Feedback is a ubiquitous control mechanism of biological networks, and has also been identified in a variety of regulatory systems and organisms. It has been shown that, for a given gain and with negligible intrinsic noise, negative feedback impairs noise buffering whereas positive feedback enhances noise buffering. We further investigate the influence of negative and positive feedback on noise in output signals by considering both intrinsic and extrinsic noise as well as operator noise. We find that, while maintaining the system sensitivity, either there exists a minimum of the output noise intensity corresponding to a biologically feasible feedback strength, or the output noise intensity is a monotonic function of feedback strength bounded by both biological and dynamical constraints. In both cases, feedback noise-suppression is physically limited. In other words, noise suppressed by negative or positive feedback cannot be reduced without limitation even in the case of slow transcription.

Mesh:

Year:  2009        PMID: 19843984     DOI: 10.1088/1478-3975/6/4/046009

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  5 in total

1.  Interplay between intrinsic noise and the stochasticity of the cell cycle in bacterial colonies.

Authors:  Oriol Canela-Xandri; Francesc Sagués; Javier Buceta
Journal:  Biophys J       Date:  2010-06-02       Impact factor: 4.033

2.  External noise control in inherently stochastic biological systems.

Authors:  Likun Zheng; Meng Chen; Qing Nie
Journal:  J Math Phys       Date:  2012-11-05       Impact factor: 1.488

3.  An effective method for computing the noise in biochemical networks.

Authors:  Jiajun Zhang; Qing Nie; Miao He; Tianshou Zhou
Journal:  J Chem Phys       Date:  2013-02-28       Impact factor: 3.488

4.  Connecting core percolation and controllability of complex networks.

Authors:  Tao Jia; Márton Pósfai
Journal:  Sci Rep       Date:  2014-06-20       Impact factor: 4.379

5.  Adaptive Responses Limited by Intrinsic Noise.

Authors:  Prabhat Shankar; Masatoshi Nishikawa; Tatsuo Shibata
Journal:  PLoS One       Date:  2015-08-25       Impact factor: 3.240

  5 in total

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