Literature DB >> 17026206

Signal detection, modularity, and the correlation between extrinsic and intrinsic noise in biochemical networks.

Sorin Tănase-Nicola1, Patrick B Warren, Pieter Rein ten Wolde.   

Abstract

We present an expression for the power spectrum of the output signal of a biochemical network, which reveals that the reactions that allow a network to detect biochemical signals, induce correlations between the extrinsic noise of the input signals and the intrinsic noise of the reactions that form the network. We show that anticorrelations between the extrinsic and intrinsic noise enhance the robustness of zero-order ultrasensitive networks to biochemical noise. We discuss the consequences for a modular description of noise transmission using the mitogen-activated protein kinase cascade.

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Year:  2006        PMID: 17026206     DOI: 10.1103/PhysRevLett.97.068102

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  41 in total

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6.  A stochastic spectral analysis of transcriptional regulatory cascades.

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Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-07       Impact factor: 11.205

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Journal:  Biophys J       Date:  2008-08-08       Impact factor: 4.033

8.  Signatures of combinatorial regulation in intrinsic biological noise.

Authors:  Aryeh Warmflash; Aaron R Dinner
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-03       Impact factor: 11.205

9.  Spectral solutions to stochastic models of gene expression with bursts and regulation.

Authors:  Andrew Mugler; Aleksandra M Walczak; Chris H Wiggins
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-10-20

10.  Optimizing information flow in small genetic networks.

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-09-29
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