Role of relaxation time scale in noisy signal transduction.

Intra-cellular fluctuations, mainly triggered by gene expression, are an inevitable phenomenon observed in living cells. It influences generation of phenotypic diversity in genetically identical cells. Such variation of cellular components is beneficial in some contexts but detrimental in others. To...

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Main Authors: Alok Kumar Maity, Pinaki Chaudhury, Suman K Banik
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4425683?pdf=render
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spelling doaj-82e38659d4bd4e188deff91739f8ab452020-11-25T02:47:36ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01105e012324210.1371/journal.pone.0123242Role of relaxation time scale in noisy signal transduction.Alok Kumar MaityPinaki ChaudhurySuman K BanikIntra-cellular fluctuations, mainly triggered by gene expression, are an inevitable phenomenon observed in living cells. It influences generation of phenotypic diversity in genetically identical cells. Such variation of cellular components is beneficial in some contexts but detrimental in others. To quantify the fluctuations in a gene product, we undertake an analytical scheme for studying few naturally abundant linear as well as branched chain network motifs. We solve the Langevin equations associated with each motif under the purview of linear noise approximation and derive the expressions for Fano factor and mutual information in close analytical form. Both quantifiable expressions exclusively depend on the relaxation time (decay rate constant) and steady state population of the network components. We investigate the effect of relaxation time constraints on Fano factor and mutual information to indentify a time scale domain where a network can recognize the fluctuations associated with the input signal more reliably. We also show how input population affects both quantities. We extend our calculation to long chain linear motif and show that with increasing chain length, the Fano factor value increases but the mutual information processing capability decreases. In this type of motif, the intermediate components act as a noise filter that tune up input fluctuations and maintain optimum fluctuations in the output. For branched chain motifs, both quantities vary within a large scale due to their network architecture and facilitate survival of living system in diverse environmental conditions.http://europepmc.org/articles/PMC4425683?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Alok Kumar Maity
Pinaki Chaudhury
Suman K Banik
spellingShingle Alok Kumar Maity
Pinaki Chaudhury
Suman K Banik
Role of relaxation time scale in noisy signal transduction.
PLoS ONE
author_facet Alok Kumar Maity
Pinaki Chaudhury
Suman K Banik
author_sort Alok Kumar Maity
title Role of relaxation time scale in noisy signal transduction.
title_short Role of relaxation time scale in noisy signal transduction.
title_full Role of relaxation time scale in noisy signal transduction.
title_fullStr Role of relaxation time scale in noisy signal transduction.
title_full_unstemmed Role of relaxation time scale in noisy signal transduction.
title_sort role of relaxation time scale in noisy signal transduction.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description Intra-cellular fluctuations, mainly triggered by gene expression, are an inevitable phenomenon observed in living cells. It influences generation of phenotypic diversity in genetically identical cells. Such variation of cellular components is beneficial in some contexts but detrimental in others. To quantify the fluctuations in a gene product, we undertake an analytical scheme for studying few naturally abundant linear as well as branched chain network motifs. We solve the Langevin equations associated with each motif under the purview of linear noise approximation and derive the expressions for Fano factor and mutual information in close analytical form. Both quantifiable expressions exclusively depend on the relaxation time (decay rate constant) and steady state population of the network components. We investigate the effect of relaxation time constraints on Fano factor and mutual information to indentify a time scale domain where a network can recognize the fluctuations associated with the input signal more reliably. We also show how input population affects both quantities. We extend our calculation to long chain linear motif and show that with increasing chain length, the Fano factor value increases but the mutual information processing capability decreases. In this type of motif, the intermediate components act as a noise filter that tune up input fluctuations and maintain optimum fluctuations in the output. For branched chain motifs, both quantities vary within a large scale due to their network architecture and facilitate survival of living system in diverse environmental conditions.
url http://europepmc.org/articles/PMC4425683?pdf=render
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AT pinakichaudhury roleofrelaxationtimescaleinnoisysignaltransduction
AT sumankbanik roleofrelaxationtimescaleinnoisysignaltransduction
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