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Correlated fluctuations carry signatures of gene regulatory network dynamics

Correlated fluctuations carry signatures of gene regulatory network dynamics
Correlated fluctuations carry signatures of gene regulatory network dynamics
The dynamics of transcriptional control involve small numbers of molecules and result in significant fluctuations in protein and mRNA concentrations. The correlations between these intrinsic fluctuations then offer, via the fluctuation dissipation relation, the possibility of capturing the system's response to external perturbations, and hence the nature of the regulatory activity itself. We show that for simple regulatory networks of activators and repressors, the correlated fluctuations between molecular species show distinct characteristics for changes in regulatory mechanism and for changes to the topology of causal influence. Here, we do a stochastic analysis and derive time-dependent correlation functions between molecular species of regulatory networks and present analytical and numerical results on peaks and delays in correlations between proteins within networks. Upon using these values of peaks and delays as a 2-dimensional feature space, we find that different regulatory mechanisms separate into distinct clusters. This indicates that experimentally observable pairwise correlations can distinguish between gene regulatory networks.
transcriptional regulation, gene regulatory networks, correlated fluctuations, fluctuation-dissipation relations, master equation
0022-5193
343-357
Pakka, Vijayanarasimha
61abd4a3-b3a2-4da3-b273-d280b0d3d943
Prugel-Bennett, Adam
b107a151-1751-4d8b-b8db-2c395ac4e14e
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Pakka, Vijayanarasimha
61abd4a3-b3a2-4da3-b273-d280b0d3d943
Prugel-Bennett, Adam
b107a151-1751-4d8b-b8db-2c395ac4e14e
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698

Pakka, Vijayanarasimha, Prugel-Bennett, Adam and Dasmahapatra, Srinandan (2010) Correlated fluctuations carry signatures of gene regulatory network dynamics. Journal of Theoretical Biology, 266 (3), 343-357. (doi:10.1016/j.jtbi.2010.06.039). (PMID:20619272)

Record type: Article

Abstract

The dynamics of transcriptional control involve small numbers of molecules and result in significant fluctuations in protein and mRNA concentrations. The correlations between these intrinsic fluctuations then offer, via the fluctuation dissipation relation, the possibility of capturing the system's response to external perturbations, and hence the nature of the regulatory activity itself. We show that for simple regulatory networks of activators and repressors, the correlated fluctuations between molecular species show distinct characteristics for changes in regulatory mechanism and for changes to the topology of causal influence. Here, we do a stochastic analysis and derive time-dependent correlation functions between molecular species of regulatory networks and present analytical and numerical results on peaks and delays in correlations between proteins within networks. Upon using these values of peaks and delays as a 2-dimensional feature space, we find that different regulatory mechanisms separate into distinct clusters. This indicates that experimentally observable pairwise correlations can distinguish between gene regulatory networks.

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More information

e-pub ahead of print date: 7 July 2010
Published date: 7 October 2010
Keywords: transcriptional regulation, gene regulatory networks, correlated fluctuations, fluctuation-dissipation relations, master equation
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 271173
URI: http://eprints.soton.ac.uk/id/eprint/271173
ISSN: 0022-5193
PURE UUID: 5ac1b8aa-f62e-4b6f-9f9c-fb3fcd432926

Catalogue record

Date deposited: 26 May 2010 09:31
Last modified: 14 Mar 2024 09:24

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Contributors

Author: Vijayanarasimha Pakka
Author: Adam Prugel-Bennett
Author: Srinandan Dasmahapatra

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