Correlated fluctuations carry signatures of gene regulatory network dynamics


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).

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Description/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 systemís 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.

Item Type: Article
ISSNs: 0022-5193 (print)
1095-8541 (electronic)
Keywords: transcriptional regulation, gene regulatory networks, correlated fluctuations, fluctuation-dissipation relations, master equation
Subjects: Q Science > QA Mathematics > QA76 Computer software
Q Science > QH Natural history > QH426 Genetics
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 271173
Date Deposited: 26 May 2010 09:31
Last Modified: 27 Mar 2014 20:16
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/271173

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