Pakka, Vijayanarasimha, Prugel-Bennett, Adam and Dasmahapatra, Srinandan
Correlated fluctuations carry signatures of gene regulatory network dynamics
Journal of Theoretical Biology, 266, (3), . (doi:10.1016/j.jtbi.2010.06.039). (PMID:20619272).
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.
|Digital Object Identifier (DOI):
||transcriptional regulation, gene regulatory networks, correlated fluctuations, fluctuation-dissipation relations, master equation
||Southampton Wireless Group
|7 July 2010||e-pub ahead of print|
|7 October 2010||Published|
||26 May 2010 09:31
||17 Apr 2017 18:21
|Further Information:||Google Scholar|
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