Correlated fluctuations probe dynamics of transcriptional regulation
Correlated fluctuations probe dynamics of transcriptional regulation
The dynamics of transcriptional control involves 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 study time-dependent noise correlations in simple networks of activators and repressors, varying the topology of causal influence, and using different mechanisms or parameter choices. The distinct correlated fluctuations could be used as signatures for mechanism identification. To that end, we present analytical and numerical results on peaks and delays in correlations between proteins within networks, and the dependence of these features on parameter and mechanism.
Pakka, Vijayanarasimha
61abd4a3-b3a2-4da3-b273-d280b0d3d943
Prugel-Bennett, Adam
b107a151-1751-4d8b-b8db-2c395ac4e14e
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
2009
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
(2009)
Correlated fluctuations probe dynamics of transcriptional regulation.
Sixth International Workshop on Computational Systems Biology, WCSB 2009, Aarhus, Denmark.
10 - 12 Jun 2009.
Record type:
Conference or Workshop Item
(Poster)
Abstract
The dynamics of transcriptional control involves 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 study time-dependent noise correlations in simple networks of activators and repressors, varying the topology of causal influence, and using different mechanisms or parameter choices. The distinct correlated fluctuations could be used as signatures for mechanism identification. To that end, we present analytical and numerical results on peaks and delays in correlations between proteins within networks, and the dependence of these features on parameter and mechanism.
Text
wcsb09-pakka-etal.pdf
- Accepted Manuscript
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Published date: 2009
Additional Information:
Event Dates: June 10-12, 2009
Venue - Dates:
Sixth International Workshop on Computational Systems Biology, WCSB 2009, Aarhus, Denmark, 2009-06-10 - 2009-06-12
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 267356
URI: http://eprints.soton.ac.uk/id/eprint/267356
PURE UUID: f45d85e5-5014-4df9-9e35-951f6031c31b
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Date deposited: 12 May 2009 11:18
Last modified: 14 Mar 2024 08:48
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Contributors
Author:
Vijayanarasimha Pakka
Author:
Adam Prugel-Bennett
Author:
Srinandan Dasmahapatra
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