DocumentCode :
3487328
Title :
Stochastic analysis of retroactivity in transcriptional networks through singular perturbation
Author :
Ghaemi, R. ; Del Vecchio, Domitilla
Author_Institution :
Dept. of Mech. Eng., MIT, Cambridge, MA, USA
fYear :
2012
fDate :
27-29 June 2012
Firstpage :
2731
Lastpage :
2736
Abstract :
The input/output dynamic behavior of a biomolecular system is affected by interconnection to other downstream systems through impedance-like effects called retroactivity. In this paper, we study the effects of retroactivity at the interconnection between two transcriptional modules, focusing on stochastic behavior. In particular, we describe the system through the Master equation and develop a singular perturbation theory to obtain a reduced Master equation. We prove that the solution of the original Master equation converges fast to an e neighbor of the solution of the reduced Master equation, in which e is the singular perturbation parameter. Our analysis shows that the upstream system and the downstream one are statistically independent at the steady state. However, the interconnection slows down the dynamics of both the expectation and the variance of the output of the upstream transcriptional module.
Keywords :
biology; master equation; molecular biophysics; singularly perturbed systems; stochastic processes; biomolecular system; downstream system; impedance-like effects; input-output dynamic behavior; reduced master equation; retroactivity; singular perturbation parameter; singular perturbation theory; stochastic analysis; stochastic behavior; transcriptional networks; upstream system; upstream transcriptional module output variance; Approximation methods; Equations; Markov processes; Mathematical model; Probability distribution; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
ISSN :
0743-1619
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2012.6315645
Filename :
6315645
Link To Document :
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