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
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