• 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