• DocumentCode
    16645
  • Title

    Systematic Analysis of the Mechanisms of Virus-Triggered Type I IFN Signaling Pathways through Mathematical Modeling

  • Author

    Wei Zhang ; Xiufen Zou

  • Author_Institution
    Sch. of Math. & Stat., Wuhan Univ., Wuhan, China
  • Volume
    10
  • Issue
    3
  • fYear
    2013
  • fDate
    May-June 2013
  • Firstpage
    771
  • Lastpage
    779
  • Abstract
    Based on biological experimental data, we developed a mathematical model of the virus-triggered signaling pathways that lead to induction of type I IFNs and systematically analyzed the mechanisms of the cellular antiviral innate immune responses, including the negative feedback regulation of ISG56 and the positive feedback regulation of IFNs. We found that the time between 5 and 48 hours after viral infection is vital for the control and/or elimination of the virus from the host cells and demonstrated that the ISG56-induced inhibition of MITA activation is stronger than the ISG56-induced inhibition of TBK1 activation. The global parameter sensitivity analysis suggests that the positive feedback regulation of IFNs is very important in the innate antiviral system. Furthermore, the robustness of the innate immune signaling network was demonstrated using a new robustness index. These results can help us understand the mechanisms of the virus-induced innate immune response at a system level and provide instruction for further biological experiments.
  • Keywords
    cellular biophysics; microorganisms; physiological models; ISG56-induced inhibition; MITA activation; TBK1 activation; biological experimental data; cellular antiviral innate immune responses; innate antiviral system; innate immune signaling network; mathematical model; time 5 hour to 48 hour; viral infection; virus-induced innate immune response; virus-triggered type I IFN signaling; Analytical models; Immune system; Mathematical model; Negative feedback; Proteins; Sensitivity analysis; Simulation; Analytical models; ISG56-induced inhibition; Immune system; MITA activation; Mathematical model; Negative feedback; Proteins; Sensitivity analysis; Signaling pathways; Simulation; TBK1 activation; biological experimental data; cellular antiviral innate immune responses; cellular biophysics; innate antiviral system; innate immune signaling network; mathematical model; mathematical modeling; microorganisms; negative feedback; physiological models; positive feedback; robustness; time 5 hour to 48 hour; viral infection; virus-induced innate immune response; virus-triggered type I IFN signaling;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2013.31
  • Filename
    6497039