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
Link To Document :
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