Literature DB >> 24091409

Systematic analysis of the mechanisms of virus-triggered type I IFN signaling pathways through mathematical modeling.

Wei Zhang1, Xiufen Zou.   

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.

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Year:  2013        PMID: 24091409     DOI: 10.1109/TCBB.2013.31

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  4 in total

1.  Crosstalk between pathways enhances the controllability of signalling networks.

Authors:  Dingjie Wang; Suoqin Jin; Xiufen Zou
Journal:  IET Syst Biol       Date:  2016-02       Impact factor: 1.615

2.  Optimal control strategy for abnormal innate immune response.

Authors:  Jinying Tan; Xiufen Zou
Journal:  Comput Math Methods Med       Date:  2015-04-08       Impact factor: 2.238

3.  Deciphering deterioration mechanisms of complex diseases based on the construction of dynamic networks and systems analysis.

Authors:  Yuanyuan Li; Suoqin Jin; Lei Lei; Zishu Pan; Xiufen Zou
Journal:  Sci Rep       Date:  2015-03-19       Impact factor: 4.379

4.  Quantification of Type I Interferon Inhibition by Viral Proteins: Ebola Virus as a Case Study.

Authors:  Macauley Locke; Grant Lythe; Martín López-García; César Muñoz-Fontela; Miles Carroll; Carmen Molina-París
Journal:  Viruses       Date:  2021-12-04       Impact factor: 5.048

  4 in total

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