The interferons (IFNs) responses to viral infection are heterogeneous, while the underlying mechanisms for variability among cells are still not clear. In this study, we developed a hybrid model to systematically identify the sources of IFN induction heterogeneity. The experiment-integrated simulation demonstrated that the viral dose/type, the diversity in transcriptional factors activation and the intercellular paracrine signaling could strikingly shape the heterogeneity of IFN expression. We further determined that the IFN beta and IFN lambda 1 induced diverse dynamics of IFN-stimulated genes (ISGs) production. Collectively, our findings revealed the intracellular and intercellular mechanisms contributing to cell-to-cell variation in IFN induction, and further demonstrated the significant effects of IFN heterogeneity on antagonizing viruses.
基金:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China [31522018, 91629101, 61503419]; Guangdong Natural Science Funds for Distinguished Young Scholar [S2013050014772]; Guangdong Innovative Research Team Program [2011Y035, 201001Y0104687244]; Guangzhou Science and Technology Project [201605030012]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [15lgjc02]; Training Program for Outstanding Young Teachers in Higher Education institutions of Guangdong Province [YQ2015001]; Guangdong Nature Science FoundationNational Natural Science Foundation of Guangdong Province [2014A030310355, 2016A030313234]
语种:
外文
被引次数:
WOS:
中科院(CAS)分区:
出版当年[2017]版:
大类|3 区生物
小类|3 区综合性期刊
最新[2023]版:
大类|3 区综合性期刊
小类|3 区综合性期刊
第一作者:
第一作者机构:[1]Sun Yat Sen Univ, Sch Life Sci, Key Lab Gene Engn, Minist Educ,State Key Lab Biocontrol, Guangzhou, Guangdong, Peoples R China;[2]Sun Yat Sen Univ, Zhongshan Sch Med, Guangzhou, Guangdong, Peoples R China;
通讯作者:
通讯机构:[1]Sun Yat Sen Univ, Sch Life Sci, Key Lab Gene Engn, Minist Educ,State Key Lab Biocontrol, Guangzhou, Guangdong, Peoples R China;[3]Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, Guangzhou, Guangdong, Peoples R China;
推荐引用方式(GB/T 7714):
Cai Chunmei,Zhou Jie,Sun Xiaoqiang,et al.Integrated modeling and analysis of intracellular and intercellular mechanisms in shaping the interferon response to viral infection[J].PLOS ONE.2017,12(10):-.doi:10.1371/journal.pone.0186105.
APA:
Cai, Chunmei,Zhou, Jie,Sun, Xiaoqiang,Sun, Tingzhe,Xie, Weihong&Cui, Jun.(2017).Integrated modeling and analysis of intracellular and intercellular mechanisms in shaping the interferon response to viral infection.PLOS ONE,12,(10)
MLA:
Cai, Chunmei,et al."Integrated modeling and analysis of intracellular and intercellular mechanisms in shaping the interferon response to viral infection".PLOS ONE 12..10(2017):-