Cell fate in antiviral response arises in the crosstalk of IRF, NF-κB and JAK/STAT pathways.
Cell fate in antiviral response arises in the crosstalk of IRF, NF-κB and JAK/STAT pathways.
复制标题
DOI:
10.1038/s41467-017-02640-8
复制
发表时间:
2018-02-05
影响因子:
16.6
通讯作者:
Lipniacki T
中科院分区:
文献类型:
--
作者:
Czerkies M;Korwek Z;Prus W;Kochańczyk M;Jaruszewicz-Błońska J;Tudelska K;Błoński S;Kimmel M;Brasier AR;Lipniacki T
The innate immune system processes pathogen-induced signals into cell fate decisions. How information is turned to decision remains unknown. By combining stochastic mathematical modelling and experimentation, we demonstrate that feedback interactions between the IRF3, NF-κB and STAT pathways lead to switch-like responses to a viral analogue, poly(I:C), in contrast to pulse-like responses to bacterial LPS. Poly(I:C) activates both IRF3 and NF-κB, a requirement for induction of IFNβ expression. Autocrine IFNβ initiates a JAK/STAT-mediated positive-feedback stabilising nuclear IRF3 and NF-κB in first responder cells. Paracrine IFNβ, in turn, sensitises second responder cells through a JAK/STAT-mediated positive feedforward pathway that upregulates the positive-feedback components: RIG-I, PKR and OAS1A. In these sensitised cells, the ‘live-or-die’ decision phase following poly(I:C) exposure is shorter—they rapidly produce antiviral responses and commit to apoptosis. The interlinked positive feedback and feedforward signalling is key for coordinating cell fate decisions in cellular populations restricting pathogen spread. Innate immunity combines intra- and intercellular signalling to develop responses that limit pathogen spread. Here the authors analyse feedback and feedforward loops connecting IRF3, NF-κB and STAT pathways, and suggest they allow coordinating cell fate decisions in cellular populations in response to the virus-mimicking agent poly(I:C).
登录
查看更多内容
影响因子:
64.8
作者:
Alexopoulou, L;Holt, AC;Flavell, RA
通讯作者:
Flavell, RA
影响因子:
7.3
作者:
Lee, Timothy K.;Denny, Elissa M.;Covert, Markus W.
通讯作者:
Covert, Markus W.
影响因子:
7.7
作者:
Kellogg, Ryan A.;Tian, Chengzhe;Tay, Savas
通讯作者:
Tay, Savas
影响因子:
3.7
作者:
Hu, Jian;De Barro, Paul;Liu, Shu-Sheng
通讯作者:
Liu, Shu-Sheng
影响因子:
4.3
作者:
Hat B;Kochańczyk M;Bogdał MN;Lipniacki T
通讯作者:
Lipniacki T