Cell fate in antiviral response arises in the crosstalk of IRF, NF-κB and JAK/STAT pathways

被引:0
作者
Maciej Czerkies
Zbigniew Korwek
Wiktor Prus
Marek Kochańczyk
Joanna Jaruszewicz-Błońska
Karolina Tudelska
Sławomir Błoński
Marek Kimmel
Allan R. Brasier
Tomasz Lipniacki
机构
[1] Polish Academy of Sciences,Institute of Fundamental Technological Research
[2] Rice University,Departments of Statistics and Bioengineering, and Program in Systems, Synthetic, and Physical Biology
[3] Silesian University of Technology,Systems Engineering Group
[4] University of Texas Medical Branch,Institute for Translational Sciences
来源
Nature Communications | / 9卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
相关论文
共 117 条
[1]  
Tay S(2010)Single-cell NF-κB dynamics reveal digital activation and analogue information processing Nature 466 267-271
[2]  
Alon U(2007)Network motifs: theory and experimental approaches Nat. Rev. Genet. 8 450-461
[3]  
Hoffmann A(2002)The IκB-NF-κB signaling module: temporal control and selective gene activation Science 298 1241-1245
[4]  
Levchenko A(2004)Oscillations in NF-κB signaling control the dynamics of gene expression Science 306 704-708
[5]  
Scott ML(2000)Dynamic shuttling of nuclear factor kappa B between the nucleus and cytoplasm as a consequence of inhibitor dissociation J. Biol. Chem. 275 41028-41034
[6]  
Baltimore D(2005)Achieving stability of lipopolysaccharide-induced NF-κB activation Science 309 1854-1857
[7]  
Nelson DE(2009)A noisy paracrine signal determines the cellular NF-κB response to lipopolysaccharide Sci. Signal. 2 ra65-465
[8]  
Carlotti F(2015)Digital signaling decouples activation probability and population heterogeneity eLife 4 e08931-18149
[9]  
Dower SK(2003)A positive-feedback-based bistable ‘memory module’ that governs a cell fate decision Nature 426 460-2908
[10]  
Qwarnstrom EE(2013)MicroRNA-based regulation of epithelial–hybrid–mesenchymal fate determination Proc. Natl Acad. Sci. USA 110 18144-35