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Multi‐layered stochasticity and paracrine signal propagation shape the type‐I interferon response
Author(s) -
Rand Ulfert,
Rinas Melanie,
Schwerk Johannes,
Nöhren Gesa,
Linnes Melanie,
Kröger Andrea,
Flossdorf Michael,
KályKullai Kristóf,
Hauser Hansjörg,
Höfer Thomas,
Köster Mario
Publication year - 2012
Publication title -
molecular systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.523
H-Index - 148
ISSN - 1744-4292
DOI - 10.1038/msb.2012.17
Subject(s) - biology , paracrine signalling , signal (programming language) , computational biology , genetics , receptor , computer science , programming language
The cellular recognition of viruses evokes the secretion of type‐I interferons (IFNs) that induce an antiviral protective state. By live‐cell imaging, we show that key steps of virus‐induced signal transduction, IFN‐ β expression, and induction of IFN‐stimulated genes (ISGs) are stochastic events in individual cells. The heterogeneity in IFN production is of cellular—and not viral—origin, and temporal unpredictability of IFN‐ β expression is largely due to cell‐intrinsic noise generated both upstream and downstream of the activation of nuclear factor‐ κ B and IFN regulatory factor transcription factors. Subsequent ISG induction occurs as a stochastic all‐or‐nothing switch, where the responding cells are protected against virus replication. Mathematical modelling and experimental validation show that reliable antiviral protection in the face of multi‐layered cellular stochasticity is achieved by paracrine response amplification. Achieving coherent responses through intercellular communication is likely to be a more widely used strategy by mammalian cells to cope with pervasive stochasticity in signalling and gene expression.

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