Decoding the dynamics of multilayered stochastic antiviral IFN-I responses

Laura C. van Eyndhoven, Abhyudai Singh, Jurjen Tel (Corresponding author)

Research output: Contribution to journalReview articlepeer-review

7 Citations (Scopus)
39 Downloads (Pure)


Type I Interferon (IFN-I) responses were first recognized for their role in antiviral immunity, but it is now widely appreciated that IFN-Is have many immunomodulatory functions, influencing antitumor responses, autoimmune manifestations, and antimicrobial defenses. Given these pivotal roles, it may be surprising that multilayered stochastic events create highly heterogeneous, but tightly regulated, all-or-nothing cellular decisions. Recently, mathematical models have provided crucial insights into the stochastic nature of antiviral IFN-I responses, which we critically evaluate in this review. In this context, we emphasize the need for innovative single-cell technologies combined with mathematical models to further reveal, understand, and predict the complexity of the IFN-I system in physiological and pathological conditions that may be relevant to a plethora of diseases.

Original languageEnglish
Pages (from-to)824-839
Number of pages16
JournalTrends in Immunology
Issue number9
Publication statusPublished - Sep 2021

Bibliographical note

Funding Information:
This work was supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant agreement No. 802791). None declared by authors.


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