Decoding the dynamics of multilayered stochastic antiviral IFN-I responses
| Autor: | Jurjen Tel, Abhyudai Singh, Laura C. Van Eyndhoven |
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| Rok vydání: | 2021 |
| Předmět: |
0303 health sciences
Immunology Immunity Context (language use) Biology 3. Good health 03 medical and health sciences Antiviral immunity 0302 clinical medicine Interferon Virus Diseases Interferon Type I medicine Immunology and Allergy Neuroscience 030217 neurology & neurosurgery 030304 developmental biology medicine.drug |
| Zdroj: | Trends in immunology. 42(9) |
| ISSN: | 1471-4981 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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