| Literature DB >> 32696599 |
Frédérique Kok1,2, Marcus Rosenblatt3,4, Melissa Teusel1,2, Jens Timmer3,4,5,6, Marcel Schilling1, Ursula Klingmüller1, Tamar Nizharadze1,2, Vladimir Gonçalves Magalhães7, Christopher Dächert2,7, Tim Maiwald3, Artyom Vlasov1,2, Marvin Wäsch1, Silvana Tyufekchieva8, Katrin Hoffmann8, Georg Damm9, Daniel Seehofer9, Tobias Boettler10, Marco Binder7.
Abstract
Tightly interlinked feedback regulators control the dynamics of intracellular responses elicited by the activation of signal transduction pathways. Interferon alpha (IFNα) orchestrates antiviral responses in hepatocytes, yet mechanisms that define pathway sensitization in response to prestimulation with different IFNα doses remained unresolved. We establish, based on quantitative measurements obtained for the hepatoma cell line Huh7.5, an ordinary differential equation model for IFNα signal transduction that comprises the feedback regulators STAT1, STAT2, IRF9, USP18, SOCS1, SOCS3, and IRF2. The model-based analysis shows that, mediated by the signaling proteins STAT2 and IRF9, prestimulation with a low IFNα dose hypersensitizes the pathway. In contrast, prestimulation with a high dose of IFNα leads to a dose-dependent desensitization, mediated by the negative regulators USP18 and SOCS1 that act at the receptor. The analysis of basal protein abundance in primary human hepatocytes reveals high heterogeneity in patient-specific amounts of STAT1, STAT2, IRF9, and USP18. The mathematical modeling approach shows that the basal amount of USP18 determines patient-specific pathway desensitization, while the abundance of STAT2 predicts the patient-specific IFNα signal response.Entities:
Keywords: dynamic pathway modeling; feedback control; interferon; personalized treatment; signal transduction
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Year: 2020 PMID: 32696599 PMCID: PMC7373899 DOI: 10.15252/msb.20198955
Source DB: PubMed Journal: Mol Syst Biol ISSN: 1744-4292 Impact factor: 11.429