4.6 Article

Disentangling molecular mechanisms regulating sensitization of interferon alpha signal transduction

期刊

MOLECULAR SYSTEMS BIOLOGY
卷 16, 期 7, 页码 -

出版社

WILEY
DOI: 10.15252/msb.20198955

关键词

dynamic pathway modeling; feedback control; interferon; personalized treatment; signal transduction

资金

  1. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [272983813-TRR 179]
  2. DFG [FOR1202]
  3. DFG within Germany's Excellence Strategy [CIBSS-EXC-2189, 390939984]
  4. German Ministry of Education and Research (BMBF) within Multi-Scale Modeling of Drug Induced Liver Injury (MS_DILI) [031L0074A, 031L0074B]
  5. German Ministry of Education and Research (BMBF) within the Liver Systems Medicine network (LiSyM) [031L0042, 031L0048]
  6. German Ministry of Education and Research (BMBF) within EraSysAPP consortium IMOMESIC [031A604A, 031A604B, 031A604C]
  7. Ministerium fur Wissenschaft, Forschung und Kunst Baden-Wurttemberg (MWK) through bwHPC

向作者/读者索取更多资源

Tightly interlinked feedback regulators control the dynamics of intracellular responses elicited by the activation of signal transduction pathways. Interferon alpha (IFN alpha) orchestrates antiviral responses in hepatocytes, yet mechanisms that define pathway sensitization in response to prestimulation with different IFN alpha doses remained unresolved. We establish, based on quantitative measurements obtained for the hepatoma cell line Huh7.5, an ordinary differential equation model for IFN alpha 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 IFN alpha dose hypersensitizes the pathway. In contrast, prestimulation with a high dose of IFN alpha 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 IFN alpha signal response.

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