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A High Resolution Method to Monitor Phosphorylation-dependent Activation of IRF3
Published on: January 24, 2016
Disentangling molecular mechanisms regulating sensitization of interferon alpha signal transduction
Frédérique Kok1,2, Marcus Rosenblatt3,4, Melissa Teusel1,2
1Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany.
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.
Insights
Low-dose interferon alpha (IFNα) hypersensitizes cellular pathways, while high doses desensitize them. Mathematical modeling reveals how protein levels like STAT2 and USP18 influence these interferon responses.
Area of Science:
- Cellular signaling dynamics
- Immunology and virology
- Mathematical biology
Background:
- Signal transduction pathways are tightly regulated by feedback mechanisms.
- Interferon alpha (IFNα) is crucial for antiviral responses in hepatocytes.
- Understanding IFNα pathway sensitization to varying doses is critical.
Purpose of the Study:
- To develop a mathematical model of IFNα signal transduction in hepatocytes.
- To investigate mechanisms of pathway sensitization and desensitization.
- To analyze patient-specific variations in IFNα response.
Main Methods:
- Quantitative measurements in the Huh7.5 hepatoma cell line.
- Development of an ordinary differential equation model.
- Analysis of basal protein abundance in primary human hepatocytes.
Main Results:
- Low-dose IFNα prestimulation leads to pathway hypersensitization via STAT2 and IRF9.
- High-dose IFNα prestimulation causes dose-dependent desensitization mediated by USP18 and SOCS1.
- Significant patient-specific heterogeneity exists in STAT1, STAT2, IRF9, and USP18 levels.
Conclusions:
- Basal USP18 levels predict patient-specific pathway desensitization to IFNα.
- STAT2 abundance is a predictor of patient-specific IFNα signal response.
- Mathematical modeling provides insights into complex cellular signaling regulation.
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