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Using Zebrafish Models of Human Influenza A Virus Infections to Screen Antiviral Drugs and Characterize Host Immune Cell Responses
Published on: January 20, 2017
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A quantitative model for virus uncoating predicts influenza A infectivity
Alina Artcibasova1, Longlong Wang2, Stephanie Anchisi3
1Department of Biosystems Science and Engineering and SIB Swiss Institute of Bioinformatics, ETH Zurich, 4058 Basel, Switzerland.
Cell Reports
|December 16, 2023
Summary
Influenza A virus (IAV) uncoating involves a capsid tug-of-war mechanism between viral M1 proteins and host factors like HDAC6. This process, regulated by ubiquitin chains, is key to viral infection and can be influenced by single amino acid changes.
Area of Science:
- Virology
- Biophysics
- Molecular Biology
Background:
- Virus infection requires capsid disassembly for host cell entry.
- Mechanisms of influenza A virus (IAV) uncoating and host-virus interactions remain poorly understood.
- Understanding viral uncoating is crucial for developing antiviral strategies.
Purpose of the Study:
- To elucidate the mechanisms of influenza A virus (IAV) uncoating in host cells.
- To develop an experimentally supported multiscale kinetics model for viral uncoating.
- To identify host-virus interactions critical for viral entry and infectivity.
Main Methods:
- Multiscale kinetics modeling and biophysical modeling of viral capsid disassembly.
- Biochemical analysis to identify essential host factors and viral components.
- Biochemical-biophysical modeling to predict uncoating efficiency based on molecular interactions.
Main Results:
- A tug-of-war mechanism involving capsid M1 proteins, host histone deacetylase 6 (HDAC6), and molecular motors physically breaks the viral capsid.
- Unanchored ubiquitin chains are essential for efficient viral uncoating.
- A single amino acid variation in the M1 protein affecting HDAC6 binding explains differences in infectivity between viral strains.
Conclusions:
- The study presents a novel model elucidating IAV uncoating mechanisms.
- Host-viral interactions, particularly M1-HDAC6 binding, are critical determinants of viral infectivity.
- Identified mechanisms and models offer potential for developing broad-range antiviral treatments.

