A quantitative model for virus uncoating predicts influenza A infectivity.

CP: Microbiology HDAC6 influenza mathematical model tug of war uncoating

Journal

Cell reports
ISSN: 2211-1247
Titre abrégé: Cell Rep
Pays: United States
ID NLM: 101573691

Informations de publication

Date de publication:
14 Dec 2023
Historique:
received: 30 06 2022
revised: 13 10 2023
accepted: 22 11 2023
medline: 17 12 2023
pubmed: 17 12 2023
entrez: 16 12 2023
Statut: aheadofprint

Résumé

For virus infection of new host cells, the disassembly of the protective outer protein shell (capsid) is a critical step, but the mechanisms and host-virus interactions underlying the dynamic, active, and regulated uncoating process are largely unknown. Here, we develop an experimentally supported, multiscale kinetics model that elucidates mechanisms of influenza A virus (IAV) uncoating in cells. Biophysical modeling demonstrates that interactions between capsid M1 proteins, host histone deacetylase 6 (HDAC6), and molecular motors can physically break the capsid in a tug-of-war mechanism. Biochemical analysis and biochemical-biophysical modeling identify unanchored ubiquitin chains as essential and allow robust prediction of uncoating efficiency in cells. Remarkably, the different infectivity of two clinical strains can be ascribed to a single amino acid variation in M1 that affects binding to HDAC6. By identifying crucial modules of viral infection kinetics, the mechanisms and models presented here could help formulate novel strategies for broad-range antiviral treatment.

Identifiants

pubmed: 38103200
pii: S2211-1247(23)01570-X
doi: 10.1016/j.celrep.2023.113558
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113558

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Auteurs

Alina Artcibasova (A)

Department of Biosystems Science and Engineering and SIB Swiss Institute of Bioinformatics, ETH Zurich, 4058 Basel, Switzerland.

Longlong Wang (L)

Friedrich Miescher Institute for Biomedical Research (FMI), 4058 Basel, Switzerland; Faculty of Sciences, University of Basel, 4031 Basel, Switzerland.

Stephanie Anchisi (S)

Department of Microbiology and Molecular Medicine and Geneva Center of Inflammation Research, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland.

Yohei Yamauchi (Y)

Institute of Pharmaceutical Sciences, Department of Chemistry and Applied Biosciences, ETH Zurich, 8093 Zurich, Switzerland.

Mirco Schmolke (M)

Department of Microbiology and Molecular Medicine and Geneva Center of Inflammation Research, Faculty of Medicine, University of Geneva, 1211 Geneva, Switzerland.

Patrick Matthias (P)

Friedrich Miescher Institute for Biomedical Research (FMI), 4058 Basel, Switzerland; Faculty of Sciences, University of Basel, 4031 Basel, Switzerland. Electronic address: patrick.matthias@fmi.ch.

Jörg Stelling (J)

Department of Biosystems Science and Engineering and SIB Swiss Institute of Bioinformatics, ETH Zurich, 4058 Basel, Switzerland. Electronic address: joerg.stelling@bsse.ethz.ch.

Classifications MeSH