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Influenza hemagglutinin drives viral entry via two sequential intramembrane mechanisms

Authors: Anna Pabis; Robert J. Rawle; Peter M. Kasson;

Influenza hemagglutinin drives viral entry via two sequential intramembrane mechanisms

Abstract

Abstract Enveloped viruses enter cells via a process of membrane fusion between the viral envelope and a cellular membrane. For influenza virus, mutational data have shown that the membrane-inserted portions of the hemagglutinin protein play a critical role in achieving fusion. In contrast to the relatively well-understood ectodomain, a predictive mechanistic understanding of the intramembrane mechanisms by which influenza hemagglutinin drives fusion has been elusive. We have used molecular dynamics simulations of fusion between a full-length hemagglutinin proteoliposome and a lipid bilayer to analyze these mechanisms. In our simulations, hemagglutinin first acts within the membrane to increase lipid tail protrusion and promote stalk formation and then acts to engage the distal leaflets of each membrane and promote stalk widening, curvature, and eventual fusion. These two sequential mechanisms, one occurring prior to stalk formation and one after, are consistent with experimental measurements we report of single-virus fusion kinetics to liposomes of different sizes. The resulting model also helps explain and integrate prior mutational and biophysical data, particularly the mutational sensitivity of the fusion peptide N-terminus and the length sensitivity of the transmembrane domain. We hypothesize that entry by other enveloped viruses may also utilize sequential processes of acyl tail exposure followed by membrane curvature and distal leaflet engagement.

Related Organizations
Keywords

Hemagglutinins, Viral, Molecular Dynamics Simulation, Virus Internalization, Orthomyxoviridae, Models, Biological

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
53
Top 1%
Top 10%
Top 1%
Green
hybrid