Header

UZH-Logo

Maintenance Infos

How cells tune viral mechanics-insights from biophysical measurements of influenza virus


Greber, Urs F (2014). How cells tune viral mechanics-insights from biophysical measurements of influenza virus. Biophysical Journal, 106(11):2317-2321.

Abstract

During replication, the physical state of a virus is controlled by assembly and disassembly processes, when particles are put together and dismantled by cellular cues, respectively. A fundamental question has been how a cell can assemble an infectious virus, and dismantle a virus entering an uninfected cell and thereby trigger a new round of infection. This apparent paradox might be explained by considering that infected and uninfected cells are functionally different, or that assembly and disassembly take place along different cellular pathways. A third possibility is that the physical properties of newly assembled viruses are different from the infection-ready viruses. Recent biophysical experiments measured the stiffness of single Influenza viruses and combined this with biochemical measurements and cell biological assays. Besides inducing the fusogenic state of hemagglutinin, low pH cues softened the virus and precluded aggregation of viral ribonucleoprotein particles with the matrix protein M1. The recent experiments suggest a two-step model for Influenza virus entry and uncoating involving low pH in early and late endosomes, respectively. I conclude with a short outlook into how combined biophysical and cell biological approaches might lead to the identification of new cellular cues controlling viral uncoating and infection.

Abstract

During replication, the physical state of a virus is controlled by assembly and disassembly processes, when particles are put together and dismantled by cellular cues, respectively. A fundamental question has been how a cell can assemble an infectious virus, and dismantle a virus entering an uninfected cell and thereby trigger a new round of infection. This apparent paradox might be explained by considering that infected and uninfected cells are functionally different, or that assembly and disassembly take place along different cellular pathways. A third possibility is that the physical properties of newly assembled viruses are different from the infection-ready viruses. Recent biophysical experiments measured the stiffness of single Influenza viruses and combined this with biochemical measurements and cell biological assays. Besides inducing the fusogenic state of hemagglutinin, low pH cues softened the virus and precluded aggregation of viral ribonucleoprotein particles with the matrix protein M1. The recent experiments suggest a two-step model for Influenza virus entry and uncoating involving low pH in early and late endosomes, respectively. I conclude with a short outlook into how combined biophysical and cell biological approaches might lead to the identification of new cellular cues controlling viral uncoating and infection.

Statistics

Citations

8 citations in Web of Science®
8 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

40 downloads since deposited on 11 Jun 2014
6 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:2014
Deposited On:11 Jun 2014 07:19
Last Modified:07 Aug 2017 12:35
Publisher:Biophysical Society
ISSN:0006-3495
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1016/j.bpj.2014.04.025
PubMed ID:24896110

Download

Preview Icon on Download
Preview
Content: Submitted Version
Language: English
Filetype: PDF
Size: 673kB
View at publisher
Preview Icon on Download
Preview
Content: Published Version
Filetype: PDF
Size: 421kB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations