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Article details
Title
Influenza-virus membrane fusion by cooperative fold-back of stochastically induced hemagglutinin intermediates
Published in
eLife, February 2013
DOI 10.7554/elife.00333
Pubmed ID
Authors
Abstract

Influenza virus penetrates cells by fusion of viral and endosomal membranes catalyzed by the viral hemagglutinin (HA). Structures of the initial and final states of the HA trimer define the fusion endpoints, but do not specify intermediates. We have characterized these transitions by analyzing low-pH-induced fusion kinetics of individual virions and validated the analysis by computer simulation. We detect initial engagement with the target membrane of fusion peptides from independently triggered HAs within the larger virus-target contact patch; fusion then requires engagement of three or four neighboring HA trimers. Effects of mutations in HA indicate that withdrawal of the fusion peptide from a pocket in the pre-fusion trimer is rate-limiting for both events, but the requirement for cooperative action of several HAs to bring the fusing membranes together leads to a long-lived intermediate state for single, extended HA trimers. This intermediate is thus a fundamental aspect of the fusion mechanism. DOI:http://dx.doi.org/10.7554/eLife.00333.001.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Canada 1 <1%
Unknown 155 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 53 34%
Researcher 34 22%
Student > Doctoral Student 10 6%
Professor > Associate Professor 10 6%
Student > Bachelor 9 6%
Other 24 15%
Unknown 16 10%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 49 31%
Agricultural and Biological Sciences 35 22%
Immunology and Microbiology 12 8%
Physics and Astronomy 12 8%
Chemistry 10 6%
Other 16 10%
Unknown 22 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 December 2016.
All research outputs
#24,110,443
of 34,388,610 outputs
Outputs from eLife
#16,324
of 19,313 outputs
Outputs of similar age
#167,336
of 238,227 outputs
Outputs of similar age from eLife
#50
of 57 outputs
Altmetric has tracked 34,388,610 research outputs across all sources so far. This one is in the 28th percentile – i.e., 28% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,313 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 238,227 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.