Evidence map›Paper›PMID 29623903›Full record

ArticleJournal of physics. Condensed matter : an Institute of Physics journal2018

Single-particle fusion of influenza viruses reveals complex interactions with target membranes.

Guus van der Borg, Scarlett Braddock, Jelle S Blijleven, Antoine M van Oijen, Wouter H Roos

Abstract read
In one paragraph

Article in Journal of physics. Condensed matter : an Institute of Physics journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Guus van der BorgMoleculaire Biofysica, Zernike Instituut, Rijksuniversiteit Groningen, Netherlands.ORCID 0000-0002-4481-3498
Scarlett BraddockMoleculaire Biofysica, Zernike Instituut, Rijksuniversiteit Groningen, Netherlands.
Jelle S BlijlevenMoleculaire Biofysica, Zernike Instituut, Rijksuniversiteit Groningen, Netherlands.
Antoine M van OijenSchool of Chemistry, University of Wollongong, Wollongong, Australia.
Wouter H RoosMoleculaire Biofysica, Zernike Instituut, Rijksuniversiteit Groningen, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The first step in infection of influenza A virus is contact with the host cell membrane, with which it later fuses. The composition of the target bilayer exerts a complex influence on both fusion efficiency and time. Here, an in vitro, single-particle approach is used to study this effect. Using total internal reflection fluorescence (TIRF) microscopy and a microfluidic flow cell, the hemifusion of single virions is visualized. Hemifusion efficiency and kinetics are studied while altering target bilayer cholesterol content and sialic-acid donor. Cholesterol ratios tested were 0%, 10%, 20%, and 40%. Sialic-acid donors GD1a and GYPA were used. Both cholesterol ratio and sialic-acid donors proved to have a significant effect on hemifusion efficiency. Furthermore, comparison between GD1a and GYPA conditions shows that the cholesterol dependence of the hemifusion time is severely affected by the sialic-acid donor. Only GD1a shows a clear increasing trend in hemifusion efficiency and time with increasing cholesterol concentration of the target bilayer with maximum rates for GD1A and 40% cholesterol. Overall our results show that sialic acid donor and target bilayer composition should be carefully chosen, depending on the desired hemifusion time and efficiency in the experiment.

Indexed as

Membrane FusionCell MembraneHumansLipid BilayersOrthomyxoviridaeSialic AcidsVirionLipid BilayersSialic Acids

Identifiers

PMID29623903
PMCPMC7104739

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.