Evidence map›Paper›PMID 23009349›Full record

ArticleBMC biotechnology2012

Development of an improved polykaryon-based influenza virus rescue system.

Vincent Bourret, Jon Lyall, Mariette F Ducatez, Jean-Luc Guérin, Laurence Tiley

Open access · goldAbstract read
In one paragraph

Article in BMC biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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 at 3 institutions in 4 countries.

Vincent BourretCambridge Infectious Disease Consortium, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK. v.bourret@envt.fr
Jon Lyall
Mariette F Ducatez
Jean-Luc Guérin
Laurence Tiley
Interaction Hôtes Agents Pathogènes · FRUniversity of Cambridge · GBÉcole Nationale Vétérinaire de Toulouse · FR

Funding

Biotechnology and Biological Sciences Research Council BB/G00479X/1Biotechnology and Biological Sciences Research Council BB/H014306/1Medical Research Council MC_G0902096
6 · The paper itself

Abstract

backgroundVirus rescue from transfected cells is an extremely useful technique that allows defined viral clones to be engineered for the purpose of rational vaccine design or fundamental reverse genetics studies. However, it is often hindered by low primary rescue success rates or yields, especially with field-derived viral strains. APPROACH: We investigated the possibility of enhancing influenza virus rescue by eliciting cell fusion to increase the chances of having all necessary plasmids expressed within the same polykaryon. To this end we used the Maedi-Visna Virus envelope protein which has potent fusion activity in cells from a wide range of different species.

resultsCo-transfecting cells with the eight plasmids necessary to rescue influenza virus plus a plasmid expressing the Maedi-Visna Virus envelope protein resulted in increased rescue efficiency. In addition, partial complements of the 8-plasmid rescue system could be transfected into two separate populations of cells, which upon fusion led to live virus rescue.

conclusionThe simple modification described here has the potential to improve the efficiency of the virus rescue process and expand the potential applications for reverse genetic studies.

Indexed as

Cloning, MolecularHEK293 CellsHumansInfluenza A virusOrthomyxoviridaePlasmidsRNA, ViralTransfectionViral Envelope ProteinsVisna-maedi virusRNA, ViralViral Envelope Proteins

Identifiers

PMID23009349
PMCPMC3558383
OpenAlexW2014567527

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.