Evidence map›Paper›PMID 38918479›Full record

ArticleScientific reports2024

An efficient plasmid-based system for the recovery of recombinant vesicular stomatitis virus encoding foreign glycoproteins.

María-Carmen Marqués, Iván Andreu-Moreno, Rafael Sanjuán, Santiago F Elena, Ron Geller

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

María-Carmen MarquésInstitute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de València, 46980, Paterna, Valencia, Spain.
Iván Andreu-MorenoInstitute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de València, 46980, Paterna, Valencia, Spain.
Rafael SanjuánInstitute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de València, 46980, Paterna, Valencia, Spain.
Santiago F ElenaInstitute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de València, 46980, Paterna, Valencia, Spain.
Ron GellerInstitute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de València, 46980, Paterna, Valencia, Spain. ron.geller@csic.es.

Funding

European Research Council Advanced Grant 101019724-EVADEREuropean Union NextGenerationEU/PRTR SGL2021-03-009MCIN/AEI/10.13039/501100011033 CNS2022-135100
6 · The paper itself

Abstract

Viral glycoproteins mediate entry into host cells, thereby dictating host range and pathogenesis. In addition, they constitute the principal target of neutralizing antibody responses, making them important antigens in vaccine development. Recombinant vesicular stomatitis virus (VSV) encoding foreign glycoproteins can provide a convenient and safe surrogate system to interrogate the function, evolution, and antigenicity of viral glycoproteins from viruses that are difficult to manipulate or those requiring high biosafety level containment. However, the production of recombinant VSV can be technically challenging. In this work, we present an efficient and robust plasmid-based system for the production of recombinant VSV encoding foreign glycoproteins. We validate the system using glycoproteins from different viral families, including arenaviruses, coronaviruses, and hantaviruses, as well as highlight their utility for studying the effects of mutations on viral fitness. Overall, the methods described herein can facilitate the study of both native and recombinant VSV encoding foreign glycoproteins and can serve as the basis for the production of VSV-based vaccines.

Indexed as

GlycoproteinsPlasmidsAnimalsHEK293 CellsHumansVesiculovirusViral ProteinsGlycoproteinsViral Proteins

Identifiers

PMID38918479
PMCPMC11199562

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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.