Evidence map›Paper›PMID 39711492›Full record

ArticleCurrent protocols2024

Using Vesicular Stomatitis Virus as a Platform for Directed Protease Evolution.

Francesco Costacurta, Stefanie Rauch, Dorothee von Laer, Emmanuel Heilmann

Abstract read
In one paragraph

Article in Current protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Francesco CostacurtaInstitute of Virology, Medical University of Innsbruck, Innsbruck, Austria.
Stefanie RauchInstitute of Virology, Medical University of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0009-0007-7415-0211
Dorothee von LaerInstitute of Virology, Medical University of Innsbruck, Innsbruck, Austria.
Emmanuel HeilmannInstitute of Virology, Medical University of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0000-0001-8148-9490

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antiviral drugs are essential medications to save the lives of infected people. However, they are under constant threat to become ineffective as viruses evolve quickly. Studying the development of resistance is therefore paramount to understand the impact of mutations on pharmacological treatment and to make informed decisions. Yet, such studies are open to scrutiny, as they are considered gain-of-function research, which is especially problematic with viruses of pandemic potential. In this article, we present a protocol that allows for the selection of antiviral resistance mutations safely, without using the actual virus (e.g., SARS-CoV-2, MERS-CoV). Instead, we use vesicular stomatitis virus (VSV) that serves as a surrogate virus; like other RNA viruses, it is prone to mutations due to its polymerase lacking proofreading. By replacing parts of the VSV genome with transgenes from other viruses, VSV becomes dependent on their function. Thus, we can mount a selection pressure with antivirals targeting the transgenes to subsequently sequence selected resistance mutations. This article provides a protocol for this process as well as a sequencing pipeline that we used to collect mutations. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol: Using VSV as a platform for directed protease evolution Alternate Protocol: Dose response assay with TCID

Indexed as

Antiviral AgentsDirected Molecular EvolutionDrug Resistance, ViralAnimalsHumansMutationPeptide HydrolasesSARS-CoV-2Vesicular stomatitis Indiana virusVesiculovirusAntiviral AgentsPeptide HydrolasescoronavirusesevolutionMproprotease inhibitorsresistanceSARS‐CoV‐2vesicular stomatitis virus

Identifiers

PMID39711492
PMCPMC11664493

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.