Evidence map›Paper›PMID 40272173›Full record

ReviewmSphere2025

Deep mutational scanning and CRISPR-engineered viruses: tools for evolutionary and functional genomics studies.

Mercedes Paz, Gonzalo Moratorio

Abstract readReview
In one paragraph

Review in mSphere, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
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

2 authors.

Mercedes PazLaboratory of Experimental Virus Evolution, Institut Pasteur de Montevideo, Montevideo, Uruguay.ORCID 0000-0002-9700-0327
Gonzalo MoratorioLaboratory of Experimental Virus Evolution, Institut Pasteur de Montevideo, Montevideo, Uruguay.ORCID 0000-0002-4555-4926

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in synthetic biology and sequencing technologies have revolutionized the ability to manipulate viral genomes with unparalleled precision. This review focuses on two powerful methodologies: deep mutational scanning and CRISPR-based genome editing, that enable comprehensive mutagenesis and detailed functional characterization of viral proteins. These approaches have significantly deepened our understanding of the molecular determinants driving viral evolution and adaptation. Furthermore, we discuss how these advances provide transformative insights for future vaccine development and therapeutic strategies.

Indexed as

CRISPR-Cas SystemsEvolution, MolecularGene EditingGenome, ViralGenomicsVirusesClustered Regularly Interspaced Short Palindromic RepeatsDNA Mutational AnalysisHumansMutationCRISPR-engineered virusesdeep mutational scanningvirus evolution

Identifiers

PMID40272173
PMCPMC12108059

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.