Evidence map›Paper›PMID 38526727›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Targeted Genome Editing of Virulent Pseudomonas Phages Using CRISPR-Cas3.

Kaat Schroven, Marleen Voet, Rob Lavigne, Hanne Hendrix

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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
5.0field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
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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

4 authors at 1 institution in 1 country.

Kaat SchrovenLaboratory of Gene Technology, Department of Biosystems, KU Leuven, Leuven, Belgium.
Marleen VoetLaboratory of Gene Technology, Department of Biosystems, KU Leuven, Leuven, Belgium.
Rob LavigneLaboratory of Gene Technology, Department of Biosystems, KU Leuven, Leuven, Belgium.
Hanne HendrixLaboratory of Gene Technology, Department of Biosystems, KU Leuven, Leuven, Belgium. hanne.hendrix@kuleuven.be.
KU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The vast number of unknown phage-encoded ORFan genes and limited insights into the genome organization of phages illustrate the need for efficient genome engineering tools to study bacteriophage genes in their natural context. In addition, there is an application-driven desire to alter phage properties, which is hampered by time constraints for phage genome engineering in the bacterial host. We here describe an optimized CRISPR-Cas3 system in Pseudomonas for straightforward editing of the genome of virulent bacteriophages. The two-vector system combines a broad host range CRISPR-Cas3 targeting plasmid with a SEVA plasmid for homologous directed repair, which enables the creation of clean deletions, insertions, or substitutions in the phage genome within a week. After creating the two plasmids separately, a co-transformation to P. aeruginosa cells is performed. A subsequent infection with the targeted phage allows the CRISPR-Cas3 system to cut the DNA specifically and facilitate or select for homologous recombination. This system has also been successfully applied for P. aeruginosa and Pseudomonas putida genome engineering. The method is straightforward, efficient, and universal, enabling to extrapolate the system to other phage-host pairs.

Indexed as

BacteriophagesPseudomonas PhagesCRISPR-Cas SystemsGene EditingHomologous RecombinationBacteriophageCas3CRISPR-CasGenome engineeringPseudomonas aeruginosaSEVA

Identifiers

PMID38526727
OpenAlexW4393170975

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.