Evidence map›Paper›PMID 38837392›Full record

ArticlemSystems2024

Genome-wide CRISPRi screens for high-throughput fitness quantification and identification of determinants for dalbavancin susceptibility in

Xue Liu, Vincent de Bakker, Maria Victoria Heggenhougen, Marita Torrissen Mårli, Anette Heidal Frøynes, Zhian Salehian, Davide Porcellato, Danae Morales Angeles, Jan-Willem Veening, Morten Kjos

Abstract read
In one paragraph

Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Frontiers in bioinformatics · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Veterinary sciences · 2025
    Review
  14. Article
  15. Article
  16. The Secondary Resistome of Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2025
    Article
  17. Review
  18. Article
  19. 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

10 authors.

Xue Liu *Department of Pathogen, Biology, International Cancer Center, Shenzhen University Medical School, Shenzhen, Guangdong, China.
Vincent de Bakker *Department of Fundamental Microbiology, University of Lausanne, , Switzerland.ORCID 0000-0003-1019-3558
Maria Victoria Heggenhougen *Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Norway.
Marita Torrissen MårliFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Norway.
Anette Heidal FrøynesFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Norway.
Zhian SalehianFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Norway.
Davide PorcellatoFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Norway.
Danae Morales AngelesFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Norway.
Jan-Willem VeeningDepartment of Fundamental Microbiology, University of Lausanne, , Switzerland.ORCID 0000-0002-3162-6634
Morten KjosFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Norway.ORCID 0000-0003-4448-9082

Funding

MOST | National Key Research and Development Program of China (NKPs) 2023YFD1800100National Nature Science Foundation of China 82270012Research Council of Norway 296906, 314733Shenzhen University 2035 Program for Excellent Research 86901- 00000216Swiss National Science Foundation 40AR40_185533The Science and Technology Project of Shenzhen JCYJ20220818095602006
6 · The paper itself

Abstract

Antibiotic resistance and tolerance remain a major problem for the treatment of staphylococcal infections. Identifying genes that influence antibiotic susceptibility could open the door to novel antimicrobial strategies, including targets for new synergistic drug combinations. Here, we developed a genome-wide CRISPR interference library for

Indexed as

Anti-Bacterial AgentsStaphylococcus aureusTeicoplaninBacterial ProteinsClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsDrug Resistance, BacterialGenome, BacterialMicrobial Sensitivity TestsAnti-Bacterial AgentsBacterial ProteinsdalbavancinTeicoplaninantibiotic resistanceCRISPR interferencegenetic screenStaphylococcus aureus

Identifiers

PMID38837392
PMCPMC11265419

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.