Evidence map›Paper›PMID 38511958›Full record

ReviewmSphere2024

Blunted blades: new CRISPR-derived technologies to dissect microbial multi-drug resistance and biofilm formation.

Christopher Gager, Ana L Flores-Mireles

Abstract readReview
In one paragraph

Review in mSphere, 2024. 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. CRISPR-driven strategies to disrupt methicillin-resistantFrontiers in cellular and infection microbiology · 2026
    Review
  4. 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

2 authors.

Christopher GagerDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.ORCID 0009-0002-3141-4890
Ana L Flores-MirelesDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.ORCID 0000-0003-4610-4246

Funding

Understanding the role of catheter-associated protein deposition in the development of CAUTIR01DK128805 · NIDDK · UNIVERSITY OF NOTRE DAME · PI FLORES-MIRELES, ANA LIDIA, HOWELL, CAITLIN L · 2021 to 2025
$1.9M
NIDDK NIH HHS R01 DK128805
6 · The paper itself

Abstract

The spread of multi-drug-resistant (MDR) pathogens has rapidly outpaced the development of effective treatments. Diverse resistance mechanisms further limit the effectiveness of our best treatments, including multi-drug regimens and last line-of-defense antimicrobials. Biofilm formation is a powerful component of microbial pathogenesis, providing a scaffold for efficient colonization and shielding against anti-microbials, which further complicates drug resistance studies. Early genetic knockout tools didn't allow the study of essential genes, but clustered regularly interspaced palindromic repeat inference (CRISPRi) technologies have overcome this challenge via genetic silencing. These tools rapidly evolved to meet new demands and exploit native CRISPR systems. Modern tools range from the creation of massive CRISPRi libraries to tunable modulation of gene expression with CRISPR activation (CRISPRa). This review discusses the rapid expansion of CRISPRi/a-based technologies, their use in investigating MDR and biofilm formation, and how this drives further development of a potent tool to comprehensively examine multi-drug resistance.

Indexed as

BacteriaBiofilmsClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsDrug Resistance, Multiple, BacterialAnti-Bacterial AgentsHumansAnti-Bacterial AgentsantimicrobialbacteriabiofilmsCandidaCRISPRaCRISPRiE. coliessential genesfungimulti-drug resistancemycobacteriumpathogens

Identifiers

PMID38511958
PMCPMC11036814

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.