Evidence map›Paper›PMID 33285498›Full record

ReviewCurrent opinion in microbiology2021

Bacterial CRISPR screens for gene function.

Horia Todor, Melanie R Silvis, Hendrik Osadnik, Carol A Gross

Abstract readReview
In one paragraph

Review in Current opinion in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
  2. Review
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  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
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  15. Article
  16. Beyond genomics in Patescibacteria: A trove of unexplored biology packed into ultrasmall bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Sequencing-based analysis of microbiomes.Nature reviews. Genetics · 2024
    Review
  18. Article
  19. Article
  20. 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

4 authors.

Horia TodorDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94158, USA.
Melanie R SilvisDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94158, USA.
Hendrik OsadnikDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94158, USA.
Carol A GrossDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute of Quantitative Biology, University of California, San Francisco, San Francisco 94158 CA, USA. Electronic address: carol.gross@ucsf.edu.

Funding

Cellular homeostasis pathways in bacteriaR35GM118061 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GROSS, CAROL ANNE · 2016 to 2025
$9.0M
NIGMS NIH HHS R35 GM118061
6 · The paper itself

Abstract

In this review we describe the application of CRISPR tools for functional genomics screens in bacteria, with a focus on the use of interference (CRISPRi) approaches. We review recent developments in CRISPRi titration, which has enabled essential gene functional screens, and genome-scale pooled CRISPRi screens. We summarize progress toward enabling CRISPRi screens in non-model and pathogenic bacteria, including the development of new dCas9 variants. Taking into account the current state of the field, we provide a forward-looking analysis of CRISPRi strategies for determining gene function in bacteria.

Indexed as

BacteriaClustered Regularly Interspaced Short Palindromic RepeatsGenes, BacterialGenome, Bacterial

Identifiers

PMID33285498
PMCPMC8331264

What OpenQuestion holds

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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.