Evidence map›Paper›PMID 38217650›Full record

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

CRISPR Interference-Based Functional Small RNA Genomics.

Gianluca Prezza, Alexander J Westermann

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Lessons from the model gut BacteroidalesJournal of bacteriology · 2025
    Review
  2. 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.

Gianluca PrezzaHelmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany.
Alexander J WestermannHelmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany. alexander.westermann@uni-wuerzburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small RNAs (sRNAs) are versatile regulators universally present in species across the prokaryotic kingdom, yet their functional characterization remains a major bottleneck. Gene inactivation through random transposon insertion has proven extremely valuable in discovering hidden gene functions. However, this approach is biased toward long genes and usually results in the underrepresentation of sRNA mutants. In contrast, CRISPR interference (CRISPRi) harnesses guide RNAs to recruit cleavage-deficient Cas nucleases to specific DNA loci. The ensuing steric hindrance inhibits RNA polymerase assembly at-or migration along-predefined genes, allowing for targeted knockdown screens without major length bias. In this chapter, we provide a detailed protocol for CRISPRi-based functional screening of bacterial sRNAs. Using the abundant microbiota species Bacteroides thetaiotaomicron as a model, we describe the design and generation of a guide library targeting the full intergenic sRNA repertoire of this organism and its application to identify sRNA knockdown-associated fitness effects. Our protocol is generic and thus suitable for the systematic assessment of sRNA-associated phenotypes in a wide range of bacterial species and experimental conditions. We expect CRISPRi-based functional genomics to boost sRNA research in understudied bacterial taxa, for instance, members of the gut microbiota.

Indexed as

RNA, Guide, CRISPR-Cas SystemsRNA, Small UntranslatedBacteriaGenomicsRNA, BacterialRNA, UntranslatedRNA, BacterialRNA, Guide, CRISPR-Cas SystemsRNA, Small UntranslatedRNA, UntranslatedBacteroidesCas12aCRISPRiFunctional genomicsMicrobiotaNoncoding RNAsRNA

Identifiers

What OpenQuestion holds

Textmetadata
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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.