Evidence map›Paper›PMID 39952934›Full record

ArticleNature communications2025

Evaluation of Cas13d as a tool for genetic interaction mapping.

Ghanem El Kassem, Jasmine Hillmer, Michael Boettcher

Abstract read
In one paragraph

Article in Nature communications, 2025. 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. Article
  2. A Modular and Programmable Cas13d Platform for RNA Single Nucleotide Variant Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

3 authors.

Ghanem El KassemUniversitätsmedizin Halle, Martin Luther University Halle-Wittenberg, Halle (Saale), 06120, Halle, Germany.
Jasmine HillmerUniversitätsmedizin Halle, Martin Luther University Halle-Wittenberg, Halle (Saale), 06120, Halle, Germany.
Michael BoettcherUniversitätsmedizin Halle, Martin Luther University Halle-Wittenberg, Halle (Saale), 06120, Halle, Germany. michael.boettcher@medizin.uni-halle.de.ORCID http://orcid.org/0000-0003-0986-4465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mapping genetic interactions (GIs) is crucial for understanding genetic network complexity. In this study, we investigate the utility of Cas13d, a CRISPR system targeting RNA, for GI mapping and compare it to Cas9 and Cas12a, two DNA nucleases commonly used for GI mapping. We find that Cas13d induces faster target gene perturbation and generates more uniform cell populations with double perturbations than Cas9 or Cas12a. We then encounter Cas13d gRNA-gRNA interference when concatenating gRNAs targeting different genes into one gRNA array, which we overcome by a dual promoter gRNA expression strategy. Moreover, by concatenating three gRNAs targeting the same gene into one array, we are able to maximize the Cas13d-mediated knockdown effects. Combining these strategies enhances proliferation phenotypes while reducing library size and facilitates reproducible quantification of GIs in oncogenic signaling pathways. Our study highlights the potential of Cas13d for GI mapping, promising advancements in understanding therapeutically relevant drug response pathways.

Indexed as

Chromosome MappingCRISPR-Associated ProteinsCRISPR-Cas SystemsEndodeoxyribonucleasesBacterial ProteinsGene Regulatory NetworksHEK293 CellsHumansRNA, Guide, CRISPR-Cas SystemsBacterial ProteinsCas12a proteinCRISPR-Associated ProteinsEndodeoxyribonucleasesRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID39952934
PMCPMC11828948

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.