Evidence map›Paper›PMID 40103232›Full record

ArticleNucleic acids research2025

Optimizing gRNA selection for high-penetrance F0 CRISPR screening for interrogating disease gene function.

Sheng-Jia Lin, Kevin Huang, Cassidy Petree, Wei Qin, Pratishtha Varshney, Gaurav K Varshney

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  7. Observational
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  11. CRISPR-based functional genomics tools in vertebrate models.Experimental & molecular medicine · 2025
    Review
  12. AFrontiers in genetics · 2025
    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

6 authors.

Sheng-Jia LinGenes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, United States.ORCID 0000-0002-7559-6529
Kevin HuangGenes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, United States.ORCID 0000-0002-2512-7812
Cassidy PetreeGenes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, United States.ORCID 0000-0002-9379-2400
Wei QinGenes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, United States.ORCID 0000-0003-2158-0553
Pratishtha VarshneyGenes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, United States.ORCID 0000-0002-2619-7775
Gaurav K VarshneyGenes & Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, United States.ORCID 0000-0002-0429-1904

Funding

Development of scalable methods for rapid phenotyping and functional testing of variantsR24OD034438 · OD · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI Gaurav K Varshney · 2024 to 2026
$1.8M
Functional Analysis of GWAS loci associated with hearing loss.R21DC020317 · NIDCD · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI VARSHNEY, GAURAV K · 2023 to 2024
$469k
NIDCD NIH HHS R21 DC020317NIH HHS R24 OD034438Oklahoma Medical Research FoundationUS National Institutes of Health R21DC020317
6 · The paper itself

Abstract

Genes and genetic variants associated with human disease are continually being discovered, but validating their causative roles and mechanisms remains a significant challenge. CRISPR/Cas9 genome editing in model organisms like zebrafish can enable phenotypic characterization of founder generation (F0) knockouts (Crispants), but existing approaches are not amenable to high-throughput genetic screening due to high variability, cost, and low phenotype penetrance. To overcome these challenges, here we provide guide RNA (gRNA) selection rules that enable high phenotypic penetrance of up to three simultaneous knockouts in F0 animals following injection of 1-2 gRNAs per gene. We demonstrate a strong transcriptomic overlap in our F0 knockouts and stable knockout lines that take several months to generate. We systematically evaluated this approach across 324 gRNAs targeting 125 genes and demonstrated its utility in studying epistasis, characterizing paralogous genes, and validating human disease gene phenotypes across multiple tissues. Applying our approach in a high-throughput manner, we screened and identified 10 novel neurodevelopmental disorders and 50 hearing genes not previously studied in zebrafish. Altogether, our approach achieves high phenotypic penetrance using low numbers of gRNAs per gene in F0 zebrafish, offering a robust pipeline for rapidly characterizing candidate human disease genes.

Indexed as

CRISPR-Cas SystemsGene EditingGenetic TestingPenetranceRNA, Guide, CRISPR-Cas SystemsAnimalsEpistasis, GeneticGene Knockout TechniquesHumansPhenotypeZebrafishRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID40103232
PMCPMC11915512

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.