Evidence map›Paper›PMID 41954981›Full record

ArticleNucleic acids research2026

Efficient multi-kilobase knock-ins in mice and cell lines using CRISPR/Cas9 and rAAV donors with unbiased whole-genome characterization by LOCK-seq.

Monica F Sentmanat, Zi Teng Wang, Evguenia Kouranova, Samuel T Peters, Wan Ching Chan, Jed Lin, Yong Miao, J Michael White, Mia Wallace, Xiaoxia Cui

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Monica F SentmanatGenome Engineering & Stem Cell Center, McDonnell Genome Institute, Dept. of Genetics, Washington University in St. Louis School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States.ORCID 0009-0006-7084-5705
Zi Teng WangGenome Engineering & Stem Cell Center, McDonnell Genome Institute, Dept. of Genetics, Washington University in St. Louis School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States.
Evguenia KouranovaGenome Engineering & Stem Cell Center, McDonnell Genome Institute, Dept. of Genetics, Washington University in St. Louis School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States.
Samuel T PetersGenome Engineering & Stem Cell Center, McDonnell Genome Institute, Dept. of Genetics, Washington University in St. Louis School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States.
Wan Ching ChanGenome Engineering & Stem Cell Center, McDonnell Genome Institute, Dept. of Genetics, Washington University in St. Louis School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States.
Jed LinGenome Engineering & Stem Cell Center, McDonnell Genome Institute, Dept. of Genetics, Washington University in St. Louis School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States.
Yong MiaoGenome Engineering & Stem Cell Center, McDonnell Genome Institute, Dept. of Genetics, Washington University in St. Louis School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States.ORCID 0009-0009-6261-7595
J Michael WhiteTransgenic, Knockout and Microinjection Core, Department of Pathology & Immunology, Washington University in St. Louis School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States.
Mia WallaceMouse Genetics Core, Department of Pediatrics, Washington University in St. Louis School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States.
Xiaoxia CuiGenome Engineering & Stem Cell Center, McDonnell Genome Institute, Dept. of Genetics, Washington University in St. Louis School of Medicine, 660 S. Euclid Ave, St. Louis, MO 63110, United States.ORCID 0000-0002-3073-7332

Funding

Washington University Rheumatic DiseasesResearch Resource-based CenterP30AR073752 · NIAMS · WASHINGTON UNIVERSITY · PI Alfred Hyoungju Kim · 2018 to 2026
$7.6M
Alvin J. Siteman Cancer CenterNIAMS NIH HHS P30 AR073752
6 · The paper itself

Abstract

Multi-kilobase knock-ins (KIs) are a necessary, yet challenging type of genome editing to create and characterize in cell lines and animals. The combination of rAAV donor transduction and electroporation of single-cell mouse embryos with Cas9/gRNA ribonucleoprotein complex enables highly efficient KI, but the insert size is limited by the viral packaging capacity. Here, we report the creation of up to 6.7 kb precise KI achieved in one step by using three rAAVs designed to insert one after the other. To fully characterize the edited genome with large KIs, we developed LOCK-seq (LOng-read sequencing of Captured Kilo-base targets), where relevant genomic regions are enriched via hybridization, achieving over 100-fold greater coverage compared with other long-read methods with enrichment. LOCK-seq simultaneously detects the presence of precise KI alleles, imprecision in the insert and donor concatenation, genotypes of non-KI alleles, and more importantly, uniquely identifies and localizes random integration of the full or partial donor(s). Additionally, the multi-rAAV donor approach is successfully applied to cell lines, including lines intolerant of plasmid DNA, whereas LOCK-seq reliably and efficiently screens for KI clones. Together, the two approaches significantly improve the creation and precision of knock-in models.

Indexed as

CRISPR-Cas SystemsDependovirusGene EditingGene Knock-In TechniquesAnimalsCell LineGenomeHumansMiceRNA, Guide, CRISPR-Cas SystemsRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID41954981
PMCPMC13062780

What Socratic 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 Socratic graph.