Evidence map›Paper›PMID 41118579›Full record

ArticleNucleic acids research2025

The knock-in atlas: a web resource for targeted protein trap by CRISPR/Cas9 in human and mouse cell lines.

Yuma Hanai, Patrick Louis Lagman Hilario, Yuriko Shiraishi, Nobuyasu Yoshida, Suzuna Murakami, Yuji Shimizu, Norisuke Kano, Minami Kojima, Kokoro Murai, Taro Kawai and 1 more

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Yuma HanaiLaboratory of RNA Molecular Medicine, Nara Institute of Science and Technology, Takayama 8916-5 Ikoma Nara 630-0192, Japan.
Patrick Louis Lagman HilarioLaboratory of RNA Molecular Medicine, Nara Institute of Science and Technology, Takayama 8916-5 Ikoma Nara 630-0192, Japan.
Yuriko ShiraishiLaboratory of RNA Molecular Medicine, Nara Institute of Science and Technology, Takayama 8916-5 Ikoma Nara 630-0192, Japan.
Nobuyasu YoshidaLaboratory of RNA Molecular Medicine, Nara Institute of Science and Technology, Takayama 8916-5 Ikoma Nara 630-0192, Japan.
Suzuna MurakamiLaboratory of RNA Molecular Medicine, Nara Institute of Science and Technology, Takayama 8916-5 Ikoma Nara 630-0192, Japan.
Yuji ShimizuLaboratory of RNA Molecular Medicine, Nara Institute of Science and Technology, Takayama 8916-5 Ikoma Nara 630-0192, Japan.
Norisuke KanoLaboratory of Molecular Immunobiology, Nara Institute of Science and Technology, Takayama 8916-5 Ikoma Nara 630-0192, Japan.
Minami KojimaLaboratory of Molecular Immunobiology, Nara Institute of Science and Technology, Takayama 8916-5 Ikoma Nara 630-0192, Japan.
Kokoro MuraiLaboratory of Molecular Immunobiology, Nara Institute of Science and Technology, Takayama 8916-5 Ikoma Nara 630-0192, Japan.
Taro KawaiLaboratory of Molecular Immunobiology, Nara Institute of Science and Technology, Takayama 8916-5 Ikoma Nara 630-0192, Japan.
Katsutomo OkamuraLaboratory of RNA Molecular Medicine, Nara Institute of Science and Technology, Takayama 8916-5 Ikoma Nara 630-0192, Japan.ORCID 0000-0002-8316-0960

Funding

Academic Assistant Grant by Office for Gender Equality at NAISTJSPS 23K14546JSPS Found for the Promotion of Joint International Research 17K20145JSPS Research Fellowship 24KJ1692KAKENHI 20H03468NAIST for the Creation of Innovation in Science and TechnologyNAIST Granite Program 25KJ1828Takeda Science Foundation
6 · The paper itself

Abstract

Various cell engineering techniques have been developed by leveraging the CRISPR-Cas9 technology, but large-scale resources for targeted gene knock-in are still limited. Here we introduce the Knock-in Atlas, a web resource for gene tagging by fluorescent proteins by inserting artificial exons in target gene introns. To produce knock-in cells efficiently and reproducibly, we carefully chose and catalogued guide RNAs (gRNAs) for targeting genes in the human and mouse genomes by taking the gRNA efficacy scores and protein structures around the insertion sites into account. As of August 2025, we have characterized knock-in cell lines for 350 proteins, with a focus on RNA binding proteins, by flow cytometry and confocal microscopy. The transfection and flow cytometry protocols were optimized for several cell lines including HEK293T, eHAP1, HeLa, THP-1, Neuro2a, mouse embryonic fibroblast (MEF) and mouse embryonic stem cell (mESC). A website has been launched to organize the results of initial characterization including flow cytometry data after transfection, confocal microscopy, and western blot results for the genes for which knock-in HEK293T cell lines were already made. The site also provides a database to organize the information of pre-designed gRNAs for the human and mouse genomes. <https://rnabio.naist.jp/atlas/>.

Indexed as

CRISPR-Cas SystemsDatabases, GeneticGene Knock-In TechniquesAnimalsCell LineHEK293 CellsHeLa CellsHumansInternetMiceRNA-Binding ProteinsRNA, Guide, CRISPR-Cas SystemsRNA-Binding ProteinsRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID41118579
PMCPMC12539675

What OpenQuestion holds

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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.