Evidence map›Paper›PMID 37985205›Full record

ArticleNucleic acids research2024

Epigenetic profiles guide improved CRISPR/Cas9-mediated gene knockout in human T cells.

Yusuke Ito, Satoshi Inoue, Takahiro Nakashima, Haosong Zhang, Yang Li, Hitomi Kasuya, Tetsuya Matsukawa, Zhiwen Wu, Toshiaki Yoshikawa, Mirei Kataoka and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

12 authors.

Yusuke ItoDivision of Tumor Immunology, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-3239-1152
Satoshi InoueDivision of Tumor Immunology, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan.
Takahiro NakashimaDivision of Tumor Immunology, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan.
Haosong ZhangDivision of Tumor Immunology, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan.
Yang LiDivision of Tumor Immunology, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0003-0584-0327
Hitomi KasuyaDivision of Immune Response, Aichi Cancer Center Research Institute, Nagoya, Japan.
Tetsuya MatsukawaDivision of Tumor Immunology, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan.
Zhiwen WuDivision of Immune Response, Aichi Cancer Center Research Institute, Nagoya, Japan.
Toshiaki YoshikawaDivision of Tumor Immunology, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan.
Mirei KataokaDivision of Tumor Immunology, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan.
Tetsuo IshikawaDepartment of Extended Intelligence for Medicine, The Ishii-Ishibashi Laboratory, Keio University School of Medicine, Tokyo, Japan.
Yuki KagoyaDivision of Tumor Immunology, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-6216-6730

Funding

Aichi Cancer Center Joint Research Project on Priority AreasAstellas Foundation for Research on Metabolic DisordersJapan Agency for Medical Research and Development JP22bm0704066Japan Science and Technology Agency JPMJFR2060Japan Society for the Promotion of Science JP20H03543Kobayashi Foundation for Cancer ResearchPrincess Takamatsunomiya Cancer Research FoundationSGH FoundationTakeda Science FoundationUehara Memorial Foundation
6 · The paper itself

Abstract

Genetic modification of specific genes is emerging as a useful tool to enhance the functions of antitumor T cells in adoptive immunotherapy. Current advances in CRISPR/Cas9 technology enable gene knockout during in vitro preparation of infused T-cell products through transient transfection of a Cas9-guide RNA (gRNA) ribonucleoprotein complex. However, selecting optimal gRNAs remains a major challenge for efficient gene ablation. Although multiple in silico tools to predict the targeting efficiency have been developed, their performance has not been validated in cultured human T cells. Here, we explored a strategy to select optimal gRNAs using our pooled data on CRISPR/Cas9-mediated gene knockout in human T cells. The currently available prediction tools alone were insufficient to accurately predict the indel percentage in T cells. We used data on the epigenetic profiles of cultured T cells obtained from transposase-accessible chromatin with high-throughput sequencing (ATAC-seq). Combining the epigenetic information with sequence-based prediction tools significantly improved the gene-editing efficiency. We further demonstrate that epigenetically closed regions can be targeted by designing two gRNAs in adjacent regions. Finally, we demonstrate that the gene-editing efficiency of unstimulated T cells can be enhanced through pretreatment with IL-7. These findings enable more efficient gene editing in human T cells.

Indexed as

CRISPR-Cas SystemsGene Knockout TechniquesT-LymphocytesGene EditingHumans

Identifiers

PMID37985205
PMCPMC10783505

What OpenQuestion holds

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Registered trials

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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.