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

Author:

Ito Yusuke12ORCID,Inoue Satoshi12,Nakashima Takahiro123,Zhang Haosong124,Li Yang124ORCID,Kasuya Hitomi2,Matsukawa Tetsuya125,Wu Zhiwen2,Yoshikawa Toshiaki12,Kataoka Mirei1,Ishikawa Tetsuo678,Kagoya Yuki124ORCID

Affiliation:

1. Division of Tumor Immunology, Institute for Advanced Medical Research, Keio University School of Medicine , Tokyo , Japan

2. Division of Immune Response, Aichi Cancer Center Research Institute , Nagoya , Japan

3. Department of Hematology and Oncology, Nagoya City University Graduate School of Medical Sciences , Nagoya , Japan

4. Division of Cellular Oncology, Department of Cancer Diagnostics and Therapeutics, Nagoya University Graduate School of Medicine , Nagoya , Japan

5. Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine , Nagoya , Japan

6. Department of Extended Intelligence for Medicine, The Ishii-Ishibashi Laboratory, Keio University School of Medicine , Tokyo , Japan

7. Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters , RIKEN, Yokohama , Japan

8. Collective Intelligence Research Laboratory, Graduate School of Arts and Sciences, The University of Tokyo , Tokyo , Japan

Abstract

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.

Funder

Japan Agency for Medical Research and Development

Japan Science and Technology Agency

Japan Society for the Promotion of Science

Aichi Cancer Center Joint Research Project on Priority Areas

Princess Takamatsunomiya Cancer Research Foundation

Takeda Science Foundation

Uehara Memorial Foundation

Astellas Foundation for Research on Metabolic Disorders

SGH Foundation

Kobayashi Foundation for Cancer Research

Publisher

Oxford University Press (OUP)

Subject

Genetics

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