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表观遗传谱指导人类 T 细胞中经改进的 CRISPR/Cas9 介导的基因敲除。

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

机构信息

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

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

出版信息

Nucleic Acids Res. 2024 Jan 11;52(1):141-153. doi: 10.1093/nar/gkad1076.

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.

摘要

基因修饰特定基因正成为增强过继免疫治疗中抗肿瘤 T 细胞功能的有用工具。目前,CRISPR/Cas9 技术的进展使得通过 Cas9 指导 RNA(gRNA)核糖核蛋白复合物的瞬时转染,在输注 T 细胞产品的体外制备过程中进行基因敲除成为可能。然而,选择最佳的 gRNA 仍然是有效基因敲除的主要挑战。尽管已经开发了多种用于预测靶向效率的计算工具,但它们在培养的人 T 细胞中的性能尚未得到验证。在这里,我们探索了一种使用我们在人类 T 细胞中 CRISPR/Cas9 介导的基因敲除的汇总数据来选择最佳 gRNA 的策略。目前可用的预测工具本身不足以准确预测 T 细胞中的缺失百分比。我们使用了来自转座酶可及染色质的高通量测序(ATAC-seq)获得的培养 T 细胞的表观遗传图谱数据。将表观遗传信息与基于序列的预测工具相结合,显著提高了基因编辑效率。我们进一步证明,通过在相邻区域设计两个 gRNA,可以靶向表观遗传封闭区域。最后,我们证明通过 IL-7 预处理可以增强未刺激的 T 细胞的基因编辑效率。这些发现使人类 T 细胞中的基因编辑更加高效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75c9/10783505/2eb516926d58/gkad1076figgra1.jpg

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