Epigenetic profiles guide improved CRISPR/Cas9-mediated gene knockout in human T cells.
Yusuke ItoSatoshi InoueTakahiro NakashimaHaosong ZhangYang LiHitomi KasuyaTetsuya MatsukawaZhiwen WuToshiaki YoshikawaMirei KataokaTetsuo IshikawaYuki KagoyaPublished in: Nucleic acids research (2023)
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.
Keyphrases
- crispr cas
- endothelial cells
- genome wide
- genome editing
- dna methylation
- copy number
- gene expression
- induced pluripotent stem cells
- genome wide identification
- healthcare
- electronic health record
- clinical trial
- dna damage
- big data
- randomized controlled trial
- transcription factor
- oxidative stress
- machine learning
- mesenchymal stem cells
- drug delivery
- artificial intelligence
- blood brain barrier
- placebo controlled
- data analysis
- simultaneous determination