通过单细胞转录组学监测靶向cd8的慢病毒载体的CAR - T细胞生成。

Molecular Therapy. Methods & Clinical Development Pub Date : 2021-10-05 eCollection Date: 2021-12-10 DOI:10.1016/j.omtm.2021.09.019
Filippos T Charitidis, Elham Adabi, Frederic B Thalheimer, Colin Clarke, Christian J Buchholz
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引用次数: 6

摘要

量化单个细胞中的基因表达可以大大提高我们对复杂的基因工程细胞产物(如嵌合抗原受体(CAR) T细胞)的理解。在这里,我们设计了一种单细胞RNA测序(scRNA-seq)方法来监测CD19-CAR基因通过慢病毒载体(lv)传递,即传统的水疱性口炎病毒(VSV)-LV和靶向cd8的CD8-LV。用400个免疫反应相关基因(包括lv特异性探针)对lv暴露的人供体外周血单个核细胞(PBMCs)进行评估。结果数据显示CAR和CD8A的三峰表达,需要在scRNA-seq分析中对CAR T细胞和CD8+淋巴细胞进行基于分布的仔细鉴定。表达高CAR水平的T细胞比例与流式细胞术结果一致。超过97%被CD8-LV击中的细胞表达了CD8A基因。值得注意的是,大多数潜在的脱靶细胞实际上是靶细胞,导致靶细胞选择性超过99%。除此之外,差异基因表达分析揭示了限制性因子在CAR阴性细胞中的上调,从而解释了它们对CAR基因转移的保护作用。总之,我们为scRNA-seq提供了一个工作流程和子集方法,可以在CAR - T细胞生成过程中可靠地区分转导细胞和未转导细胞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Monitoring CAR T cell generation with a CD8-targeted lentiviral vector by single-cell transcriptomics.

Monitoring CAR T cell generation with a CD8-targeted lentiviral vector by single-cell transcriptomics.

Monitoring CAR T cell generation with a CD8-targeted lentiviral vector by single-cell transcriptomics.

Monitoring CAR T cell generation with a CD8-targeted lentiviral vector by single-cell transcriptomics.

Quantifying gene expression in individual cells can substantially improve our understanding about complex genetically engineered cell products such as chimeric antigen receptor (CAR) T cells. Here we designed a single-cell RNA sequencing (scRNA-seq) approach to monitor the delivery of a CD19-CAR gene via lentiviral vectors (LVs), i.e., the conventional vesicular stomatitis virus (VSV)-LV and the CD8-targeted CD8-LV. LV-exposed human donor peripheral blood mononuclear cells (PBMCs) were evaluated for a panel of 400 immune response-related genes including LV-specific probes. The resulting data revealed a trimodal expression for the CAR and CD8A, demanding a careful distribution-based identification of CAR T cells and CD8+ lymphocytes in scRNA-seq analysis. The fraction of T cells expressing high CAR levels was in concordance with flow cytometry results. More than 97% of the cells hit by CD8-LV expressed the CD8A gene. Remarkably, the majority of the potential off-target cells were in fact on-target cells, resulting in a target cell selectivity of more than 99%. Beyond that, differential gene expression analysis revealed the upregulation of restriction factors in CAR-negative cells, thus explaining their protection from CAR gene transfer. In summary, we provide a workflow and subsetting approach for scRNA-seq enabling reliable distinction between transduced and untransduced cells during CAR T cell generation.

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