Joint Department of Biomedical Engineering, University of North Carolina, Chapel Hill, North Carolina, USA.
North Carolina State University, Raleigh, North Carolina, USA.
Cytometry A. 2023 Mar;103(3):208-220. doi: 10.1002/cyto.a.24678. Epub 2022 Aug 8.
Chimeric antigen receptor T (CAR-T) cell immunotherapies have seen success in treating hematological malignancies in recent years; however, the results can be highly variable. Single cell heterogeneity plays a key role in the variable efficacy of CAR-T cell treatments yet is largely unexplored. A major challenge is to understand the killing behavior and phenotype of individual CAR-T cells, which are able to serially kill targets. Thus, a platform capable of measuring time-dependent CAR-T cell mediated killing and then isolating single cells for downstream assays would be invaluable in characterizing CAR-T cells. An automated microraft array platform was designed to track CD19 CAR-T cell killing of CD19+ target cells and CAR-T cell motility over time followed by CAR-T cell collection based on killing behavior. The platform demonstrated automated CAR-T cell counting with up to 98% specificity and 96% sensitivity, and single cells were isolated with 89% efficiency. On average, 2.3% of single CAR-T cells were shown to participate in serial-killing of target cells, killing a maximum of three target cells in a 6 h period. The cytotoxicity and motility of >7000 individual CAR-T cells was tracked across four microraft arrays. The automated microraft array platform measured temporal cell-mediated cytotoxicity, CAR-T cell motility, CAR-T cell death, and CAR-T cell to target cell distances, followed by the capability to sort any desired CAR-T cell. The pipeline has the potential to further our understanding of T cell-based cancer immunotherapies and improve cell-therapy products for better patient outcomes.
嵌合抗原受体 T (CAR-T) 细胞免疫疗法近年来在治疗血液恶性肿瘤方面取得了成功;然而,结果可能差异很大。单细胞异质性在 CAR-T 细胞治疗效果的可变性中起着关键作用,但在很大程度上尚未得到探索。一个主要的挑战是了解单个 CAR-T 细胞的杀伤行为和表型,这些细胞能够连续杀伤靶细胞。因此,一个能够测量 CAR-T 细胞介导的杀伤的时间依赖性并随后基于杀伤行为分离单个细胞进行下游分析的平台对于表征 CAR-T 细胞将是非常宝贵的。设计了一种自动化微筏阵列平台来跟踪 CD19 CAR-T 细胞对 CD19+靶细胞的杀伤作用和 CAR-T 细胞随时间的迁移行为,然后根据杀伤行为收集 CAR-T 细胞。该平台展示了高达 98%特异性和 96%灵敏度的自动 CAR-T 细胞计数,以及 89%的单细胞分离效率。平均而言,有 2.3%的单个 CAR-T 细胞被证明参与了靶细胞的连续杀伤,在 6 小时内最多可以杀伤三个靶细胞。在四个微筏阵列上跟踪了超过 7000 个单个 CAR-T 细胞的细胞毒性和迁移能力。自动化微筏阵列平台测量了时间依赖性细胞介导的细胞毒性、CAR-T 细胞迁移能力、CAR-T 细胞死亡和 CAR-T 细胞与靶细胞的距离,然后具有分选任何所需 CAR-T 细胞的能力。该流水线有可能进一步了解基于 T 细胞的癌症免疫疗法,并改善细胞治疗产品,以获得更好的患者结果。