诱导多能干细胞
数字聚合酶链反应
计算生物学
残余物
生物
化学
癌症研究
胚胎干细胞
基因
计算机科学
生物化学
聚合酶链反应
算法
作者
Satoshi Yasuda,Kiyoko Bando,Marianne P Henry,Silvana Libertini,Takeshi Watanabe,Hiroto Bando,Connie L. Chen,Koki Fujimori,Kosuke Harada,Takuya Kuroda,Myriam Lemmens,Dragos Marginean,D.W. Moss,Lucilia Pereira Mouriès,Nicole S. Nicholas,Matthew Smart,Orie Terai,Yoji Sato
标识
DOI:10.1093/stcltm/szae058
摘要
Abstract The presence of residual undifferentiated pluripotent stem cells (PSCs) in PSC-derived cell therapy products (CTPs) is a major safety issue for their clinical application, due to the potential risk of PSC-derived tumor formation. An international multidisciplinary multisite study to evaluate a droplet digital PCR (ddPCR) approach to detect residual undifferentiated PSCs in PSC-derived CTPs was conducted as part of the Health and Environmental Sciences Institute Cell Therapy-TRAcking, Circulation & Safety Technical Committee. To evaluate the use of ddPCR in quantifying residual iPSCs in a cell sample, different quantities of induced pluripotent stem cells (iPSCs) were spiked into a background of iPSC-derived cardiomyocytes (CMs) to mimic different concentrations of residual iPSCs. A one step reverse transcription ddPCR (RT-ddPCR) was performed to measure mRNA levels of several iPSC-specific markers and to evaluate the assay performance (precision, sensitivity, and specificity) between and within laboratories. The RT-ddPCR assay variability was initially assessed by measuring the same RNA samples across all participating facilities. Subsequently, each facility independently conducted the entire process, incorporating the spiking step, to discern the parameters influencing potential variability. Our results show that a RT-ddPCR assay targeting ESRG, LINC00678, and LIN28A genes offers a highly sensitive and robust detection of impurities of iPSC-derived CMs and that the main contribution to variability between laboratories is the iPSC-spiking procedure, and not the RT-ddPCR. The RT-ddPCR assay would be generally applicable for tumorigenicity evaluation of PSC-derived CTPs with appropriate marker genes suitable for each CTP.
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