类有机物
癌细胞
转录组
计算生物学
癌症研究
免疫系统
生物
癌症
体外
细胞生物学
基因
免疫学
基因表达
遗传学
作者
Johanna F. Dekkers,María Alieva,Astrid Cleven,Farid Keramati,Amber K. L. Wezenaar,Esmée J. van Vliet,Jens Puschhof,Péter Brázda,Inez Johanna,Angelo D. Meringa,Heggert Rebel,Maj‐Britt Buchholz,Mario Barrera Román,Amber L. Zeeman,Sam de Blank,Domenico Fasci,Maarten H. Geurts,Annelisa M. Cornel,Else Driehuis,Rosemary Millen
标识
DOI:10.1038/s41587-022-01397-w
摘要
Extending the success of cellular immunotherapies against blood cancers to the realm of solid tumors will require improved in vitro models that reveal therapeutic modes of action at the molecular level. Here we describe a system, called BEHAV3D, developed to study the dynamic interactions of immune cells and patient cancer organoids by means of imaging and transcriptomics. We apply BEHAV3D to live-track >150,000 engineered T cells cultured with patient-derived, solid-tumor organoids, identifying a 'super engager' behavioral cluster comprising T cells with potent serial killing capacity. Among other T cell concepts we also study cancer metabolome-sensing engineered T cells (TEGs) and detect behavior-specific gene signatures that include a group of 27 genes with no previously described T cell function that are expressed by super engager killer TEGs. We further show that type I interferon can prime resistant organoids for TEG-mediated killing. BEHAV3D is a promising tool for the characterization of behavioral-phenotypic heterogeneity of cellular immunotherapies and may support the optimization of personalized solid-tumor-targeting cell therapies.
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