Perez Caleb R, Garmilla Andrea, Nilsson Avlant, Baghdassarian Hratch M, Gordon Khloe S, Lima Louise G, Smith Blake E, Maus Marcela V, Lauffenburger Douglas A, Birnbaum Michael E
Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Singapore-MIT Alliance for Research and Technology Centre, Singapore, Singapore.
Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Singapore-MIT Alliance for Research and Technology Centre, Singapore, Singapore; Program in Immunology, Harvard Medical School, Boston, MA, USA; Kranz Family Center for Cancer Research and Cellular Immunotherapy Program, Massachusetts General Hospital, Charlestown, MA, USA.
Cell Syst. 2025 May 21;16(5):101260. doi: 10.1016/j.cels.2025.101260. Epub 2025 Apr 10.
The anti-tumor function of engineered T cells expressing chimeric antigen receptors (CARs) is dependent on signals transduced through intracellular signaling domains (ICDs). Different ICDs are known to drive distinct phenotypes, but systematic investigations into how ICD architectures direct T cell function-particularly at the molecular level-are lacking. Here, we use single-cell sequencing to map diverse signaling inputs to transcriptional outputs, focusing on a defined library of clinically relevant ICD architectures. Informed by these observations, we functionally characterize transcriptionally distinct ICD variants across various contexts to build comprehensive maps from ICD composition to phenotypic output. We identify a unique tonic signaling signature associated with a subset of ICD architectures that drives durable in vivo persistence and efficacy in liquid, but not solid, tumors. Our findings work toward decoding CAR signaling design principles, with implications for the rational design of next-generation ICD architectures optimized for in vivo function.
表达嵌合抗原受体(CAR)的工程化T细胞的抗肿瘤功能依赖于通过细胞内信号结构域(ICD)转导的信号。已知不同的ICD会驱动不同的表型,但缺乏对ICD结构如何指导T细胞功能的系统研究,尤其是在分子水平上。在这里,我们使用单细胞测序将多种信号输入映射到转录输出,重点关注临床相关ICD结构的特定文库。基于这些观察结果,我们在各种背景下对转录上不同的ICD变体进行功能表征,以构建从ICD组成到表型输出的综合图谱。我们确定了与ICD结构子集相关的独特的张力信号特征,该特征驱动在液体肿瘤而非实体肿瘤中的持久体内持久性和疗效。我们的研究结果致力于解码CAR信号设计原则,对优化体内功能的下一代ICD结构的合理设计具有启示意义。