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Library-based single-cell analysis of CAR signaling reveals drivers of in vivo persistence. | LitMetric

Library-based single-cell analysis of CAR signaling reveals drivers of in vivo persistence.

Cell Syst

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; Ragon Institute of MIT, MGH and Harvard, Cambridge, MA

Published: May 2025


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Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097926PMC
http://dx.doi.org/10.1016/j.cels.2025.101260DOI Listing

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