New tool maps immune cell surface in unprecedented detail, opening door to better CAR T therapies
Scientists have developed a sequencing-based method that can map 155 protein interactions on individual immune cells without microscopy, revealing how CAR T cells reorganize when attacking tumors. The breakthrough could help manufacturers design more effective cell therapies by identifying which protein arrangements make treatments work best.
Originaltitel: Abstract B012: Decoding CAR T Cell Membrane Architecture with the Proximity Network Assay
Abstract Membrane protein organization plays a critical role in shaping CAR T cell function, yet current tools lack the resolution to study these interactions at scale and in single cells. Here, we present the Proximity Network Assay, a novel sequencing-based platform for single-cell protein interactomics, capable of resolving the spatial organization and abundance of 155 surface proteins in thousands of individual cells without the use of optics. This method leverages DNA-barcoded antibodies, proximity-dependent ligation, and high-throughput sequencing to generate nanoscale “proxiomes” that describe how membrane proteins cluster and interact within single cells. Applying the assay to CD19 CAR T cells, we profiled both resting cells and those cocultured with CD19+ tumor targets. At baseline, the CD19 Chimeric Antigen Receptor co-localized with CD8, CD5, and ICAM-1, and was spatially excluded from lipid raft-associated proteins such as CD59 and CD55—mirroring endogenous TCR organization. Upon tumor engagement, we detected significant remodeling of the surface proteome, including upregulation of activation markers and checkpoint molecules like 4-1BB, PD-1, and GITR. Importantly, the assay’s spatial resolution enabled us to distinguish true upregulation from trogocytosis, revealing that exhausted CAR T cells preferentially accumulate tumor-derived membrane fragments. The Proximity Network Assay opens a new dimension in immune cell profiling by integrating spatial context with multiplex protein quantification. This approach offers powerful capabilities for dissecting the functional architecture of immune cells and holds promise for advancing both basic research and translational applications in immunotherapy. Citation Format: Hanna van Ooijen, Divya Thiagarajan, Filip Karlsson, Michael Forster, William Love, Ludvig Larsson, Vincent van Hoef, Jerell Aguila, Simon Fredriksson. Decoding CAR T Cell Membrane Architecture with the Proximity Network Assay [abstract]. In: Proceedings of the AACR Immuno-Oncology Conference (AACR IO): Discovery and Innovation in Cancer Immunology: Revolutionizing Treatment through Immunotherapy; 2026 Feb 18-21; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Immunol Res 2026;14(2 Suppl):Abstract nr B012.