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Deep-Red and Ultrafast Photocatalytic Proximity Labeling Empowered in situ Dissection of Tumor-Immune Interactions in Primary Tissues

GSE288148 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2025/03/06 Platform GPL34290
Summary
Immunotherapy efficacy in solid tumors varies greatly, influenced by the tumor microenvironment (TME) and the dynamic tumor-immune interactions within it. Decoding these interactions in situ with minimal interference to native tissue architecture and delicate immune responses is critical for understanding tumor progression and optimizing therapeutic strategies. Here, we introduce CAT-Tissue, a novel deep-red photocatalytic proximity labeling method that enables ultrafast, high-resolution profiling of tumor-immune interactions in primary tissues. By leveraging nanobody-Chlorin e6 as the photocatalyst and biotin-aniline as the probe, CAT-Tissue enabled the rapid and comprehensive detection of various tumor-immune interactions in both coculture systems and primary tumor sections. Coupled with bulk RNA-sequencing, CAT-Tissue revealed distinct gene expression patterns between tumor-neighboring and tumor-distal lymphocytes, highlighting the recognition and immune responses of tumor-neighboring CD8+ T cells, which exhibited activated, effector, and exhausted phenotypes. By leveraging a deep-red photocatalytic proximity cell labeling strategy with excellent tissue penetration and biocompatibility, CAT-Tissue offers a non-genetically encoded platform with high sensitivity and spatiotemporal controllability for rapid profiling tumor-immune interactions within complex tissue environments in situ, which may advance our understanding of tumor immunology and guide the development of more effective immunotherapies.
Published in
Deep-Red and Ultrafast Photocatalytic Proximity Labeling Empowered In Situ Dissection of Tumor-Immune Interactions in Primary Tissues
Lou Z, Zhang Y, Liang X et al. · Journal of the American Chemical Society 2025 · PMID 40036744 · doi:10.1021/jacs.4c17879
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Also filed as BioProject PRJNA1216283 and SRA study SRP560234. Searching any of these in the dataset finder brings you back here.

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