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深红色和超快光催化邻近标记助力剖析原发性组织中的肿瘤-免疫相互作用

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

作者信息

Lou Zhizheng, Zhang Yan, Liang Xuan, Cao Mengrui, Ma Yicong, Chen Peng R, Fan Xinyuan

机构信息

Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.

Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China.

出版信息

J Am Chem Soc. 2025 Mar 19;147(11):9716-9726. doi: 10.1021/jacs.4c17879. Epub 2025 Mar 4.

Abstract

Immunotherapy efficacy in solid tumors varies greatly, influenced by the tumor microenvironment (TME) and the dynamic tumor-immune interactions within it. Decoding these interactions with minimal interference with 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 nongenetically encoded platform with high sensitivity and spatiotemporal controllability for rapid profiling tumor-immune interactions within complex tissue environments , which may advance our understanding of tumor immunology and guide the development of more effective immunotherapies.

摘要

免疫疗法在实体瘤中的疗效差异很大,受肿瘤微环境(TME)及其内部动态的肿瘤-免疫相互作用影响。在对天然组织结构和微妙免疫反应干扰最小的情况下解码这些相互作用,对于理解肿瘤进展和优化治疗策略至关重要。在此,我们介绍CAT-Tissue,一种新型的深红色光催化邻近标记方法,可对原发性组织中的肿瘤-免疫相互作用进行超快速、高分辨率分析。通过利用纳米抗体-叶绿素e6作为光催化剂,生物素-苯胺作为探针,CAT-Tissue能够在共培养系统和原发性肿瘤切片中快速、全面地检测各种肿瘤-免疫相互作用。结合批量RNA测序,CAT-Tissue揭示了肿瘤邻近淋巴细胞和肿瘤远端淋巴细胞之间不同的基因表达模式,突出了肿瘤邻近CD8 T细胞的识别和免疫反应,这些细胞表现出激活、效应和耗竭表型。通过利用具有出色组织穿透性和生物相容性的深红色光催化邻近细胞标记策略,CAT-Tissue提供了一个非基因编码平台,具有高灵敏度和时空可控性,可在复杂组织环境中快速分析肿瘤-免疫相互作用,这可能会增进我们对肿瘤免疫学的理解,并指导开发更有效的免疫疗法。

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