生物素化
链霉亲和素
细胞
化学
计算生物学
生物素
纳米技术
组合化学
生物
生物化学
材料科学
作者
Zhiguo Gao,Ke Qin,Wei He,Yi Liang,Jiaying Yu,Zhimei Wang,Xuejing Li,Jian Chen,Zhuoer Cai,Jinzhong Hu,Huayu Liu,Dandan Wang,Yaojia Li,Bai‐Wang Sun
出处
期刊:Angewandte Chemie
[Wiley]
日期:2025-02-21
卷期号:64 (20): e202424738-e202424738
被引量:3
标识
DOI:10.1002/anie.202424738
摘要
Proximity labeling platforms (PLPs) have become a powerful tool for studying spatial cell-cell interactions (CCIs) in living organisms. However, their effectiveness often relies on membranal catalytic modules of bait cells, such as natural enzymes or small-molecule photocatalysts, which are typically constrained by complex genetic modifications or the limited applicability of visible light. Here, we present a novel chemocatalytic approach, ArM-Tag, which utilizes an engineered artificial metalloenzyme (ArM) for cell surface-localized tagging. The ArM-Tag system combines a palladium (Pd) cofactor, a lipid anchor, and a streptavidin (SAV) scaffold to catalyze the O-deallylation reaction on the surface of target cells, generating short-lived electrophilic intermediates that label neighboring cells within a micrometer-scale range. By integrating Biotin-SAV technology with directed evolution, we engineered a series of biotinylated Pd complexes and optimized the ArM for efficient catalysis. We demonstrate the power of this approach by applying the ArM-Tag system to selectively record antigen-specific CCIs, specifically showing how CAR-T cells interact with tumor cells through the mesothelin/anti-mesothelin axis. This versatile, non-genetic system provides a powerful tool for probing CCIs and offers exciting prospects for advancing immunotherapy, particularly in targeted cancer treatments and immune cell-based therapies.
科研通智能强力驱动
Strongly Powered by AbleSci AI