过渡(遗传学)
动力学(音乐)
细胞凋亡
蛋白质组
光催化
化学
细胞生物学
生物物理学
未折叠蛋白反应
分子动力学
化学物理
计算生物学
纳米技术
材料科学
生物
生物化学
物理
计算化学
基因
催化作用
声学
作者
Nan Zhou,Yan Zhang,Peng R. Chen,Xinyuan Fan
出处
期刊:PubMed
日期:2025-08-12
卷期号:122 (32): e2503115122-e2503115122
标识
DOI:10.1073/pnas.2503115122
摘要
Apoptosis is a critical outcome of stress-induced processes, with the endoplasmic reticulum (ER) playing a central role in apoptotic protein processing and stress signal transduction. Profiling the ER proteome during stress to cell death offers valuable insights into these processes, but existing methods often suffer from a loss of in situ information or requirement of genetic manipulation. In this study, we introduce CAT-ER, a nongenetic ER proteomics system that provides in situ labeling, spatiotemporal resolution, and compatibility across diverse cell types. By combining an ER-targeted iridium photocatalyst with a thio-quinone methide (thioQM) probe, CAT-ER achieves high specificity in enriching ER proteins, comparable to traditional enzymatic methods. Importantly, CAT-ER is free of genetic manipulation, allowing its use in hard-to-transfect cell types like HeLa and immune cells (e.g., Raji, Jurkat, and RAW264.7). Given the high spatiotemporal resolution of CAT-ER, we revealed dynamic ER proteome changes during thapsigargin (Tg)-induced unfolded protein response (UPR) to apoptosis. Notably, NFIP2 mitigated ER stress by halting translation when UPR initiated, while compromised EMC2 delayed apoptosis during prolonged stress. These findings provide insights into the molecular dynamics linking the UPR and apoptosis. Collectively, CAT-ER serves as a versatile tool for spatiotemporal proteomic analysis without the need for genetic manipulation, offering a powerful approach to study ER dynamics in various biological contexts.
科研通智能强力驱动
Strongly Powered by AbleSci AI