Yuqi Zeng, Zichun Qiao, He Wang, Bo Gao, Qianqian Jiang, Yukui Zhang, Lihua Zhang, Bo Jiang
{"title":"Near-Infrared Light-Mediated Living Cells Mitochondrial Proteome Proximity Labeling","authors":"Yuqi Zeng, Zichun Qiao, He Wang, Bo Gao, Qianqian Jiang, Yukui Zhang, Lihua Zhang, Bo Jiang","doi":"10.1021/acs.analchem.4c06453","DOIUrl":null,"url":null,"abstract":"Photocatalytic proximity labeling techniques enable significant advances in understanding the subcellular proteome. However, current methods primarily utilize visible light that suffers from low labeling efficiency and limited identification coverage due to absorption overlap with endogenous chromophores and scattering in biological samples. To address these issues, we reported the proximity labeling strategy using near-infrared excitation (PL-NIR) strategy, a proximity labeling platform that used a near-infrared-excited catalyst to activate labeling mediated by reactive oxygen species, which could avoid the disadvantages of visible light. Taking advantage of the near-infrared excitation and mitochondrial targeting properties of IR780, the mitochondrial proteome were selectively labeled by spatially limited reaction in the native environment. The PL-NIR strategy facilitated the plotting of the mitochondrial proteome in which up to 245 mitochondrial proteins were identified in living HeLa cells. Compared with the current methods, the PL-NIR strategy significantly increased identification coverage, especially for mitochondrial inner membrane proteins. Furthermore, mitochondrial proteome dynamics were deciphered in LPS stimulated HMC3 cells, which were hard to transfect. Overall, the PL-NIR strategy as a highly precise proteomic platform offered improved identification coverage for more knowledge of subcellular biology discovering.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"25 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.4c06453","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Photocatalytic proximity labeling techniques enable significant advances in understanding the subcellular proteome. However, current methods primarily utilize visible light that suffers from low labeling efficiency and limited identification coverage due to absorption overlap with endogenous chromophores and scattering in biological samples. To address these issues, we reported the proximity labeling strategy using near-infrared excitation (PL-NIR) strategy, a proximity labeling platform that used a near-infrared-excited catalyst to activate labeling mediated by reactive oxygen species, which could avoid the disadvantages of visible light. Taking advantage of the near-infrared excitation and mitochondrial targeting properties of IR780, the mitochondrial proteome were selectively labeled by spatially limited reaction in the native environment. The PL-NIR strategy facilitated the plotting of the mitochondrial proteome in which up to 245 mitochondrial proteins were identified in living HeLa cells. Compared with the current methods, the PL-NIR strategy significantly increased identification coverage, especially for mitochondrial inner membrane proteins. Furthermore, mitochondrial proteome dynamics were deciphered in LPS stimulated HMC3 cells, which were hard to transfect. Overall, the PL-NIR strategy as a highly precise proteomic platform offered improved identification coverage for more knowledge of subcellular biology discovering.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.