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Bioorthogonal photocatalytic proximity labeling in primary living samples.

Authors :
Liu, Ziqi
Guo, Fuhu
Zhu, Yufan
Qin, Shengnan
Hou, Yuchen
Guo, Haotian
Lin, Feng
Chen, Peng R.
Fan, Xinyuan
Source :
Nature Communications; 3/28/2024, Vol. 15 Issue 1, p1-18, 18p
Publication Year :
2024

Abstract

In situ profiling of subcellular proteomics in primary living systems, such as native tissues or clinic samples, is crucial for understanding life processes and diseases, yet challenging due to methodological obstacles. Here we report CAT-S, a bioorthogonal photocatalytic chemistry-enabled proximity labeling method, that expands proximity labeling to a wide range of primary living samples for in situ profiling of mitochondrial proteomes. Powered by our thioQM labeling warhead development and targeted bioorthogonal photocatalytic chemistry, CAT-S enables the labeling of mitochondrial proteins in living cells with high efficiency and specificity. We apply CAT-S to diverse cell cultures, dissociated mouse tissues as well as primary T cells from human blood, portraying the native-state mitochondrial proteomic characteristics, and unveiled hidden mitochondrial proteins (PTPN1, SLC35A4 uORF, and TRABD). Furthermore, CAT-S allows quantification of proteomic perturbations on dysfunctional tissues, exampled by diabetic mouse kidneys, revealing the alterations of lipid metabolism that may drive disease progression. Given the advantages of non-genetic operation, generality, and spatiotemporal resolution, CAT-S may open exciting avenues for subcellular proteomic investigations of primary samples that are otherwise inaccessible. Studying subcellular proteomes in primary living cells is crucial for understanding health and disease. Here, the authors introduce CAT-S, a non-genetic method based on photocatalysis, enabling in situ deciphering of mitochondrial proteomes in primary cells from mouse tissues and human blood. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
176340216
Full Text :
https://doi.org/10.1038/s41467-024-46985-3