Single‐Cell Secretome Profiling Enabled by Selective Enrichment and NanoLC‐MS/MS Analysis
Abstract Recent advances in single‐cell proteomics enable the direct profiling of thousands of proteins from a single mammalian cell. However, due to the bottlenecks in detecting low‐abundance secreted proteins and extracellular vesicle (EV) proteins (collectively referred to as the secretome) against a background of high‐abundance proteins in serum‐containing culture medium, the comprehensive investigation of the secretome at the single‐cell level using nanoLC‐MS/MS still remains challenging. Herein, we report a novel single‐cell secretome profiling (SCSP) method by integrating the metabolic labeling of newly synthesized proteins, click chemistry‐based enrichment, and in situ digestion of the labeled secretome in an alkyne‐functionalized capillary micro‐reactor, followed by nanoLC‐MS/MS analysis. By this method, an average of 389 protein groups were quantified from the secretome of single HeLa cells (n=17), with a total of 752 protein groups confidently identified in the single‐cell secretome, which is a significant increase compared to the previously reported targeted analysis limited to dozens of secreted proteins by antibody recognition. These results indicated that our developed SCSP method would provide a powerful tool to gain insights into secretion heterogeneity and intercellular communication at the single‐cell level.
Authors
- Baofeng Zhao (ORCID: https://orcid.org/0000-0002-4920-2661)
- Zhongpeng Dai
- Linmei Li (ORCID: https://orcid.org/0000-0002-8373-133X)
- Xinxin Liu (ORCID: https://orcid.org/0000-0001-9079-2010)
- Lihua Zhang (ORCID: https://orcid.org/0000-0003-2543-1547)
- Li Xiao (ORCID: https://orcid.org/0000-0003-1403-7472)
- Yao Lu (ORCID: https://orcid.org/0000-0002-2169-6479)
- Yukui Zhang
- Fengjiao Zhu
- Huiming Yuan (ORCID: https://orcid.org/0000-0002-1893-7294)
- Yingyun He
- Zhen Liang (ORCID: https://orcid.org/0000-0002-5242-4644)
Institutions
- Dalian Institute of Chemical Physics (CN)
- Chinese Academy of Sciences (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Angewandte Chemie
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1002/ange.202417351
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- American Heart Association
- National Natural Science Foundation of China
- Chinese Academy of Sciences
- Fudan University
- Dalian Institute of Chemical Physics