Simultaneous In-Depth Single-Cell Proteomic and Metabolomic Analysis
Simultaneous characterization of proteomic and metabolomic profiles at the single-cell level is crucial for deciphering cellular heterogeneity and elucidating disease mechanisms. However, it is still a great challenge to achieve high-depth dual-omics analysis in the same single cell. Here, we propose a unified strategy called one-shot hybrid-mode single-cell proteome and metabolome analysis (hybrid-scPMA), in which the mass spectrometry (MS) detection mode of data-independent acquisition (DIA) is utilized for the analysis of peptides from protein digestion, and the data-dependent acquisition (DDA) mode is used for metabolite analysis in a single liquid chromatography-mass spectrometry (LC-MS) analysis run, enabling deep analysis of the proteome and metabolome in single-cell samples. Building upon the strategy, we established an improved single-cell multiomics analysis workflow that integrated automated single-cell capture, simplified sample pretreatment, LC injection and separation, and DIA-DDA hybrid-mode MS detection. With this approach, we achieved an average identification of 3510 protein groups and 255 metabolites from single HepG2 cells, representing a substantial increase in identification depth over previous approaches. We also performed time-resolved proteomic and metabolomic profiling of HepG2 single cells undergoing sorafenib drug intervention, resolving drug response characteristics at the single-cell level and providing multiomics insights into drug mechanisms from a proteo-metabolomic perspective.
Authors
- Xiao Liang (ORCID: https://orcid.org/0000-0002-9423-9201)
- Jianmin Wu (ORCID: https://orcid.org/0000-0002-0999-9194)
- Qun Fang (ORCID: https://orcid.org/0000-0002-6250-252X)
- Fang-Hua Lu
- Jian‐Zhang Pan (ORCID: https://orcid.org/0000-0001-8164-7161)
- Yi Yang (ORCID: https://orcid.org/0000-0003-0009-7132)
- Yu Wang (ORCID: https://orcid.org/0000-0001-6263-5798)
- L Y Tao
- Yi Huang
- Ya-Li Wang
Institutions
- Zhejiang University of Science and Technology (CN)
- Sir Run Run Shaw Hospital (CN)
- Bioanalytica (Switzerland) (CH)
- Precision for Medicine (United States) (US)
- Institute of Bioinformatics and Applied Biotechnology (IN)
- Zhejiang University (CN)
Publication Details
- Journal
- Analytical Chemistry
- Published
- 2026-04-27
- DOI
- https://doi.org/10.1021/acs.analchem.5c08090
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Ministry of Science and Technology of the People's Republic of China