Recent progress in mass spectrometry for single-cell metabolomics |
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| Affiliation: | 1. Department of Chemistry, Tsinghua University, Beijing, China;2. Division of Chemistry and Analytical Science; National Institute of Metrology, Beijing, China;1. European Molecular Biology Laboratory, Genome Biology Unit, 69117 Heidelberg, Germany;2. Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland;3. Barts Brain Tumour Center, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK;1. Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China;2. State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China;3. Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China;4. Department of Information Engineering, East China University of Technology, China;5. Department of Breast and Thyroid Surgery, Shenzhen Second People''s Hospital, Shenzhen, China;6. Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China |
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| Abstract: | Metabolites are the end products of cellular vital activities and can reflect the state of cellular to a certain extent. Rapid change of metabolites and the low abundance of signature metabolites cause difficulties in single-cell detection, which is a great challenge in single-cell metabolomics analysis. Mass spectrometry (MS) is a powerful tool that uniquely suited to detect intracellular small-molecule metabolites and has shown good application in single-cell metabolite analysis. In this mini-review, we describe three types of emerging technologies for MS-based single-cell metabolic analysis in recent years, including nano-ESI-MS based single-cell metabolomics analysis, high-throughput analysis via flow cytometry, and cellular metabolic imaging analysis. These techniques provide a large amount of single-cell metabolic data, allowing the potential of MS in single-cell metabolic analysis is gradually being explored and is of great importance in disease and life science research. |
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| Keywords: | Mass Spectrometry Single-cell metabolomics ESI Nano-ESI MADLI SIMS Cytometry |
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