Process / pipelineBioinformatics / omics

Single-Cell Metabolomics Analysis

Single-cell metabolomics analysis measures the small-molecule metabolite content of individual cells, revealing cell-to-cell metabolic heterogeneity that bulk methods obscure by averaging. Rooted in mass spectrometry and microfluidics advances, it enables researchers to map metabolic states across cell populations, identify rare subpopulations, and link metabolic phenotypes to cellular function — providing a functional complement to transcriptomics and proteomics at single-cell resolution.

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Sources

  1. Rappez, L., Stadler, M., Triana, S., Gathungu, R. M., Ovchinnikova, K., Phapale, P., Heikenwalder, M., & Alexandrov, T. (2021). SpaceM reveals metabolic states of single cells. Nature Methods, 18(7), 799–805. link
  2. Zhu, H., Zou, G., Wang, N., Zhuang, M., Xiong, W., & Huang, G. (2021). Single-neuron identification of chemical constituents, physiological changes, and metabolism using mass spectrometry. Proceedings of the National Academy of Sciences, 118(3), e2010377118. link

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Referenced by

ScholarGateSingle-cell metabolomics analysis (Single-Cell Metabolomics Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/bioinformatics/single-cell-metabolomics-analysis