High-throughput mapping of metabolic diversity at the single-cell level
Single-cell metabolomics (SCM) can probe metabolic heterogeneity but is hindered by low sensitivity for small molecules, limited scalability, and the lack of standardized frameworks for data analysis.
HT SpaceM is a high-throughput MALDI-imaging-based SCM method to robustly detect small-molecule metabolites in single cells.
Applied to over 140,000 cells across diverse conditions and cancer cell lines, HT SpaceM enabled reproducible metabolic profiling of over 100 small-molecule metabolites, identification of subpopulation-specific markers, and detection of heterogeneity and pathways coordination, thus facilitating scalable and reproducible SCM.
