{"database":"biostudies-other","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Jeany Delafiori"],"funding":["European Research Council (Consolidator grant)","German Research Foundation","European Research Council (Proof-of-Concept grant)","Swiss National Science Foundation","Michael J. Fox Foundation"],"species":["Homo sapiens (human)","Mus musculus (mouse)"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-BSST2127"],"repository":["biostudies-other"],"funding_grant_id":["AI 186/1-1","Sinergia grant PROMETEX","773089","101101077"],"pubmed_authors":["Bishoy Wadie","Andreas Eisenbarth","Alexander Mattausch","Måns Ekelöf","Alberto Bailoni","Jeany Delafiori","Theodore Alexandrov","Mohammed Shahraz","Bernhard Drotleff","Volker Hilsenstein"],"additional_accession":[]},"is_claimable":false,"name":"HT SpaceM: A High-Throughput and Reproducible Method for Small-Molecule Single-Cell Metabolomics","description":"Single-cell metabolomics (SCM) promises to reveal metabolism in its complexity and heterogeneity, yet current methods struggle with detecting small-molecule metabolites, throughput, and reproducibility. Addressing these gaps, we developed HT SpaceM, a high-throughput SCM method combining cell preparation in custom glass slides, small-molecule MALDI imaging mass spectrometry, and batch processing. We propose a unified framework covering quality control, characterization, structural validation, differential and functional analysis. Profiling HeLa and NIH3T3 cells, we detected 73 small-molecule metabolites validated by bulk LC-MS/MS, achieving high reproducibility and single-cell resolution. Interrogating nine NCI-60 cancer cell lines and HeLa, we identified cell-type markers in subpopulation","dates":{"release":"2025-08-28T00:00:00Z","modification":"2026-04-13T15:03:35.215Z","creation":"2025-07-26T19:04:57.061Z"},"accession":"S-BSST2127","cross_references":{}}