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Mass‐Guided Single‐Cell MALDI Imaging of Low‐Mass Metabolites Reveals Cellular Activation Markers

Cairns, James L.; Huber, Johanna; Lewen, Andrea; Jung, Jessica; Maurer, Stefan J.; Bausbacher, Tobias; Schmidt, Stefan; Levkin, Pavel A. ORCID iD icon 1,2; Sevin, Daniel; Göpfrich, Kerstin; Koch, Philipp; Kann, Oliver; Hopf, Carsten
1 Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)
2 Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)

Abstract:

Single-cell MALDI mass spectrometry imaging (MSI) of lipids and metabolites >200 Da has recently come to the forefront of biomedical research and chemical biology. However, cell-targeting and metabolome-preserving methods for analysis of low mass, hydrophilic metabolites (<200 Da) in large cell populations are lacking. Here, the PRISM-MS (PRescan Imaging for Small Molecule – Mass Spectrometry) mass-guided MSI workflow is presented, which enables space-efficient single cell lipid and metabolite analysis. In
conjunction with giant unilamellar vesicles (GUVs) as MSI ground truth for cell-sized objects and Monte Carlo reference-based consensus clustering for data-dependent identification of cell subpopulations, PRISM-MS enables MSI and on-cell MS2-based identification of low-mass metabolites like amino acids or Krebs cycle intermediates involved in stimulus-dependent cell activation. The utility of PRISM-MS is demonstrated through the characterization of complex metabolome changes in lipopolysaccharide (LPS)-stimulated microglial cells and human-induced pluripotent stem cell-derived microglia. Translation of single cell results to endogenous microglia in organotypic
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Verlagsausgabe §
DOI: 10.5445/IR/1000178039
Veröffentlicht am 14.01.2025
Originalveröffentlichung
DOI: 10.1002/advs.202410506
Scopus
Zitationen: 2
Web of Science
Zitationen: 3
Dimensions
Zitationen: 4
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biologische und Chemische Systeme (IBCS)
Institut für Organische Chemie (IOC)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 12.12.2024
Sprache Englisch
Identifikator ISSN: 2198-3844
KITopen-ID: 1000178039
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in Advanced Science
Verlag Wiley Open Access
Seiten Art.-Nr.: 2410506
Nachgewiesen in Dimensions
Web of Science
OpenAlex
Scopus
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