KIT | KIT-Bibliothek | Impressum | Datenschutz

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
... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000178039
Veröffentlicht am 14.01.2025
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
Erschienen in Advanced Science
Verlag Wiley Open Access
Seiten Art.-Nr.: 2410506
Nachgewiesen in Scopus
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page