Integration of mass cytometry and mass spectrometry imaging for spatially resolved single-cell metabolic profiling

The integration of spatial omics technologies can provide important insights into the biology of tissues. Here we combined mass spectrometry imaging-based metabolomics and imaging mass cytometry-based immunophenotyping on a single tissue section to reveal metabolic heterogeneity at single-cell resol...

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Vydáno v:Nature methods Ročník 21; číslo 10; s. 1796 - 1800
Hlavní autoři: Nunes, Joana B., Ijsselsteijn, Marieke E., Abdelaal, Tamim, Ursem, Rick, van der Ploeg, Manon, Giera, Martin, Everts, Bart, Mahfouz, Ahmed, Heijs, Bram, de Miranda, Noel F. C. C.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Nature Publishing Group US 01.10.2024
Nature Publishing Group
Témata:
631/1647/1407/1492
631/1647/245
631/1647/296
631/1647/320
631/67/2327
Bioinformatics
Biological Microscopy
Biological Techniques
Biomedical and Life Sciences
Biomedical Engineering/Biotechnology
Brief Communication
Cancer
Cells
Cytometry
Heterogeneity
Immune system
Life Sciences
Mass spectrometry
Mass spectroscopy
Medical imaging
Metabolism
Metabolites
Metabolomics
Proteomics
Scientific imaging
Workflow
ISSN:1548-7091, 1548-7105, 1548-7105
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Shrnutí:The integration of spatial omics technologies can provide important insights into the biology of tissues. Here we combined mass spectrometry imaging-based metabolomics and imaging mass cytometry-based immunophenotyping on a single tissue section to reveal metabolic heterogeneity at single-cell resolution within tissues and its association with specific cell populations such as cancer cells or immune cells. This approach has the potential to greatly increase our understanding of tissue-level interplay between metabolic processes and their cellular components. The authors present a workflow integrating imaging mass cytometry and imaging mass spectrometry to deconvolute metabolic heterogeneity at the single-cell level.
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ISSN:1548-7091
1548-7105
1548-7105
DOI:10.1038/s41592-024-02392-6