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 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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Publication Details

Journal
Nature Methods
Published
2024-08-29
DOI
https://doi.org/10.1038/s41592-024-02392-6
Citations
47
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
10.99

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

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47 citations
Nature Methods
Single-cell and spatial transcriptomics
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Integration of mass cytometry and mass spectrometry imaging for spatially resolved single-cell metabolic profiling

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article en
47 citations

Abstract

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.

Nature MethodsVol. 21(10)
Cairo University (EG), Leiden University Medical Center (NL), Netherlands Metabolomics Centre (NL), Delft University of Technology (NL)
European Commission, Universiteit Leiden, ZonMw, Nierstichting, Novo Nordisk, Leids Universitair Medisch Centrum, Novo Nordisk Fonden
Openalex Percentile: Top 1%
Single-cell and spatial transcriptomics
10.99
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