Integration of mass cytometry and mass spectrometry imaging for spatially resolved single-cell metabolic profiling
Joana B. Nunes (Leiden University Medical Center)
Marieke E. Ijsselsteijn (Leiden University Medical Center)
Tamim Abdelaal (Cairo University, TU Delft - Pattern Recognition and Bioinformatics, Leiden University Medical Center)
Rick Ursem (Leiden University Medical Center)
Manon van der Ploeg (Leiden University Medical Center)
Martin Giera (Leiden University Medical Center)
Bart Everts (Leiden University Medical Center)
Ahmed Mahfouz (TU Delft - Pattern Recognition and Bioinformatics, Leiden University Medical Center)
Bram Heijs (Leiden University Medical Center)
Noel F.C.C. de Miranda (Leiden University Medical Center)
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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.
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