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

Journal article (2024)

Authors

Joana B. Nunes Leiden University Medical Center
Marieke E. Ijsselsteijn Leiden University Medical Center
T.R.M. Abdelaal Pattern Recognition and Bioinformatics - EEMCS , Leiden University Medical Center, Cairo University
Tamim Abdelaal Pattern Recognition and Bioinformatics - EEMCS , Leiden University Medical Center, Cairo University
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
A.M.E.T.A. Mahfouz Leiden University Medical Center, Pattern Recognition and Bioinformatics - EEMCS
Ahmed Mahfouz Leiden University Medical Center, Pattern Recognition and Bioinformatics - EEMCS
Bram Heijs Leiden University Medical Center
Noel F.C.C. de Miranda Leiden University Medical Center
Research Group
Pattern Recognition and Bioinformatics (EEMCS) (TU Delft)
More Info
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Published Date

2024

Language

English

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Pattern Recognition and Bioinformatics

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.