Single-Cell Metabolic Profiling in a Glioblastoma Coculture Model Using AP-MALDI-Based Mass Spectrometry Imaging

Mass spectrometry imaging enables spatially resolved, label-free detection of metabolites in tissue and culture systems, providing insight into their metabolic landscapes and spatial distribution. However, conventional approaches often lack the spatial resolution and specificity needed to investigate metabolic heterogeneity at the single-cell level, particularly in physiologically relevant models. Here, we present a single-cell ambient mass spectrometry imaging platform, enabling direct chemical mapping of metabolites at a 10 μm resolution. This method integrates cell labeling, high-resolution microscopy, and AP-MALDI Orbitrap mass spectrometry imaging to achieve cell-type-specific metabolite profiling. To demonstrate its application, we applied this approach to glioblastoma (GBM), an aggressive adult brain tumor characterized by cellular heterogeneity, metabolic adaptation, and infiltrative growth within the tumor microenvironment. A coculture model combining patient-derived glioblastoma invasive margin cells with human cortical astrocytes was used to recapitulate the invasive niche. Distinct metabolic signatures emerged upon glioblastoma-astrocyte interaction, involving pathways related to nucleotide metabolism, phospholipid turnover, and tyrosine metabolism. These findings suggest cell-type-specific metabolic activity and a potential intercellular metabolic interplay. Overall, this workflow offers a broadly accessible and robust approach for investigating metabolic heterogeneity at cellular resolution, enabling insights into metabolic interactions of heterogeneous cell types in both disease and nondisease settings.

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Publication Details

Journal
Analytical Chemistry
Published
2026-04-07
DOI
https://doi.org/10.1021/acs.analchem.5c07924
Primary Topic
Mass Spectrometry Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Single-Cell Metabolic Profiling in a Glioblastoma Coculture Model Using AP-MALDI-Based Mass Spectrometry Imaging

Phoebe McCrorie, Ka Sing Wong, Une Kontrimaite, Sandra Martínez-Jarquín et al.
Analytical Chemistry
Mass Spectrometry Techniques and Applications
article

Single-Cell Metabolic Profiling in a Glioblastoma Coculture Model Using AP-MALDI-Based Mass Spectrometry Imaging

Phoebe McCrorie, Ka Sing Wong, Une Kontrimaite, Sandra Martínez-Jarquín, Ruman Rahman, Dong-Hyun Kim
article en

Abstract

Mass spectrometry imaging enables spatially resolved, label-free detection of metabolites in tissue and culture systems, providing insight into their metabolic landscapes and spatial distribution. However, conventional approaches often lack the spatial resolution and specificity needed to investigate metabolic heterogeneity at the single-cell level, particularly in physiologically relevant models. Here, we present a single-cell ambient mass spectrometry imaging platform, enabling direct chemical mapping of metabolites at a 10 μm resolution. This method integrates cell labeling, high-resolution microscopy, and AP-MALDI Orbitrap mass spectrometry imaging to achieve cell-type-specific metabolite profiling. To demonstrate its application, we applied this approach to glioblastoma (GBM), an aggressive adult brain tumor characterized by cellular heterogeneity, metabolic adaptation, and infiltrative growth within the tumor microenvironment. A coculture model combining patient-derived glioblastoma invasive margin cells with human cortical astrocytes was used to recapitulate the invasive niche. Distinct metabolic signatures emerged upon glioblastoma-astrocyte interaction, involving pathways related to nucleotide metabolism, phospholipid turnover, and tyrosine metabolism. These findings suggest cell-type-specific metabolic activity and a potential intercellular metabolic interplay. Overall, this workflow offers a broadly accessible and robust approach for investigating metabolic heterogeneity at cellular resolution, enabling insights into metabolic interactions of heterogeneous cell types in both disease and nondisease settings.

Analytical ChemistryVol. 98(15)
University of Nottingham (GB), Kyungpook National University (KR), Advanced Materials and Technologies (Slovenia) (SI), Sunny BioDiscovery (United States) (US)
Brain Tumour Research, Biotechnology and Biological Sciences Research Council
Life in Land
Openalex Percentile: Top 23%
Mass Spectrometry Techniques and Applications
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