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Dataset Information

Using mass spectrometry imaging to map fluxes quantitatively in the tumor ecosystem.


ABSTRACT: Tumors are comprised of a multitude of cell types spanning different microenvironments. Mass spectrometry imaging (MSI) has the potential to identify metabolic patterns within the tumor ecosystem and surrounding tissues, but conventional workflows have not yet fully integrated the breadth of experimental techniques in metabolomics. Here, we combine MSI, stable isotope labeling, and a spatial variant of Isotopologue Spectral Analysis to map distributions of metabolite abundances, nutrient contributions, and metabolic turnover fluxes across the brains of mice harboring GL261 glioma, a widely used model for glioblastoma. When integrated with MSI, the combination of ion mobility, desorption electrospray ionization, and matrix assisted laser desorption ionization reveals alterations in multiple

SUBMITTER: Schwaiger-Haber M 

PROVIDER: S-EPMC10199024 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature