ABSTRACT
Matrix-assisted laser desorption/ionization mass spectrometry imaging allows for the study of metabolic activity in the tumor microenvironment of brain cancers. The detectable metabolites within these tumors are contingent upon the choice of matrix, deposition technique, and polarity setting. In this study, we compared the performance of three different matrices, two deposition techniques, and the use of positive and negative polarity in two different brain cancer types and across two species. Optimal combinations were confirmed by a comparative analysis of lipid and small-molecule abundance by using liquid chromatography-mass spectrometry and RNA sequencing to assess differential metabolites and enzymes between normal and tumor regions. Our findings indicate that in the tumor-bearing brain, the recrystallized α-cyano-4-hydroxycinnamic acid matrix with positive polarity offered superior performance for both detected metabolites and consistency with other techniques. Beyond these implications for brain cancer, our work establishes a workflow to identify optimal matrices for spatial metabolomics studies.
ABSTRACT
Glioma can be modelled in the murine brain through the induction of genetically engineered mouse models or intracranial transplantation. Gliomas (oligodendroglioma and astrocytoma) are thought to arise from neuronal and glial progenitor populations in the brain and are poorly infiltrated by immune cells. An improved understanding of oligodendrocytes, astrocytes, and the immune environment throughout tumor development will enhance the analysis and development of brain cancer models. Here, we describe the isolation and analysis of murine brain cell types using a combination of flow cytometry and quantitative RT-PCR strategies to analyze these individual cell populations in vivo.
