Myeloid cells are highly prevalent in glioblastoma (GBM), existing in a
spectrum of phenotypic and activation states. We now have limited
knowledge of the tumor microenvironment (TME) determinants that influence
the localization and the functions of the diverse myeloid cell populations
in GBM. In this dataset, we have used imaging mass cytometry to identify
and map the various myeloid populations in the human GBM tumor
microenvironment (TME) using known markers for myeloid and neoplastic
cells in GBM. Our analyses of these data found that different myeloid
populations had distinct and reproducible compartmentalization patterns in
the GBM TME that were driven by tissue hypoxia and varied homotypic and
heterotypic cellular interactions. This dataset consists of imaging mass
cytometry data (16-bit TIFF images) for 8 glioblastomas and 1 tonsil
sourced from the Salford Royal NHS Trust Biobank.