An integrative spatial multi-omic workflow for unified analysis of tumor tissue

ABSTRACT: Combining molecular profiling with imaging techniques has advanced the field of spatial biology offering new insights into complex biological processes. Focusing on diffuse IDH-mutated low-grade glioma this study presents a workflow for Spatial Multi-omics Integration SMINT specifically combining spatial transcriptomics and spatial metabolomics. Our workflow incorporates both existing and custom-developed computational tools to enable cell segmentation and registration of spatial coordinates from both modalities to a common coordinate framework. During our investigation of cell segmentation strategies we found that nuclei-only segmentation while containing only 40% of segmented cell transcripts enables accurate cell type annotation but does not account for multinucleated cells. Our integrative workflow including cell-morphology segmentation identified distinct cellular neighborhoods at the infiltrating edge of gliomas which were enriched in multinucleated and oligodendrocyte-lineage tumor cells that may drive tumor invasion into the normal cortical layers of the brain.

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PROVIDER: S-BIAD1426 | bioimages |

REPOSITORIES: bioimages