Fig. 1: Schematic overview detailing data generation, analysis and presentation. | Nature Communications

Fig. 1: Schematic overview detailing data generation, analysis and presentation.

From: Topographic mapping of the glioblastoma proteome reveals a triple-axis model of intra-tumoral heterogeneity

Fig. 1: Schematic overview detailing data generation, analysis and presentation.

a Hematoxylin and Eosin (H&E) images detailing the anatomical niches within GBM: leading edge (LE), infiltrating tumor (IT), cellular tumor (CT), palisading cells around necrosis (PAN), and microvascular proliferations (MVP). b Collection of clinical data for a cohort of 20 GBMs. c FFPE tissue was sectioned and stained with H&E to identify histomorphological features. These were then excised using LCM and prepared for LC-MS/MS-based proteomics. d Bioinformatic pipeline including multi-dimensional scaling, differential expression matrix analysis, and gene set enrichment analysis (GSEA). e Selected region-specific biomarkers were validated within an external cohort of patients by immunohistochemistry (IHC). Clinical significance of regions specific markers was approximated using stratified RNA levels from TCGA. f Data was deposited in an accessible online data portal to allow for interactive and real-time exploration and comparison of proteomic profiles within GBM: (https://www.brainproteinatlas.org/dash/apps/GPA).

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