Same-slide spatial multi-omic profiling of nasal polyposis enabled by Weave®

Nasal polyps affect 10-15% of the population. While benign in nature, these growths hamper quality life, and are resistant to treatment. Chronic rhinosinusitis with nasal polyps (CRSwNP) is driven by type 2 inflammation, whereby eosinophils are a key diagnostic marker and are associated with tissue damage. Understanding the molecular phenotype of eosinophils that lead tissue damage is difficult as they do not survive tissue dissociation and appear to have low RNA expression.

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In this collaboration with Prof. Nicholas West (Griffith University) and Bruker Spatial Biology, we addressed the following key questions:

Can a multi-modal approach combining standard H&E histology and CellScape™ precise spatial proteomics improve phenotyping of eosinophils in CRSwNP?
Can a multi-modal approach yield insights into the cellular neighbourhoods in which eosinophils exist?
Can a multi-modal approach identify with which cells eosinophils are associated?

Spatial map showing cellular neighbourhoods across nasal polyp biopsy.

Weave^® was used for the following:

Co-registration and stack fusion (data integration) of CellScape PSP and H&E data using proprietary Aspect Analytics algorithms,
Segmentation and annotation of different cell type populations,
Cellular Neighbourhood analysis to identify spatially recurring areas of similar cellular and molecular composition in the tissue,
Visualisation of the CellScape and H&E data at full resolution, and associated data analysis results.

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