LinkedIn·Thursday, 20 August 2026·6d ago

🧬 Cellular neighborhoods aren't just a research curiosity — they're a new class of spatio-molecular biomarkers. 🤧 Chronic rhinosinusitis…

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🧬 Cellular neighborhoods aren't just a research curiosity — they're a new class of spatio-molecular biomarkers. 🤧 Chronic rhinosinusitis with nasal polyps (CRSwNP) affects 10–15% of the population. Eosinophils are the key diagnostic marker — but they're notoriously difficult to molecularly profile. 🔬 Using Weave, we analyzed a nasal polyp section with a 48-marker multiplexed immunofluorescence panel (Bruker Spatial Biology CellScape™), followed by H&E staining. This identified 19 distinct cell types in the sample from the mIF data alone — including eosinophils. 📍 Cellular neighborhood analysis then revealed: ✅ 20 spatially recurring neighborhoods across the tissue ✅ Eosinophils concentrated in neighborhoods 5, 9, and 10 ✅ Eosinophils are associated with M2 macrophages in neighborhood 10, but with plasma cells in neighborhood 5 💡 Why this matters: these distinctions offer a path toward understanding treatment resistance in CRSwNP — and show how the same "eosinophil" label can mean very different biology depending on which neighborhood it calls home. 🧵 Spatial context isn't a footnote to cell identity. It is cell identity. Ready to learn more? Download the CRSwNP application note (link in comments). #Weave #CellularNeighborhoods #spatialbiology #spatialproteomics #spatialmultiomics #histology #bioinformatics #autoimmunedisease #targetdiscovery #drugdevelopment #ai4smox This work is a collaboration with Nicholas West (Griffith University) and Bruker Spatial Biology (Matthew Ingalls, Daniel Jimenez-Sanchez, Oliver Braubach)