Digital Spatial Profiling Data of Immune-Epithelial Dynamics and Tissue Remodeling in the Nasal Epithelium via Multi-scaled Transcriptomics

Chronic rhinosinusitis (CRS) is a common inflammatory condition of the nasal cavity and sinuses affecting millions worldwide, yet its complex pathophysiology remains incompletely understood. Emerging evidence implicates diverse immune and epithelial cell types in its development. To investigate the cellular and molecular heterogeneity of CRS—with and without nasal polyps—we employed NanoString GeoMx spatial transcriptomics on intact tissue samples. For our validation cohort, samples from patients with CRS with nasal polyps and healthy controls were collected and analyzed using NanoString GeoMx. The corresponding DSP count files and metadata are available on the public data sharing platform under the file prefix "Validation_cohort". For our large-scale cohort, RNA was extracted from cluster-based annotated segments of samples from patients with both CRS with and without nasal polyps, as well as from healthy controls, and analyzed using NanoString GeoMx spatial transcriptomics. The DSP count files, metadata, and segmentation materials for this cohort are available under the file suffix "ClusterBasedAnnotated".