Research use only: This site is an integrated query resource for publicly available chronic rhinosinusitis with nasal polyps (CRSwNP) transcriptomic data, for research reference only. It does not provide clinical diagnosis, disease probability estimates, or treatment recommendations. All values come from uniform reanalysis of public data; known limitations of each cohort are annotated alongside the data.
This resource curates all 66 human chronic rhinosinusitis / nasal polyp datasets in GEO one by one (30 in the core set), re-runs differential analysis uniformly for each eligible bulk cohort, annotates single-cell datasets with one unified cell-type vocabulary, organizes GeoMx spatial data by compartment, and aligns the three evidence layers. All results are queryable and downloadable online.
66Curated GSE series
30Core set
2,046Total census samples
16Bulk DE cohorts
19,266×16Bulk gene×cohort evidence
10Single-cell datasets
476,254Single cells
105Single-cell donor units
40Spatial ROIs
1,480Spatial panel genes
6Series with endotype labels
Three evidence layers
Bulk: per-cohort differential analysis across 16 cohorts (30 contrasts); evidence matrix of 19,266 protein-coding genes × cohorts. Expression matrices are never merged across platforms — aggregation happens at the results level only (direction / effect size / significance).
Spatial: GSE235714 GeoMx, 40 ROIs (CD45+ immune / PanCK+ epithelial compartments), 1,480-gene CTA panel — donor-level differential analysis found zero FDR<0.05 genes in either compartment, so the spatial layer serves as a compartment-localization/display layer, not an independent evidence layer; only descriptive values are shown, alongside compartment logFC and the confounding caveat.
Honesty statement (please read before use): cohort designs differ substantially — tissue confounding (GSE198950), no healthy controls (GSE189690, GSE330761), weak signal from primary cultures (GSE69093), tonsil controls (GSE270953), AERD single arm (GSE196169), and more. Each cohort’s limitations are annotated next to its data; the ‘Cohorts & datasets’ page has the full table.