GEO series
Th17 Cells with Regulatory Phenotype are the Main IL-17F and IL-26 Producers in Palmoplantar Pustulosis
GSE304122
Homo sapiens
Expression profiling by high throughput sequencing
10 samples
2025/08/06
GPL24676
Summary
Palmoplantar pustulosis (PPP) is a chronic inflammatory skin disorder marked by erythematous pustules and desquamation on the palms and soles. While IL-17 pathways are implicated in PPP, IL-17 blockers have shown modest efficacy, underscoring the need for a deeper understanding of IL-17 involvement. To dissect the cellular and spatial architecture of PPP, we performed single-cell RNA sequencing (scRNA-seq) on lesional, nonlesional, and healthy acral skin to examine cellular composition, transcriptomic profiles, and cell-cell interactions. Unbiased clustering revealed nine major cell types, including an inflammatory keratinocyte subset enriched in IL-17A/TNF signatures and marked by high IL-36G expression. Within the lymphocyte compartment, we identified a hybrid “regTh17” population co-expressing regulatory markers (FOXP3, CTLA4, TIGIT), IL17F, and IL26. This regTh17 subset was distinguished by elevated IL1R1 and CD39, suggesting a IL-1β–driven differentiation. Spatial analyses demonstrated significant neighborhood enrichment of regTh17 cells with IL-36G⁺ supraspinous keratinocytes. RegTh17 cells were the predominant source of IL-17F and IL-26 signals, whereas keratinocytes were predicted as their main receivers. We further observed regTh17 co-expressing TNFRSF4 (OX40) and TNFRSF18 (GITR) specifically at sites of IL36G+ keratinocyte interactions, implicating these pathways in amplification of the IL-17/IL-36 inflammatory loop. Together, our integrated single-cell and spatial profiling uncovers Th17 plasticity in PPP, identifies a regTh17-keratinocyte interaction and highlights IL-17F, IL-26, OX40/OX40L, and GITR/GITRL as candidate targets for precision therapies in this challenging disease.
Download
NCBI GEO page ↗
Paper (PMID 40985896) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples
- GSE330029 Temporal changes in metabolism guide oligodendrocyte precursor cell dynamics in aging and multiple sclerosis [BulkRNAseq] 108 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.