← BioTransfer GEO Dataset Finder
GEO series

Transcriptomic Profiling of Psoriatic Lesions by Tape-Stripping Reveals Site-Specific Differences

GSE312703 Homo sapiens Expression profiling by high throughput sequencing 44 samples 2026/05/22 GPL28038
Summary
Psoriasis is a chronic immune-mediated skin disease, with plaque psoriasis being its most prevalent form. Although biologic therapies have significantly improved outcomes for patients with moderate to severe disease, certain anatomical regions often remain resistant to treatment. Given the observed variability in treatment response depending on lesion location, we aimed to explore anatomical site-specific differences in the skin transcriptome. Using a non-invasive tape-stripping technique, we collected and analysed 44 psoriatic plaque samples from the scalp, trunk, upper extremities, and lower extremities, followed by differential gene expression and gene ontology analysis. Moreover, we included 80 samples obtained from healthy skin biopsies (GSE54456) to conduct an inflammation-controlled approach. We used two different approaches, an intra-disease approach, in which anatomically different sites were compared, and an inflammation-controlled approach, in which the inflammation bias was minimized. Our findings revealed distinct molecular signatures and biological pathways across different anatomical sites, including differential expression of SERPINB7 and miRNAs such as miR-205 and miR-203a, along with different pathways. Furthermore, our results emphasized the heterogeneity of psoriasis and suggested that site-specific molecular mechanisms may contribute to variations in disease manifestation and treatment response. This study underscores the importance of developing more personalized, site-specific therapeutic strategies.
Download
NCBI GEO page ↗ {# 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

Search all human RNA-seq datasets in GEO →

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.