The Hidradenitis Suppurativa 'Omics Database (HS-OmicsDB).

Area of Science:

• Genomics and genetics
• Immunology
• Dermatology

Background:

• Hidradenitis Suppurativa (HS) is an inflammatory skin disease with unknown etiology.
• Large-scale omics meta-analyses have significantly advanced research in fields like cancer and immunology.
• No comprehensive omics data aggregation initiative currently exists for HS.

Approach:

• This study presents a longitudinal initiative to aggregate publicly available omics data for HS research.
• The first iteration includes bulk and single-cell RNA sequencing data from untreated HS patients.
• Data is sourced from publicly available Gene Expression Omnibus (GEO) datasets.

Key Points:

• The aggregated data enables profiling of gene expression across various tissue types (lesional, perilesional, nonlesional, and healthy skin).
• The dataset facilitates mapping of cell-specific gene expression within HS lesions using single-cell data.
• This resource serves as a hypothesis-generating and validation tool for HS research.

Conclusions:

• This initiative establishes a foundational resource for advancing Hidradenitis Suppurativa research through omics data integration.
• The aggregated dataset will empower researchers to explore gene expression patterns and cellular mechanisms in HS.
• Future iterations will expand the scope of omics data to further elucidate HS pathogenesis.