PT - JOURNAL ARTICLE AU - Dimitrion, Peter AU - Loveless, Ian AU - Zhou, Li AU - Mi, Qing-Sheng AU - Adrianto, Indra TI - The Hidradenitis Suppurativa ‘Omics Database (HS-OmicsDB) AID - 10.1101/2023.01.26.524600 DP - 2023 Jan 01 TA - bioRxiv PG - 2023.01.26.524600 4099 - http://biorxiv.org/content/early/2023/01/27/2023.01.26.524600.short 4100 - http://biorxiv.org/content/early/2023/01/27/2023.01.26.524600.full AB - Large scale meta-analyses of genomics and genetics have spurred research in a number of fields, such as cancer, genetics and immunology. Publicly available ‘omics databases provide valuable hypothesis generating and validation tools. To date, no such initiative has been undertaken for Hidradenitis Suppurativa (HS), an inflammatory skin disease of unknown etiology. We present here, a longitudinal initiative seeking to aggregate publicly available ‘omics data to enhance research efforts in HS. In its first iteration, we include bulk and single-cell RNA sequencing data from untreated HS patients. Our data, aggregated from publicly available GEO datasets provides a tool to profile gene expression in specific tissue types (i.e. lesional, perilesional, nonlesional and healthy skin) as well as map cell-specific gene expression on single-cell data from HS lesions.Competing Interest StatementThe authors have declared no competing interest.