RT Journal Article SR Electronic T1 The Hidradenitis Suppurativa ‘Omics Database (HS-OmicsDB) JF bioRxiv FD Cold Spring Harbor Laboratory SP 2023.01.26.524600 DO 10.1101/2023.01.26.524600 A1 Dimitrion, Peter A1 Loveless, Ian A1 Zhou, Li A1 Mi, Qing-Sheng A1 Adrianto, Indra YR 2023 UL http://biorxiv.org/content/early/2023/01/27/2023.01.26.524600.abstract 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.