Here we present HS 'omics database (HS-OmicsDB)', an initiative to integrate the growing body of 'omics data' collected from studies of HS. We hope this initiative provides a tool for the HS research community to enhance investigations into the etiology of and specific functions of novel disease driving genes. Our database compiles publicly available high-throughput bulk-RNA and single cell RNA sequencing studies with publicly available fastq files from studies on patients with HS deposited on the National institute of Health gene expression omnibus (GEO).
Users can explore genes of interest to determine tissue-specific and cell-specific gene expression:
Current data from bulk-sequencing studies includes:
Current single cell sequencing data includes 11 samples from lesional HS skin
With the wave of thriving HS research, this initiative could serve as a valuable resource to increase access to valuable sequencing data. HS-OmicsDB will prove to be a valuable validation and hypothesis generating tool in the study of HS. Future versions will incorporate the growing number of ongoing HS studies employing 'omics technologies' (e.g. proteomics, lipidomics, mass cytometry, spatial sequencing etc.) to further enhance research in the HS community. We hope to build this resource to provide a 'Rosetta stone' of the complex cutaneous dysregulation that occurs in HS by integrating data from multiple 'omics technologies', that is easy to be use and flexible in its application. Such a tool will help build an integrative view of the dynamic process that occurs throughout the progression of HS. For interest in getting involved with the HSOmicsDB Initiative please contact Indra Adrianto (email@example.com) and Qing-Sheng Mi (firstname.lastname@example.org).
Bulk RNAseq Datasets:
GSE151243, GSE154773, GSE155176, GSE189266, GSE213761
Single-cell RNAseq Datasets: