Single-cell meta-analysis of inflammatory bowel disease with scIBD.

Abstract

Understanding the heterogeneous intestinal microenvironment is critical to uncover the pathogenesis of inflammatory bowel disease (IBD). Recent advances in single-cell RNA sequencing (scRNA-seq) have identified certain cell types and genes that could contribute to IBD; however, a comprehensively integrated analysis of these scRNA-seq datasets is not yet available. Here we introduce scIBD, a platform for single-cell meta-analysis of IBD with interactive and visualization features, which combines highly curated single-cell datasets in a uniform workflow, enabling identifying rare or less-characterized cell types in IBD and dissecting the commonalities, as well as the differences between ulcerative colitis and Crohn's disease. scIBD also incorporates multifunctional information-including regulon activity, GWAS-implicated risk genes and genes targeted by therapeutics-to infer clinically relevant cell-type specificity. Collectively, scIBD is a user-friendly web-based platform for the community to analyze the transcriptome features and gene regulatory networks associated with the pathogenesis and treatment of IBD at single-cell resolution.