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

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. scIBD combines highly curated single-cell datasets in a uniform workflow, enabling identifying rare or less-characterized cell types in IBD and dissecting the commonalities and differences between ulcerative colitis and Crohn's disease. scIBD also incorporates multi-functional 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 analyse the transcriptome features and gene regulatory networks associated with the pathogenesis and treatment of IBD at the single-cell resolution.

Overview of scIBD datasets and annotations

Mailing address
Institute of Cancer Research,
Shenzhen Bay Laboratory,
Guangming District, Shenzhen, Guangdong,
P.R. China

Developed by Lei Zhang Lab | © Copyright 2022