Here, we developed a comprehensive database for human and mouse cardiovascular-related cis-regulatory elements ( Cardio-CisDB ), which aims to document a large number of available resources of cardiovascular-related cis-regulatory data, and to annotate and uncover the comprehensive mechanisms in cis-regulation level. The current version of Cardio-CisDB cataloged a total of 44102765 genomic regions from over 885 human and mouse epigenetic datasets, including ATAC-seq, DNase-seq, Histone ChIP-seq, TF/TcoF ChIP-seq, RNA polymerase ChIP-seq and Cohesin ChIP-seq. These datasets were manually curated from numerous of epigenetic databases and were almost covered all samples of cardiovascular systems, such as tissues, primary cells and IPS-induced cells. Emphatically, Cardio-CisDB provides the detailed and abundant (epi) genetic annotations in cis-regulatory regions, such as super enhancers, enhancers, TFBSs, methylation sites, common SNPs, risk SNPs, eQTLs, motifs, DHSs and 3D chromatin interactions. Cardio-CisDB also provides cis-elements downstream target genes by mapping binding regions into genomes in two methods. Furthermore, Cardio-CisDB provides various annotations for cis-elements target genes, including pathways, GO Terms and expression changes in major cardiovascular diseases. Especially, Cardio-CisDB provides three types of cis-regulatory analyses for users, including Genomic region intersection analysis, Upstream regulatory axes analysis and Downstream regulatory pathway analysis. Cardio-CisDB is a user-friendly database to query, browse and visualize information associated with cis-regulatory elements. We believe that Cardio-CisDB could become a useful and effective platform for exploring potential functions and regulation of cis-regulatory elements in cardiovascular diseases.

Main functions and operational guidelines

 Genomic region intersection analysis ?

 Upstream regulatory analysis ?

 Downstream regulatory pathway analysis ?