Database Commons

a catalog of worldwide biological databases

CTCF is a highly conserved transcriptional regulator protein that performs diverse functions such as regulating gene expression and organizing the 3D structure of the genome. Here, we describe recent updates to a database of CTCF-binding sites, CTCFBSDB (http://insulatordb.uthsc.edu/), which now contains almost 15 million CTCF-binding sequences in 10 species. Since the original publication of the database, studies of the 3D structure of the genome, such as those provided by Hi-C experiments, have suggested that CTCF plays an important role in mediating intra- and inter-chromosomal interactions. To reflect this important progress, we have integrated CTCF-binding sites with genomic topological domains defined using Hi-C data. Additionally, the updated database includes new features enabled by new CTCF-binding site data, including binding site occupancy and the ability to visualize overlapping CTCF-binding sites determined in separate experiments.

Recent studies on transcriptional control of gene expression have pinpointed the importance of long-range interactions and three-dimensional organization of chromatins within the nucleus. Distal regulatory elements such as enhancers may activate transcription over long distances; hence, their action must be restricted within appropriate boundaries to prevent illegitimate activation of non-target genes. Insulators are DNA elements with enhancer-blocking and/or chromatin-bordering functions. In vertebrates, the versatile transcription regulator CCCTC-binding factor (CTCF) is the only identified trans-acting factor that confers enhancer-blocking insulator activity. CTCF-binding sites were found to be commonly distributed along the vertebrate genomes. We have constructed a CTCF-binding site database (CTCFBSDB) to characterize experimentally identified and computationally predicted CTCF-binding sties. Biological knowledge and data from multiple resources have been integrated into the database, including sequence data, genetic polymorphisms, function annotations, histone methylation profiles, gene expression profiles and comparative genomic information. A web-based user interface was implemented for data retrieval, analysis and visualization. In silico prediction of CTCF-binding motifs is provided to facilitate the identification of candidate insulators in the query sequences submitted by users. The database can be accessed at http://insulatordb.utmem.edu/