Bioinformatics. 2022 Dec 07. pii: btac783. [Epub ahead of print]
Jianmei Zhao,
Fengcui Qian,
Xuecang Li,
Zhengmin Yu,
Jiang Zhu,
Rui Yu,
Yue Zhao,
Ke Ding,
Yanyu Li,
Yongsan Yang,
Qi Pan,
Jiaxin Chen,
Chao Song,
Qiuyu Wang,
Jian Zhang,
Guohua Wang,
Chunquan Li.
MOTIVATION: DNA methylation within gene body and promoters in cancer cells is well documented. An increasing number of studies showed that cytosine-phosphate-guanine (CpG) sites falling within other regulatory elements could also regulate target gene activation, mainly by affecting transcription factors (TFs) binding in human cancers. This led to the urgent need for comprehensively and effectively collecting distinct cis-regulatory elements and TF-binding sites (TFBS) to annotate DNA methylation regulation.RESULTS: We developed a database (CanMethdb, http://meth.liclab.net/CanMethdb/) that focused on the upstream and downstream annotations for CpG-genes in cancers. This included upstream cis-regulatory elements, especially those involving distal regions to genes, and TFBS annotations for the CpGs and downstream functional annotations for the target genes, computed through integrating abundant DNA methylation and gene expression profiles in diverse cancers. Users could inquire CpG-target gene pairs for a cancer type through inputting a genomic region, a CpG, a gene name, or select hypo/hypermethylated CpG sets. The current version of CanMethdb documented a total of 38,986,060 CpG-target gene pairs (with 6,769,130 unique pairs), involving 385,217 CpGs and 18,044 target genes, abundant cis-regulatory elements, and TFs for 33 TCGA cancer types. CanMethdb might help biologists perform in-depth studies of target gene regulations based on DNA methylations in cancer.
AVAILABILITY: The main program is available at https://github.com/chunquanlipathway/CanMethdb.
SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.