Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, Japan.
Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Chiba, Japan.
Nucleic Acids Res. 2018 Jan 4;46(D1):D229-D238. doi: 10.1093/nar/gkx1001.
DBTSS (Database of Transcriptional Start Sites)/DBKERO (Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts) is the database originally initiated with the information of transcriptional start sites and their upstream transcriptional regulatory regions. In recent years, we updated the database to assist users to elucidate biological relevance of the human genome variations or somatic mutations in cancers which may affect the transcriptional regulation. In this update, we facilitate interpretations of disease associated genomic variation, using the Japanese population as a model case. We enriched the genomic variation dataset consisting of the 13,368 individuals collected for various genome-wide association studies and the reference epigenome information in the surrounding regions using a total of 455 epigenome datasets (four tissue types from 67 healthy individuals) collected for the International Human Epigenome Consortium (IHEC). The data directly obtained from the clinical samples was associated with that obtained from various model systems, such as the drug perturbation datasets using cultured cancer cells. Furthermore, we incorporated the results obtained using the newly developed analytical methods, Nanopore/10x Genomics long-read sequencing of the human genome and single cell analyses. The database is made publicly accessible at the URL (http://dbtss.hgc.jp/).
DBTSS(转录起始位点数据库)/DBKERO(Kashiwa 调控区人类基因组突变百科全书及其组学数据库)最初是一个以转录起始位点及其上游转录调控区信息为基础的数据库。近年来,我们对数据库进行了更新,以帮助用户阐明可能影响转录调控的癌症中与疾病相关的人类基因组变异或体细胞突变的生物学相关性。在本次更新中,我们以日本人群为模型案例,利用该数据库来促进对疾病相关基因组变异的解释。我们利用总共 455 个来自国际人类表观基因组联合会(IHEC)的表观基因组数据集(来自 67 位健康个体的四种组织类型),丰富了由 13368 个人的全基因组关联研究收集的基因组变异数据集,以及周围区域的参考表观基因组信息。从临床样本中直接获得的数据与从各种模型系统中获得的数据相关联,例如使用培养的癌细胞进行药物扰动数据集。此外,我们还整合了使用新开发的分析方法(人类基因组的纳米孔/10x 基因组长读测序和单细胞分析)获得的结果。该数据库可在 URL(http://dbtss.hgc.jp/)上公开访问。