Title OncoBase: a platform for decoding regulatory somatic mutations in human cancers
Authors Li, Xianfeng
Shi, Leisheng
Wang, Yan
Zhong, Jianing
Zhao, Xiaolu
Teng, Huajing
Shi, Xiaohui
Yang, Haonan
Ruan, Shasha
Li, MingKun
Sun, Zhong Sheng
Zhan, Qimin
Mao, Fengbiao
Affiliation Peking Univ, Key Lab Carcinogenesis & Translat Res, Minist Educ Beijing, Lab Mol Oncol,Canc Hosp & Inst, Beijing 100142, Peoples R China
Chinese Acad Sci, Beijing Inst Life Sci, Beijing 100101, Peoples R China
Chinese Acad Sci, Key Lab Genom & Precis Med, Beijing Inst Genom, Beijing 100101, Peoples R China
Gannan Med Univ, Key Lab Prevent & Treatment Cardiovasc & Cerebrov, Minist Educ, Ganzhou 341000, Peoples R China
Univ Michigan, Dept Pathol, Ann Arbor, MI 48109 USA
Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100049, Peoples R China
Wuhan Univ, Dept Clin Oncol, Renmin Hosp, Wuhan 430072, Hubei, Peoples R China
Issue Date 2019
Publisher NUCLEIC ACIDS RESEARCH
Abstract Whole-exome and whole-genome sequencing have revealed millions of somatic mutations associated with different human cancers, and the vast majority of them are located outside of coding sequences, making it challenging to directly interpret their functional effects. With the rapid advances in high-throughput sequencing technologies, genome-scale long-range chromatin interactions were detected, and distal target genes of regulatory elements were determined using three-dimensional (3D) chromatin looping. Herein, we present OncoBase (http://www.oncobase.biols.ac.cn/), an integrated database for annotating 81 385 242 somatic mutations in 68 cancer types from more than 120 cancer projects by exploring their roles in distal interactions between target genes and regulatory elements. OncoBase integrates local chromatin signatures, 3D chromatin interactions in different cell types and reconstruction of enhancer-target networks using state-of-the-art algorithms. It employs informative visualization tools to display the integrated local and 3D chromatin signatures and effects of somatic mutations on regulatory elements. Enhancer-promoter interactions estimated from chromatin interactions are integrated into a network diffusion system that quantitatively prioritizes somatic mutations and target genes from a large pool. Thus, OncoBase is a useful resource for the functional annotation of regulatory noncoding regions and systematically benchmarking the regulatory effects of embedded noncoding somatic mutations in human carcinogenesis.
URI http://hdl.handle.net/20.500.11897/551542
ISSN 0305-1048
DOI 10.1093/nar/gky1139
Indexed SCI(E)
Appears in Collections: 北京肿瘤医院

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