MethHC 2.0: information repository of DNA methylation and gene expression in human cancer

Hsi‐Yuan Huang(Chinese University of Hong Kong, Shenzhen), Jing Li(Chinese University of Hong Kong, Shenzhen), Yun Tang(Chinese University of Hong Kong, Shenzhen), Yixian Huang(Chinese University of Hong Kong, Shenzhen), Yi-Gang Chen(Chinese University of Hong Kong, Shenzhen), Yueyang Xie(Chinese University of Hong Kong, Shenzhen), Zhe-Yuan Zhou(Chinese University of Hong Kong, Shenzhen), Xinyi Chen(Chinese University of Hong Kong, Shenzhen), Si-Yuan Ding(Chinese University of Hong Kong, Shenzhen), Meng-Fan Luo(Chinese University of Hong Kong, Shenzhen), Chen-Nan Jin(Chinese University of Hong Kong, Shenzhen), Le-Shan Zhao(Chinese University of Hong Kong, Shenzhen), Jiatong Xu(Chinese University of Hong Kong, Shenzhen), Ying Zhou(Chinese University of Hong Kong, Shenzhen), Yang-Chi-Dung Lin(Chinese University of Hong Kong, Shenzhen), Hsiao-Chin Hong(Chinese University of Hong Kong, Shenzhen), Hua‐Li Zuo(Chinese University of Hong Kong, Shenzhen), Siyao Hu(Chinese University of Hong Kong, Shenzhen), Peiyi Xu(Chinese University of Hong Kong, Shenzhen), Xin Li(Chinese University of Hong Kong, Shenzhen), Hsien‐Da Huang(Chinese University of Hong Kong, Shenzhen)
Nucleic Acids Research
November 3, 2020
10.1093/nar/gkaa1104
Cited by 47Open Access
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Abstract

DNA methylation is an important epigenetic regulator in gene expression and has several roles in cancer and disease progression. MethHC version 2.0 (MethHC 2.0) is an integrated and web-based resource focusing on the aberrant methylomes of human diseases, specifically cancer. This paper presents an updated implementation of MethHC 2.0 by incorporating additional DNA methylomes and transcriptomes from several public repositories, including 33 human cancers, over 50 118 microarray and RNA sequencing data from TCGA and GEO, and accumulating up to 3586 manually curated data from >7000 collected published literature with experimental evidence. MethHC 2.0 has also been equipped with enhanced data annotation functionality and a user-friendly web interface for data presentation, search, and visualization. Provided features include clinical-pathological data, mutation and copy number variation, multiplicity of information (gene regions, enhancer regions, and CGI regions), and circulating tumor DNA methylation profiles, available for research such as biomarker panel design, cancer comparison, diagnosis, prognosis, therapy study and identifying potential epigenetic biomarkers. MethHC 2.0 is now available at http://awi.cuhk.edu.cn/∼MethHC.

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