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

Author:

Huang Hsi-Yuan12,Li Jing1,Tang Yun1,Huang Yi-Xian1,Chen Yi-Gang1,Xie Yue-Yang1,Zhou Zhe-Yuan3,Chen Xin-Yi1,Ding Si-Yuan1,Luo Meng-Fan1,Jin Chen-Nan1,Zhao Le-Shan1,Xu Jia-Tong1,Zhou Ying1,Lin Yang-Chi-Dung12,Hong Hsiao-Chin12,Zuo Hua-Li12,Hu Si-Yao12,Xu Pei-Yi1,Li Xin12,Huang Hsien-Da12ORCID

Affiliation:

1. School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China

2. Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China

3. School of Data Science, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, Guangdong Province 518172, China

Abstract

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.

Funder

Warshel Institute for Computational Biology

Shenzhen Ganghong Group Co., Ltd.

Publisher

Oxford University Press (OUP)

Subject

Genetics

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