Title |
MICMIC: identification of DNA methylation of distal regulatory regions with causal effects on tumorigenesis
|
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Published in |
Genome Biology, June 2018
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DOI | 10.1186/s13059-018-1442-0 |
Pubmed ID | |
Authors |
Yin Tong, Jianlong Sun, Chi Fat Wong, Qingzheng Kang, Beibei Ru, Ching Ngar Wong, April Sheila Chan, Suet Yi Leung, Jiangwen Zhang |
Abstract |
Aberrant promoter methylation is a common mechanism for tumor suppressor inactivation in cancer. We develop a set of tools to identify genome-wide DNA methylation in distal regions with causal effect on tumorigenesis called MICMIC. Many predictions are directly validated by dCas9-based epigenetic editing to support the accuracy and efficiency of our tool. Oncogenic and lineage-specific transcription factors are shown to aberrantly shape the methylation landscape by modifying tumor-subtype core regulatory circuitry. Notably, the gene regulatory networks orchestrated by enhancer methylation across different cancer types are seen to converge on a common architecture. MICMIC is available on https://github.com/ZhangJlab/MICMIC . |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 25% |
United Kingdom | 7 | 25% |
Australia | 1 | 4% |
Spain | 1 | 4% |
China | 1 | 4% |
Norway | 1 | 4% |
Guinea | 1 | 4% |
Unknown | 9 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 16 | 57% |
Members of the public | 8 | 29% |
Science communicators (journalists, bloggers, editors) | 2 | 7% |
Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 28% |
Researcher | 8 | 17% |
Student > Bachelor | 6 | 13% |
Student > Master | 6 | 13% |
Student > Doctoral Student | 2 | 4% |
Other | 4 | 9% |
Unknown | 7 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 19 | 41% |
Agricultural and Biological Sciences | 10 | 22% |
Engineering | 4 | 9% |
Environmental Science | 1 | 2% |
Computer Science | 1 | 2% |
Other | 3 | 7% |
Unknown | 8 | 17% |