Cross-cell DNA methylation annotation and analysis for pan-cancer study

被引:0
|
作者
Tang, Binhua [1 ,2 ,3 ]
Zhu, Weiliang [4 ]
Wu, Changping [4 ]
机构
[1] Hohai Univ, Epigenet & Funct Grp, Coll Internet Things, Nanjing 213022, Jiangsu, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Publ Hlth, Shanghai 200225, Peoples R China
[3] Harvard Univ, CBMI, Sch Med, Boston, MA 02115 USA
[4] Soochow Univ, Affiliated Hosp 3, Nanjing 213003, Jiangsu, Peoples R China
基金
美国国家科学基金会;
关键词
LANDSCAPE;
D O I
10.3329/bjp.v11iS1.26851
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Pan-cancer study can uncover cell-and tissue-specific genomic loci and regions with underlying biological functions, as one of fundamental procedures toward precision medicine. We utilized the online curated resource of DNA methylation annotation knowledgebase, to implement the cross-cell interrogation of pan-cancer study of breast cancer. The study revealed genome-wide differentially-methylated loci and regions by the reduced representation bisulfite sequencing profiling. The knowledgebase contains three level of curated information across multiple cancer and normal cells from the ENCODE Consortium. The reference base covers all identified differentially-methylation CpG sites and regions of interest, further annotated gene information, together with tumor suppressor gene and methylation level. Lastly, it includes the inferred functional association network and related Gene Ontology analysis results based on all the tumor suppressor genes identified from the differentially-methylated regions of interest. Our knowledgebase and analysis results provide a thorough reference source for biomedical researchers and clinicians. The cross-cell analysis results are deposited at: http://github.com/gladex/DMAK.
引用
收藏
页码:S154 / S160
页数:7
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