Inference of Crosstalk Effects between DNA Methylation and lncRNA Regulation in NSCLC

被引：13

作者：

Tang, Binhua ^{[1
,2
]}

机构：

[1] Hohai Univ, Sch Internet Things, Epigenet & Funct Grp, Nanjing 213022, Jiangsu, Peoples R China

[2] Shanghai Jiao Tong Univ, Sch Publ Hlth, Shanghai 200025, Peoples R China

来源：

BIOMED RESEARCH INTERNATIONAL | 2018年 / 2018卷

基金：

美国国家科学基金会;

关键词：

INTEGRATIVE GENOMIC ANALYSES; LONG NONCODING RNAS; GENE-EXPRESSION; CANCER; LUNG; RESOLUTION; DATABASE; NETWORK;

D O I：

10.1155/2018/7602794

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Intercellular crosstalk effects between DNA methylation and lncRNA regulation remain elusive in lung carcinoma epigenetics. We present an application toolkit MetLnc in integration and annotation for group-wise NSCLC tissue-based DNA methylation and lncRNA profiling resources, to comprehensively analyze differentially methylated loci and lncRNAs through genome-wide analysis. Together with multiple analytic functions, MetLnc acts as an efficient approach on epigenetic omics integration and interrogation. Via the benchmark with group-wise NSCLC tissue profiling and TCGA cohort resources, we study differentially methylated CpG loci and lncRNAs as meaningful clues for inferring crosstalk effects between DNA methylation and lncRNA regulation; together we conclude with investigated biomarkers for further epigenetics and clinical trial research.

引用

页数：6

共 25 条

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