The genome-wide gene expression profiling to predict competitive endogenous RNA network in hepatocellular cancer

被引：6

作者：

Peng, Haoran ^{[1
,2
]}

Lua, Minqiang ^{[1
]}

Selaru, Florin M. ^{[2
,3
]}

机构：

[1] Sun Yat Sen Univ, Affiliated Hosp 3, Liver Transplantat Ctr, Guangzhou 510275, Guangdong, Peoples R China

[2] Johns Hopkins Univ Hosp, Dept Med, Div Gastroenterol & Hepatol, Baltimore, MD 21287 USA

[3] Johns Hopkins Univ Hosp, Sidney Kimmel Comprehens Canc Ctr, Baltimore, MD 21287 USA

来源：

GENOMICS DATA | 2015年 / 4卷

关键词：

lncRNA; ceRNA; Hepatocellular carcinoma;

D O I：

10.1016/j.gdata.2015.03.016

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

To assess the potential competitive endogenous RNA (ceRNA) network in hepatocellular cancer (HCC), the lncRNA, mRNA, and microRNA microarrays were conducted on 3 pairs of HCC and paired normal liver tissue. After that, the arrays were normalized and analyzed with gene oncology (GO) and pathway analysis. Next, we screened out the pseudogenes and their cognate protein coding genes which are both down-regulated in HCC. Finally, the up-regulated microRNA binding sites were predicted on the most down-regulated pseudogene and its cognate protein-coding gene. All the array data were uploaded to Gene Expression Omnibus (accession number GSE64633). (C) 2015 The Authors. Published by Elsevier Inc.

引用

页码：93 / 95

页数：3

共 4 条

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