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

Haoran Peng; Minqiang Lu; Florin M. Selaru

doi:10.1016/j.gdata.2015.03.016

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

Haoran Peng, Minqiang Lu, Florin M. Selaru

School of Medicine

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

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).

Original language	English (US)
Pages (from-to)	93-95
Number of pages	3
Journal	Genomics Data
Volume	4
DOIs	https://doi.org/10.1016/j.gdata.2015.03.016
State	Published - Jun 1 2015

Keywords

CeRNA
Hepatocellular carcinoma
LncRNA

ASJC Scopus subject areas

Biotechnology
Biochemistry
Molecular Medicine
Genetics

Access to Document

10.1016/j.gdata.2015.03.016

Cite this

@article{7eb4d0130fce4499940fef4e1dc2390f,

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

abstract = "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).",

keywords = "CeRNA, Hepatocellular carcinoma, LncRNA",

author = "Haoran Peng and Minqiang Lu and Selaru, {Florin M.}",

note = "Publisher Copyright: {\textcopyright} 2015 The Authors.",

year = "2015",

month = jun,

day = "1",

doi = "10.1016/j.gdata.2015.03.016",

language = "English (US)",

volume = "4",

pages = "93--95",

journal = "Genomics Data",

issn = "2213-5960",

publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - The genome-wide gene expression profiling to predict competitive endogenous RNA network in hepatocellular cancer

AU - Peng, Haoran

AU - Lu, Minqiang

AU - Selaru, Florin M.

PY - 2015/6/1

Y1 - 2015/6/1

N2 - 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).

AB - 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).

KW - CeRNA

KW - Hepatocellular carcinoma

KW - LncRNA

UR - http://www.scopus.com/inward/record.url?scp=84929417461&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84929417461&partnerID=8YFLogxK

U2 - 10.1016/j.gdata.2015.03.016

DO - 10.1016/j.gdata.2015.03.016

M3 - Article

C2 - 26484188

AN - SCOPUS:84929417461

SN - 2213-5960

VL - 4

SP - 93

EP - 95

JO - Genomics Data

JF - Genomics Data

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this