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Whole transcriptome microarrays identify long non-coding RNAs associated with cardiac hypertrophy

Authors :
Lu Zhang
Eman A. Hamad
Mélanie Vausort
Hajime Funakoshi
Nathalie Nicot
Petr V. Nazarov
Laurent Vallar
Arthur M. Feldman
Daniel R. Wagner
Yvan Devaux
Source :
Genomics Data, Vol 5, Iss C, Pp 68-71 (2015)
Publication Year :
2015
Publisher :
Elsevier, 2015.

Abstract

Long non-coding RNAs (lncRNAs) have recently emerged as a novel group of non-coding RNAs able to regulate gene expression. While their role in cardiac disease is only starting to be understood, their involvement in cardiac hypertrophy is poorly known. We studied the association between lncRNAs and left ventricular hypertrophy using whole transcriptome microarrays. Wild-type mice and mice overexpressing the adenosine A2A receptor were subjected to transverse aortic constriction (TAC) to induce left ventricular hypertrophy. Expression profiles of lncRNAs in the heart were characterized using genome-wide microarrays. An analytical pipeline was specifically developed to extract lncRNA data from microarrays. We identified 2 lncRNAs up-regulated and 3 lncRNAs down-regulated in the hearts of A2A-receptor overexpressing-mice subjected to TAC compared to wild-type mice. Differential expression of these 2 lncRNAs was validated by quantitative PCR. Complete microarray dataset is available at Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/) under the accession number GSE45423. Here, we describe in details the experimental design, microarray performance and analysis.

Subjects

Subjects :
Genetics
QH426-470

Details

Language :
English
ISSN :
22135960
Volume :
5
Issue :
C
Database :
Directory of Open Access Journals
Journal :
Genomics Data
Publication Type :
Academic Journal
Accession number :
edsdoj.452d08f2250496daa3dd4a9f5731b20
Document Type :
article
Full Text :
https://doi.org/10.1016/j.gdata.2015.05.014