Microarray profiling of long non-coding RNA (lncRNA) associated with hypertrophic cardiomyopathy

BMC Cardiovascular Disorders

Research Article

Fawei He¹  Haixiang Wu¹  Wei Yang¹  Yuan Li¹ 

[1] Department of Ultrasonics, The Second Hospital of Sichuan, No. 55, People’s South Road, Wuhou District, 610041, Chengdu, Sichuan, China;

关键词: Hypertrophic cardiomyopathy;    LncRNA;    Gene ontology;    KEGG pathway;   

DOI  :  10.1186/s12872-015-0056-7

 received in 2014-11-23, accepted in 2015-06-11,  发布年份 2015

来源: Springer

【 摘 要 】

BackgroundHypertrophic cardiomyopathy (HCM) is an inherited disorder with around 1400 known mutations; however the molecular pathways leading from genotype to phenotype are not fully understood. LncRNAs, which account for approximately 98 % of human genome, are becoming increasingly interesting with regard to various diseases. However, changes in the expression of regulatory lncRNAs in HCM have not yet been reported.To identify myocardial lncRNAs involved in HCM and characterize their roles in HCM pathogenesis.MethodsMyocardial tissues were obtained from 7 HCM patients and 5 healthy individuals, and lncRNA and mRNA expression profiles were analyzed using the Arraystar human lncRNA microarray. Real-time PCR was conducted to validate the expression pattern of lncRNA and mRNA. Gene ontology (GO) enrichment and KEGG analysis of mRNAs was conducted to identify the related biological modules and pathologic pathways.ResultsApproximately 1426 lncRNAs (965 up-regulated and 461 down-regulated) and 1715 mRNAs (896 up-regulated and 819 down-regulated) were aberrantly expressed in HCM patients with fold change > 2.0. GO analysis indicated that these lncRNAs–coexpressed mRNAs were targeted to translational process. Pathway analysis indicated that lncRNAs–coexpressed mRNAs were mostly enriched in ribosome and oxidative phosphorylation.ConclusionLncRNAs are involved in the pathogenesis of HCM through the modulation of multiple pathogenetic pathways.

【 授权许可】

Unknown   
© Yang et al. 2015. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.