Microarray gene expression profiles in dilated and hypertrophic cardiomyopathic end-stage heart failure.

Published online

Journal Article

Despite similar clinical endpoints, heart failure resulting from dilated cardiomyopathy (DCM) or hypertrophic cardiomyopathy (HCM) appears to develop through different remodeling and molecular pathways. Current understanding of heart failure has been facilitated by microarray technology. We constructed an in-house spotted cDNA microarray using 10,272 unique clones from various cardiovascular cDNA libraries sequenced and annotated in our laboratory. RNA samples were obtained from left ventricular tissues of precardiac transplantation DCM and HCM patients and were hybridized against normal adult heart reference RNA. After filtering, differentially expressed genes were determined using novel analyzing software. We demonstrated that normalization for cDNA microarray data is slide-dependent and nonlinear. The feasibility of this model was validated by quantitative real-time reverse transcription-PCR, and the accuracy rate depended on the fold change and statistical significance level. Our results showed that 192 genes were highly expressed in both DCM and HCM (e.g., atrial natriuretic peptide, CD59, decorin, elongation factor 2, and heat shock protein 90), and 51 genes were downregulated in both conditions (e.g., elastin, sarcoplasmic/endoplasmic reticulum Ca2+-ATPase). We also identified several genes differentially expressed between DCM and HCM (e.g., alphaB-crystallin, antagonizer of myc transcriptional activity, beta-dystrobrevin, calsequestrin, lipocortin, and lumican). Microarray technology provides us with a genomic approach to explore the genetic markers and molecular mechanisms leading to heart failure.

Full Text

Duke Authors

Cited Authors

  • Hwang, J-J; Allen, PD; Tseng, GC; Lam, C-W; Fananapazir, L; Dzau, VJ; Liew, C-C

Published Date

  • July 12, 2002

Published In

Volume / Issue

  • 10 / 1

Start / End Page

  • 31 - 44

PubMed ID

  • 12118103

Electronic International Standard Serial Number (EISSN)

  • 1531-2267

Digital Object Identifier (DOI)

  • 10.1152/physiolgenomics.00122.2001

Language

  • eng

Conference Location

  • United States