Microarray Analysis in Cardiac Arrhythmias: A New Perspective?

The opportunity to distinguish an accurate set of genes associated with multigenic diseases such as cardiomyopathies or cardiac arrhythmias was very limited before the genomic era. Numerous methods of measuring RNA abundance exist, including northern blotting, multiplex polymerase chain reaction (PC...

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Bibliographic Details
Published in:Pacing and clinical electrophysiology 2013-07, Vol.36 (7), p.911-917
Main Authors: MORIC-JANISZEWSKA, EWA, HIBNER, GRZEGORZ
Format: Article
Language:English
Subjects:
Arrhythmias, Cardiac - diagnosis
Arrhythmias, Cardiac - metabolism
Biomarkers - analysis
cardiac arrhythmias
expression analysis
Forecasting
Gene Expression Profiling - methods
Gene Expression Profiling - trends
Humans
Metabolome
microarray analysis
Oligonucleotide Array Sequence Analysis - methods
Oligonucleotide Array Sequence Analysis - trends
TaqMan technique
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Summary:The opportunity to distinguish an accurate set of genes associated with multigenic diseases such as cardiomyopathies or cardiac arrhythmias was very limited before the genomic era. Numerous methods of measuring RNA abundance exist, including northern blotting, multiplex polymerase chain reaction (PCR), and quantitative real‐time reverse transcriptase‐PCR. However, these techniques might be used to assess the expression levels of only 10–50 genes at time. Today, DNA microarrays provide us with opportunity to simultaneously analyze tens of thousands of genes, giving a remarkable possibility to investigate the genomic contribution to cardiovascular diseases. A particular tissue at any stage of health or disease may be used to generate a genomic profile. Microarray techniques are already used in infectious diseases, oncology, and pharmacology to facilitate clinicians, risk‐stratify patients, as well as to predict and assess therapeutic responses to drugs. In this paper, we describe recent advances in the use of various types of microarray technique in the diagnosis of arrhythmogenic heart disease. We also highlight other strategies and methods of differential gene typing comparing with pros and cons of microarray analysis.
ISSN:0147-8389
1540-8159
DOI:10.1111/pace.12143