Identification of endogenous control genes for gene expression studies in peripheral blood of patients with coronary artery disease

Abstarct The selection of stable endogenous control genes is critical for normalization of quantitative realtime PCR (qPCR) data. In this study, we aimed to identify a suitable set of control genes to be used as endogenous references for gene expression evaluation in human peripheral blood samples a...

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Bibliographic Details
Published in:Molecular biology (New York) 2013-03, Vol.47 (2), p.192-196
Main Authors: Fong, Siew Wai, Ibrahim, Suhairi, Mohamed, Mohd Sapawi, Few, Ling Ling, Too, Wei Cun See, Khoo, Boon Yin, Yusof, Zurkurnai, Rahman, Abdul Rashid Abdul, Yvonne-Tee, Get Bee
Format: Article
Language:English
Subjects:
Acute coronary syndromes
Biochemistry
Biomedical and Life Sciences
Blood
Cardiovascular disease
Gene expression
Genomics. Transcriptomics
Human Genetics
Life Sciences
Polymerase chain reaction
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Summary:Abstarct The selection of stable endogenous control genes is critical for normalization of quantitative realtime PCR (qPCR) data. In this study, we aimed to identify a suitable set of control genes to be used as endogenous references for gene expression evaluation in human peripheral blood samples among coronary artery disease patients. The expression levels of 12 endogenous control genes procured from TATAA Biocenter (Goteborg, Sweden) were measured in five acute coronary syndrome patients and five chronic stable angina patients. Gene expression stability was analyzed using two different software applications i.e geNorm and NormFinder. Results suggested that beta-glucuronidase is the most stable endogenous control, followed by hypoxanthine-guanine phosphoribosyltransferase. The NormFinder analysis further confirmed that betaglucuronidase and hypoxanthine-guanine phosphoribosyltransferase were on the first rank order with the most stable expression among endogenous control genes analyzed and 60S acidic ribosomal protein P0. Besides, the expression levels of 18S rRNA were revealed to be highly variable between coronary heart disease patients. We thus recommend the use of beta-glucuronidase and hypoxanthine-guanine phosphoribosyltransferase as reference genes for accurate normalization of relative quantities of gene expression levels in coronary artery disease patients using qPCR. Also the use of 18S rRNA as a control gene should be avoided.
ISSN:0026-8933
1608-3245
DOI:10.1134/S0026893313020064