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Validation of Endogenous Reference Genes for QRT-PCR Analysis of Human Visceral Adipose Samples

Overview
Journal BMC Mol Biol
Publisher Biomed Central
Specialty Molecular Biology
Date 2010 May 25
PMID 20492695
Citations 57
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Abstract

Background: Given the epidemic proportions of obesity worldwide and the concurrent prevalence of metabolic syndrome, there is an urgent need for better understanding the underlying mechanisms of metabolic syndrome, in particular, the gene expression differences which may participate in obesity, insulin resistance and the associated series of chronic liver conditions. Real-time PCR (qRT-PCR) is the standard method for studying changes in relative gene expression in different tissues and experimental conditions. However, variations in amount of starting material, enzymatic efficiency and presence of inhibitors can lead to quantification errors. Hence the need for accurate data normalization is vital. Among several known strategies for data normalization, the use of reference genes as an internal control is the most common approach. Recent studies have shown that both obesity and presence of insulin resistance influence an expression of commonly used reference genes in omental fat. In this study we validated candidate reference genes suitable for qRT-PCR profiling experiments using visceral adipose samples from obese and lean individuals.

Results: Cross-validation of expression stability of eight selected reference genes using three popular algorithms, GeNorm, NormFinder and BestKeeper found ACTB and RPII as most stable reference genes.

Conclusions: We recommend ACTB and RPII as stable reference genes most suitable for gene expression studies of human visceral adipose tissue. The use of these genes as a reference pair may further enhance the robustness of qRT-PCR in this model system.

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References
1.
Bustin S . Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays. J Mol Endocrinol. 2000; 25(2):169-93. DOI: 10.1677/jme.0.0250169. View

2.
Hamaguchi M, Kojima T, Takeda N, Nakagawa T, Taniguchi H, Fujii K . The metabolic syndrome as a predictor of nonalcoholic fatty liver disease. Ann Intern Med. 2005; 143(10):722-8. DOI: 10.7326/0003-4819-143-10-200511150-00009. View

3.
Baranova A, Hammarsund M, Ivanov D, Skoblov M, Sangfelt O, Corcoran M . Distinct organization of the candidate tumor suppressor gene RFP2 in human and mouse: multiple mRNA isoforms in both species- and human-specific antisense transcript RFP2OS. Gene. 2003; 321:103-12. DOI: 10.1016/j.gene.2003.08.007. View

4.
Garg A, Misra A . Hepatic steatosis, insulin resistance, and adipose tissue disorders. J Clin Endocrinol Metab. 2002; 87(7):3019-22. DOI: 10.1210/jcem.87.7.8736. View

5.
Grundy S . Obesity, metabolic syndrome, and cardiovascular disease. J Clin Endocrinol Metab. 2004; 89(6):2595-600. DOI: 10.1210/jc.2004-0372. View