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Identification of suitable reference genes for real-time PCR analysis of statin-treated human umbilical vein endothelial cells.

ABSTRACT: Proper data normalization in quantitative real-time reverse-transcription polymerase chain reaction (RT-qPCR) is of critical importance for reliable mRNA expression analysis. Due to a diversity in putative reference genes expression stability in different in vitro models, a validation of an internal control gene should be made for each particular tissue or cell type and every specific experimental design. A few approaches have been proposed for reference gene selection, including pair-wise comparison approach and model-based approach. In this article we have assessed the expression stability of eight putative reference genes: ACTB, B2M, GADD45A, GAPDH, HPRT1, PES1, PSMC4, YWHAZ, in human umbilical vein endothelial cells (HUVEC) treated with different statins and with TNF-?. The analysis was performed with three reference gene validation programs: geNorm, NormFinder and BestKeeper. We have shown that hypoxanthine phosphoribosyltransferase 1 gene (HPRT1) and tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptide gene (YWHAZ) are the most stably expressed genes among the analyzed ones. Furthermore, our results show that ?-actin gene (ACTB) is downregulated by statins and thus should not be used as a normalizing gene in a discussed experimental setup. A ranking of candidate reference genes stability values is provided and might serve as a valuable guide for future gene expression studies in endothelial cells. This is the first report on reference gene selection for RT-qPCR applications in statin-treated HUVEC model.

SUBMITTER: Zyzynska-Granica B

PROVIDER: S-EPMC3519707 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Identification of suitable reference genes for real-time PCR analysis of statin-treated human umbilical vein endothelial cells.

Żyżyńska-Granica Barbara B Koziak Katarzyna K

PloS one 20121210 12

Proper data normalization in quantitative real-time reverse-transcription polymerase chain reaction (RT-qPCR) is of critical importance for reliable mRNA expression analysis. Due to a diversity in putative reference genes expression stability in different in vitro models, a validation of an internal control gene should be made for each particular tissue or cell type and every specific experimental design. A few approaches have been proposed for reference gene selection, including pair-wise compa ...[more]

PMID: 23251572

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Project description:BackgroundQuantitative real-time PCR (qPCR) is a widely used technique for gene expression analysis. Its reliability is highly dependent upon selection of the appropriate reference genes for accurate gene expression normalization. In this study, we investigated the expression stability of 10 commonly used reference genes in a mouse myocardial infarction model.Methods & resultsThe expression stability of the 10 reference genes (Actb, B2m, Eef1a1, Gapdh, Hprt, Polr2a, Ppia, Rpl13a, Tbp, Tpt1) was analyzed using the geNorm software. Overall, the combination of Hprt, Rpl13a and Tpt1 was the most stable reference gene set in our experiments. Gapdh, Polr2a and Actb consistently showed the highest gene expression variability and the expression levels of Gapdh, Polr2a, Actb, B2m and Eef1a1 were found to be selectively up- or downregulated after myocardial infarction. We normalized the expression of Nppb and Vcam1, using different reference gene strategies and demonstrated that their induction after myocardial infarction was most clearly revealed with the optimal reference gene combination. However, the use of suboptimal reference gene combinations resulted in detrimental effects on gene expression levels and variability with a gradual loss of the expression differences and a significant reduction in statistical power.ConclusionsHprt, Rpl13a and Tpt1 are a set of stably expressed reference genes for accurate gene expression normalization in myocardial infarction studies in mice. We found that Gapdh, Polr2a and Actb display high expression variability in mouse myocardial infarction tissues and that loss of statistical power and increase in sample size are the evident consequences of choosing suboptimal combinations of reference genes. We furthermore caution against the use of Gapdh, Polr2a, Actb, B2m and Eef1a1 for gene expression normalization in myocardial infarction studies because of selective up- or downregulation after myocardial infarction, which could potentially lead to biased study outcomes.

Dataset Information

Identification of suitable reference genes for real-time PCR analysis of statin-treated human umbilical vein endothelial cells.

Publications

Identification of suitable reference genes for real-time PCR analysis of statin-treated human umbilical vein endothelial cells.

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