2017
DOI: 10.1038/s41598-017-16916-y
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A simple method to assess group difference in RT-qPCR reference gene selection using GeNorm: The case of the placental sex

Abstract: Normalization with proper reference genes is a crucial step in obtaining accurate mRNA expression levels in RT-qPCR experiments. GeNorm and NormFinder are two commonly used software packages that help in selecting the best reference genes, based on their expression stability. However, GeNorm does not take into account a group variable, such as sample sex, in its calculation. We demonstrate a simple calculation step to assess the variability of such parameters by multiplying the GeNorm M value with the differen… Show more

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Cited by 27 publications
(17 citation statements)
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“…Quantitative RT-PCR analysis was carried out as per the manufacturer’s instructions (Applied Biosystems, Foster City, CA, United States) using Taq-Man Gene Expression Assays on a Qiagen Rotor-Gene Q. Data were normalized to vehicle treated controls and compared to five reference targets (Hmbs, B2M, TBP, H2afv, and 18s), which were evaluated for expression stability using GeNorm ( St-Pierre et al, 2017 ).…”
Section: Methodsmentioning
confidence: 99%
“…Quantitative RT-PCR analysis was carried out as per the manufacturer’s instructions (Applied Biosystems, Foster City, CA, United States) using Taq-Man Gene Expression Assays on a Qiagen Rotor-Gene Q. Data were normalized to vehicle treated controls and compared to five reference targets (Hmbs, B2M, TBP, H2afv, and 18s), which were evaluated for expression stability using GeNorm ( St-Pierre et al, 2017 ).…”
Section: Methodsmentioning
confidence: 99%
“…A set of three endogenous reference miRNAs were identified using geNorm and NormFinder ( 30 , 31 ). The geometric mean of the three normalizers was used to normalize the miRNA expression data across subjects.…”
Section: Methodsmentioning
confidence: 99%
“…Five different statistical algorithms were used to evaluate the stabilities of candidate reference gene expression. The geNorm algorithm was used to calculate the gene expression stability by measuring the M values, and to determine the optimal number of reference genes for this study as described previously [27]. The NormFinder algorithm utilized a linear mixed effect model to estimate both intra- and inter-group variations, and to rank the candidate reference genes by the stabilityvalues (SV) [28].…”
Section: Methodsmentioning
confidence: 99%