Identification of suitable reference genes for gene expression studies of human serous ovarian cancer by real-time polymerase chain reaction

Quantitative real-time RT-PCR (RT-qPCR) has proven to be a valuable molecular technique in gene expression quantification. Target gene expression levels are usually normalized to a stably expressed reference gene simultaneously determined in the same sample. It is critical to select optimal reference genes to interpret data generated by RT-qPCR. However, no suitable reference genes have been identified in human ovarian cancer to date. In this study, 10 housekeeping genes, ACTB, ALAS1, GAPDH, GUSB, HPRT1, PBGD, PPIA, PUM1, RPL29, and TBP as well as 18S rRNA that were already used in various studies were analyzed to determine their applicability. Totally 20 serous ovarian cancer specimens and 20 normal ovarian epithelial tissue specimens were examined. All candidate reference genes showed significant differences in expression between malignant and nonmalignant groups except GUSB, PPIA, and TBP. The expression stability and suitability of the 11 genes were validated employing geNorm and NormFinder. GUSB, PPIA, and TBP were demonstrated as the most stable reference genes and thus could be used as reference genes for normalization in gene profiling studies of serous ovarian cancer, while the combination of two genes (GUSB and PPIA) or the all three genes should be recommended as a much more reliable normalization strategy.     

Selection of appropriate reference genes for gene expression studies by quantitative real-time polymerase chain reaction in cucumber

Quantitative real-time polymerase chain reaction (QRT-PCR) has become one of the most widely used methods for gene expression analysis. However, the expression profile of a target gene may be misinterpreted due to unstable expression of the reference genes under different experimental conditions. Thus, a systematic evaluation of these reference genes is necessary before experiments are performed. In this study, 10 putative reference genes were chosen for identifying expression stability using geNorm, NormFinder, and BestKeeper statistical algorithms in 12 different cucumber sample pools, including those from different plant tissues and from plants treated with hormones and abiotic stresses. EF1α and UBI-ep exhibited the most stable expression across all of the tested cucumber samples. In different tissues, in addition to expression of EF1α and UBI-ep, the expression of TUA was also stable and was considered as an appropriate reference gene. Evaluation of samples treated with different hormones revealed that TUA and UBI-ep were the most stably expressed genes. However, for abiotic stress treatments, only EF1α showed a relatively stable expression level. In conclusion, TUA, UBI-ep, and EF1α will be particularly helpful for reliable QRT-PCR data normalization in these types of samples. This study also provides guidelines for selecting different reference genes under different conditions.     

Selection of reference genes for quantitative real-time polymerase chain reaction studies in rat osteoblasts

Quantitative real-time polymerase chain reaction (qRT-PCR) is a powerful tool to evaluate gene expression, but its accuracy depends on the choice and stability of the reference genes used for normalization. In this study, we aimed to identify reference genes for studies on osteoblasts derived from rat bone marrow mesenchymal stem cells (bone marrow osteoblasts), osteoblasts derived from newborn rat calvarial (calvarial osteoblasts), and rat osteosarcoma cell line UMR-106. The osteoblast phenotype was characterized by ALP activity and extracellular matrix mineralization. Thirty-one candidates for reference genes from a Taqman^® array were assessed by qRT-PCR, and their expressions were analyzed by five different approaches. The data showed that several of the most traditional reference genes, such as Actb and Gapdh, were inadequate for normalization and that the experimental conditions may affect gene stability. Eif2b1 was frequently identified among the best reference genes in bone marrow osteoblasts, calvarial osteoblasts, and UMR-106 osteoblasts. Selected stable and unstable reference genes were used to normalize the gene expression of Runx2, Alp, and Oc. The data showed statistically significant differences in the expression of these genes depending on the stability of the reference gene used for normalization, creating a bias that may induce incorrect assumptions in terms of osteoblast characterization of these cells. In conclusion, our study indicates that a rigorous selection of reference genes is a key step in qRT-PCR studies in osteoblasts to generate precise and reliable data.     

Selection of reliable reference genes for quantitative real-time polymerase chain reaction studies in maize grains

Key message

The stability of candidate reference genes was evaluated in maize landrace varieties and during multiple grain developmental stages to evaluate the expression of carotenoid-related genes by RT-qPCR for application to maize biofortification.

Abstract

Vitamin A deficiency affects millions of children worldwide; therefore, increasing the content of vitamin A precursors in maize grains is of interest. The study of the expression of genes involved in the carotenoid biosynthetic pathway in maize grains has provided useful information for metabolic engineering approaches. However, reliable results using real-time quantitative polymerase chain reaction (RT-qPCR) experiments are dependent on the use of the appropriate reference genes. In this study, we utilized geNorm and NormFinder softwares to identify the most stably expressed candidate reference genes in samples from seven stages of grain development and from eight landrace varieties. The results of the analysis performed using geNorm indicated that tubulin (TUB) and actin (ACT) were the most suitable reference genes among all experimental conditions, while glyceraldehyde-3-phosphate dehydrogenase gene (GAPDH) showed the least stability. The same result was obtained with the NormFinder software. The minimum number of genes required in each experimental condition to normalize the gene expression data was also determined by geNorm. The expression of phytoene synthase gene (PSY1), the first enzyme in the carotenoid biosynthetic pathway, was overestimated when the least stable candidate gene (GAPDH) was used as the internal control instead of the most stable gene pair (ACT + TUB), thus highlighting the importance of validating reference genes before conducting a RT-qPCR experiment to obtain accurate results. This study is the first survey of the stability of genes for use as reference genes to normalize RT-qPCR data from maize landraces during multiple stages of grain development.     

A survey of quantitative real-time polymerase chain reaction internal reference genes for expression studies in Brassica napus

Eight reference genes of Brassica napus were evaluated using quantitative real-time polymerase chain reaction (qRT-PCR) data, focusing on vegetative tissues and developing embryos. Analyses of expression stability indicated that UP1, UBC9, UBC21, and TIP41 were the top four choices as stably expressed reference genes for vegetative tissues, whereas ACT7, UBC21, TIP41, and PP2A were the top four choices for maturing embryos. In addition, radiolabeling of overall messenger RNA (mRNA) of maturing embryos indicated that the expression patterns of the top four ranked reference genes reflected the overall mRNA content changes in maturing embryos.     

Selection of reference genes for gene expression studies in rats

Selection of the most stable reference gene is critical for a reliable interpretation of gene expression data using RT-PCR. In order so, 17 commonly used genes were analyzed in Wistar rat duodenum, jejunum, ileum and liver following a fat gavage and at two time periods. These reference genes were also tested in liver from Zucker (fa/fa) on a long-term dietary trial. Four strategies were used to select the most suitable reference gene for each tissue: ranking according to biological coefficient of variation and further validation by statistical comparison among groups, geNorm, NormFinder and BestKeeper programs. No agreement was observed among these approaches for a particular gene, nor a common gene for all tissues. Furthermore we demonstrated that normalising using an inadequate reference conveyed into false negative and positive results. The selection of genes provided by BestKeeper resulted in more reliable results than the other statistical packages. According to this program, Tbp, Ubc, Hprt and Rn18s were the best reference genes for duodenum, jejunum, ileum and liver, respectively following a fat gavage in Wistar rats and Rn18s for liver in another rat strain on a long-term dietary intervention. Therefore, BestKeeper is highly recommendable to select the most stable gene to be used as internal standard and the selection of a specific reference expression gene requires a validation for each tissue and experimental design.     

Improved biplex quantitative real-time polymerase chain reaction with modified primers for gene expression analysis

Stabilizing modified bases incorporated in primers allows the reduction of housekeeping gene primer concentration not possible with regular primers without sacrificing amplification efficiency. Low primer concentration allows coamplification of the most abundant housekeeping genes with very rare templates without mutual inhibition. Real-time polymerase chain reaction (PCR) coamplification of 18S ribosomal RNA with several genes of interest was used in this study with MGB Eclipse (Nanogen, San Diego, CA) hybridization probes. The results may be useful for high throughput gene expression studies as they simplify validation experiments.     

Selection of reference genes for gene expression studies in human neutrophils by real-time PCR

Background  

Reference genes, which are often referred to housekeeping genes, are frequently used to normalize mRNA levels between different samples. However the expression level of these genes may vary among tissues or cells, and may change under certain circumstances. Thus the selection of reference gene(s) is critical for gene expression studies. For this purpose, 10 commonly used housekeeping genes were investigated in isolated human neutrophils.     

Selection of reliable reference genes for gene expression studies in peach using real-time PCR

Background  

RT-qPCR is a preferred method for rapid and reliable quantification of gene expression studies. Appropriate application of RT-qPCR in such studies requires the use of reference gene(s) as an internal control to normalize mRNA levels between different samples for an exact comparison of gene expression level. However, recent studies have shown that no single reference gene is universal for all experiments. Thus, the identification of high quality reference gene(s) is of paramount importance for the interpretation of data generated by RT-qPCR. Only a few studies on reference genes have been done in plants and none in peach (Prunus persica L. Batsch). Therefore, the present study was conducted to identify suitable reference gene(s) for normalization of gene expression in peach.     

Validation of reference genes for quantitative real-time polymerase chain reaction assay of honeybee under various pesticide treatment conditions

In quantitative real-time polymerase chain reaction (qRT-PCR), target gene expression levels are normalized to internal reference gene(s) that are stably expressed across different conditions to determine whether they are up- or down-regulated. Therefore, it is essential to select appropriate reference gene(s) for the accurate comparison of target gene expression across different experimental conditions. Honeybee colonies can be damaged due to pesticide exposure, resulting in a decline of their population. Determination of gene expression levels is important for understanding the physiological response of honeybees to pesticide exposure. Therefore, in this study, we used qRT-PCR to analyze the expression stability of five candidate reference genes (RPS5, RPS18, GAPDH, ARF1, and RAB1a) in honeybees subjected to treatment with different dosages and exposure durations of seven pesticides (acetamiprid, imidacloprid, flupyradifurone, fenitrothion, carbaryl, amitraz, and bifenthrin) using four programs (geNorm, NormFinder, BestKeeper, and RefFinder). Subsequently, the expression levels of the target genes (PER, FOR, and EGR1) were calculated using different normalization methods and compared. Based on our collective results, we propose RPS5 as the most appropriate reference gene for the normalization of target gene expression levels in qRT-PCR assays for honeybees under various conditions of pesticide exposure, including pesticide type, exposure duration, and concentration.     

Evaluation of appropriate reference genes for gene expression studies in pepper by quantitative real-time PCR

Quantitative real-time polymerase chain reaction (qRT-PCR) has been extensively used in several plant species as an accurate technique for gene expression analysis. However, the expression level of a target gene may be misconstrued due to unstable expression of the reference genes under different experimental conditions. Therefore, it is necessary to systematically evaluate these reference genes before experiments are conducted. Recently, more and more studies have focused on gene expression in pepper (Capsicum annuum L.). In this study, ten putative reference genes were chosen to identify expression stability by using geNorm and NormFinder statistical algorithms in ten different pepper sample pools, including those from different plant tissues (root, stem, leaf and flower) and from plants treated with hormones (salicylic acid and gibberellic acid) and abiotic stresses (cold, heat, salt and drought). EF1?? and UEP exhibited the most stable expression across all of the tested pepper samples. For abiotic stress or different hormone treatment, the ranking of candidate reference genes was not completely consistent, except for EF1?? which showed a relatively stable expression level. For different tissues, the expression of Actin1 was stable and it was considered an appropriate reference gene. It is concluded that EF1??, UEP and Actin1 are suitable reference genes for reliable qRT-PCR data normalization for the tissues and experimental conditions used in this experiment.     

Microarray-driven validation of reference genes for quantitative real-time polymerase chain reaction in a rat vocal fold model of mucosal injury

Relative quantification by normalization against a stably expressed reference gene is a widely used data analysis method in microarray and quantitative real-time polymerase chain reaction (qRT-PCR) platforms; however, recent evidence suggests that many commonly utilized reference genes are unstable in certain experimental systems and situations. The primary aim of this study, therefore, was to screen and identify stably expressed reference genes in a well-established rat model of vocal fold mucosal injury. We selected and evaluated the expression stability of nine candidate reference genes. Ablim1, Sptbn1, and Wrnip1 were identified as stably expressed in a model-specific microarray dataset and were further validated as suitable reference genes in an independent qRT-PCR experiment using 2^−ΔCT and pairwise comparison-based (geNorm) analyses. Parallel analysis of six commonly used reference genes identified Sdha as the only stably expressed candidate in this group. Sdha, Sptbn1, and the geometric mean of Sdha and Sptbn1 each provided accurate normalization of target gene Tgfb1; Gapdh, the least stable candidate gene in our dataset, provided inaccurate normalization and an invalid experimental result. The stable reference genes identified here are suitable for accurate normalization of target gene expression in vocal fold mucosal injury experiments.     

Identification and testing of reference genes for Sesame gene expression analysis by quantitative real-time PCR

Sesame (Sesamum indicum L.) is an ancient and important oilseed crop. However, few sesame reference genes have been selected for quantitative real-time PCR until now. Screening and validating reference genes is a requisite for gene expression normalization in sesame functional genomics research. In this study, ten candidate reference genes, i.e., SiACT, SiUBQ6, SiTUB, Si18S rRNA, SiEF1α, SiCYP, SiHistone, SiDNAJ, SiAPT and SiGAPDH, were chosen and examined systematically in 32 sesame samples. Three qRT-PCR analysis methods, i.e., geNorm, NormFinder and BestKeeper, were evaluated systematically. Results indicated that all ten candidate reference genes could be used as reference genes in sesame. SiUBQ6 and SiAPT were the optimal reference genes for sesame plant development; SiTUB was suitable for sesame vegetative tissue development, SiDNAJ for pathogen treatment, SiHistone for abiotic stress, SiUBQ6 for bud development and SiACT for seed germination. As for hormone treatment and seed development, SiHistone, SiCYP, SiDNAJ or SiUBQ6, as well as SiACT, SiDNAJ, SiTUB or SiAPT, could be used as reference gene, respectively. To illustrate the suitability of these reference genes, we analyzed the expression variation of three functional sesame genes of SiSS, SiLEA and SiGH in different organs using the optimal qRT-PCR system for the first time. The stability levels of optimal and worst reference genes screened for seed development, anther sterility and plant development were validated in the qRT-PCR normalization. Our results provided a reference gene application guideline for sesame gene expression characterization using qRT-PCR system.