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.     

实时荧光定量PCR中内参基因的选择

实时荧光定量PCR技术是分析基因表达谱的一种常用方法,在分析中选择合适的内参基因对数据进行校正是得到可信数据的关键。以Lactobacillus helveticus H9为研究对象,应用实时荧光定量PCR技术,评价了5种常用内参基因ldh、recA、rpoB、gapdh和16S rRNA的表达稳定性,通过geNorm和NormFinder程序进行数据分析,结果表明5个候选内参基因在菌株不同的发酵时间点表达相对都较为稳定,结合两种分析得到其中最为稳定的基因是ldh,适合于用作后续实时荧光定量PCR试验中的内参基因。     

Detection of stable reference genes for real-time PCR analysis in schizophrenia and bipolar disorder

Gene expression studies using postmortem human brain tissue are a common tool for studying the etiology of psychiatric disorders. Quantitative real-time PCR (qPCR) is an accurate and sensitive technique used for gene expression analysis in which the expression level is quantified by normalization to one or more reference genes. Therefore, accurate data normalization is critical for validating results obtained by qPCR. This study aimed to identify genes that may serve as reference in postmortem dorsolateral-prefrontal cortices (Brodmann’s area 46) of schizophrenics, bipolar disorder (BPD) patients, and control subjects. In the exploratory stage of the analysis, samples of four BPD patients, two schizophrenics, and two controls were quantified using the TaqMan Low Density Array endogenous control panel, containing assays for 16 commonly used reference genes. In the next stage, six of these genes (TFRC, RPLP0, ACTB, POLR2a, B2M, and GAPDH) were quantified by qPCR in 12 samples of each clinical group. Expressional stability of the genes was determined by GeNorm and NormFinder. TFRC and RPLP0 were the most stably expressed genes, whereas the commonly used 18S, POLR2a, and GAPDH were the least stable. This report stresses the importance of examining expressional stability of candidate reference genes in the specific sample collection to be analyzed.     

Robust regression methods for real-time polymerase chain reaction

Current real-time polymerase chain reaction (PCR) data analysis methods implement linear least squares regression methods for primer efficiency estimation based on standard curve dilution series. This method is sensitive to outliers that distort the outcome and are often ignored or removed by the end user. Here, robust regression methods are shown to provide a reliable alternative because they are less affected by outliers and often result in more precise primer efficiency estimators than the linear least squares method.     

Reference gene selection for real-time RT-PCR in regenerating mouse livers

The liver has an intrinsic ability to undergo active proliferation and recover functional liver mass in response to an injury response. This regenerative process involves a complex yet well orchestrated change in the gene expression profile. To produce accurate and reliable gene expression of target genes during various stages of liver regeneration, the determination of internal control housekeeping genes (HKGs) those are uniformly expressed is required. In the present study, the gene expression of 8 commonly used HKGs, including GAPDH, ACTB, HPRT1, GUSB, PPIA, TBP, TFRC, and RPL4, were studied using mouse livers that were quiescent and actively regenerating induced by partial hepatectomy. The amplification of the HKGs was statistically analyzed by two different mathematical algorithms, geNorm and NormFinder. Using this method, PPIA and TBP gene expression found to be relatively stable regardless of the stages of liver regeneration and would be ideal for normalization to target gene expression.     

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.     

A real-time polymerase chain reaction assay for quantification of allele ratios and correction of amplification bias

Allele-specific epigenetic modifications are crucial for several important biological functions, including genomic imprinting and X-inactivation in mammals. Consequently, an ever increasing number of investigations requires accurate quantification of the relative abundance of parental alleles of a specific sequence in a DNA sample. Here, combining the use of polymorphic restriction sites with real-time polymerase chain reaction (PCR) amplification, we describe a simple and quantitative assay to measure allele ratios. The efficiency of the assay was assessed on genomic DNA for several polymorphic restriction sites located in the mouse Igf2/H19 imprinted locus. The assay was also successfully applied to quantify allele ratio in cDNA samples. In addition, we provide an experimental procedure for detection and correction of potential PCR amplification bias which significantly extends the range of application of the assay.     

Detecting and resolving position-dependent temperature effects in real-time quantitative polymerase chain reaction

Real-time quantitative polymerase chain reaction (qPCR) depends on precise temperature control of the sample during cycling. In the current study, we investigated how temperature variation in plate-based qPCR instruments influences qPCR results. Temperature variation was measured by amplicon melting analysis as a convenient means to assess well-to-well differences. Multiple technical replicates of several SYBR Green I-based qPCR assays allowed correlation of relative well temperature to quantification cycle. We found that inadequate template denaturation results in an inverse correlation and requires increasing the denaturation temperature, adding a DNA destabilizing agent, or pretreating with a restriction enzyme. In contrast, inadequate primer annealing results in a direct correlation and requires lowering the annealing temperature. Significant correlations were found in 18 of 25 assays. The critical nature of temperature-dependent effects was shown in a blinded study of 29 patients for the diagnosis of Prader–Willy and Angelman syndromes, where eight diagnoses were incorrect unless temperature-dependent effects were controlled. A method to detect temperature-dependent effects by pairwise comparisons of replicates in routine experiments is presented and applied. Systematic temperature errors in qPCR instruments can be recognized and their effects eliminated when high precision is required in quantitative genetic diagnostics and critical complementary DNA analyses.     

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.     

Chemically modified primers for improved multiplex polymerase chain reaction

Multiplex polymerase chain reaction (PCR), the amplification of multiple targets in a single reaction, presents a new set of challenges that further complicate more traditional PCR setups. These complications include a greater probability for nonspecific amplicon formation and for imbalanced amplification of different targets, each of which can compromise quantification and detection of multiple targets. Despite these difficulties, multiplex PCR is frequently used in applications such as pathogen detection, RNA quantification, mutation analysis, and (recently) next generation DNA sequencing. Here we investigated the utility of primers with one or two thermolabile 4-oxo-1-pentyl phosphotriester modifications in improving multiplex PCR performance. Initial endpoint and real-time analyses revealed a decrease in off-target amplification and a subsequent increase in amplicon yield. Furthermore, the use of modified primers in multiplex setups revealed a greater limit of detection and more uniform amplification of each target as compared with unmodified primers. Overall, the thermolabile modified primers present a novel and exciting avenue for improving multiplex PCR performance.     

小鼠基因转录表达分析中内参基因的优选

目的 建立小鼠基因转录表达分析中内参基因的选择方法.方法 以C57BL/6J和C3H/HeJ两个品系3个不同组织及2个不同发育阶段为研究对象,应用反转录实时定量PCR技术,评价GAPDH(glyceraldehyde-3-phosphate dehydrogenase)、HPRTl(hypoxanthine phosphoribosyl transferase)、B2M(β2-microglobulin)、PPIA(peptidylprolyl isomerase A)、ACTB(Actin-beta)和18S rRNA(18S ribosomal RNA)等6个看家基因在下丘脑、垂体与卵巢中mRNA水平的表达稳定性.结果 GeNorm统计分析表明,GAPDH和HPRT1表达最为稳定,PPIA等次之,B2M在不同组织和发育阶段中都几乎无表达.结论 成功筛选到GAPDH和HPRT1两个稳定表达的看家基因,证实了小鼠基因表达转录分析中内参基因选择的必要性和可行性.     

Quantitative analysis of total mitochondrial DNA: competitive polymerase chain reaction versus real-time polymerase chain reaction

An efficient and effective method for quantification of small amounts of nucleic acids contained within a sample specimen would be an important diagnostic tool for determining the content of mitochondrial DNA (mtDNA) in situations where the depletion thereof may be a contributing factor to the exhibited pathology phenotype. This study compares two quantification assays for calculating the total mtDNA molecule number per nanogram of total genomic DNA isolated from human blood, through the amplification of a 613-bp region on the mtDNA molecule. In one case, the mtDNA copy number was calculated by standard competitive polymerase chain reaction (PCR) technique that involves co-amplification of target DNA with various dilutions of a nonhomologous internal competitor that has the same primer binding sites as the target sequence, and subsequent determination of an equivalence point of target and competitor concentrations. In the second method, the calculation of copy number involved extrapolation from the fluorescence versus copy number standard curve generated by real-time PCR using various dilutions of the target amplicon sequence. While the mtDNA copy number was comparable using the two methods (4.92 +/- 1.01 x 10(4) molecules/ng total genomic DNA using competitive PCR vs 4.90 +/- 0.84 x 10(4) molecules/ng total genomic DNA using real-time PCR), both inter- and intraexperimental variance were significantly lower using the real-time PCR analysis. On the basis of reproducibility, assay complexity, and overall efficiency, including the time requirement and number of PCR reactions necessary for the analysis of a single sample, we recommend the real-time PCR quantification method described here, as its versatility and effectiveness will undoubtedly be of great use in various kinds of research related to mitochondrial DNA damage- and depletion-associated disorders.     

夜香树花期荧光定量PCR内参基因的筛选

为筛选夜香树（Cestrum nocturnum L.）香气释放、生物钟等相关基因表达研究适用的内参基因,本研究采用夜香树盛花期叶片和花为实验材料,利用同源克隆和RACE技术,获得了夜香树6种经典的内参基因序列,分别为：Actb7、EF-1A、GAPDH、TUA、TUB2、UBQ;采用荧光定量PCR方法对18s rRNA和这6个内参基因的表达模式进行了分析,并通过Bestkeeper、geNorm、NormFinder 3种程序分析了内参基因的稳定性。结果表明,在花中,Actb7表达最稳定;在叶片中,EF-1A和UBQ的表达比较稳定;在2种组织中,EF-1A的表达相对稳定。3组稳定性分析中,geNorm程序确定的最佳内参基因数目均为2,最佳内参基因组合均为Actb7/EF-1A。本研究通过对稳定内参基因的筛选,以期为准确检测夜香树盛花期花瓣节律运动、香气释放、生物钟变化等相关基因的表达研究奠定基础。     

Rapid and inexpensive species differentiation using a multiplex real-time polymerase chain reaction high-resolution melt assay

We demonstrate a method for developing real-time polymerase chain reaction (PCR) high-resolution melt (HRM) assays to identify multiple species present in a mixture simultaneously using LCGreen Plus and melt temperatures. Highly specific PCR primers are designed to yield amplicons with different melt temperatures for simple routine species identification compared with differentiating melt curve kinetics traces or difference plots. This method is robust and automatable, and it leads to savings in time and reagent costs, is easily modified to probe any species of interest, eliminates the need for post-PCR gel or capillary electrophoresis in routine assays, and requires no expensive dye-labeled primers.     

Identification and quantitation of species in complex DNA mixtures by real-time polymerase chain reaction

Six TaqMan real-time polymerase chain reaction (PCR) systems using minor groove binding (MGB) probes have been developed for the detection quantitation of bovine, porcine, lamb, chicken, turkey, and ostrich DNA in complex samples. Species-specific amplification was achieved by combining only two fluorogenic probes and 10 oligonucleotide primers targeting mitochondrial sequences, decreasing the cost of the assay significantly. The limits of detection ranged from 0.03 to 0.80 pg of template DNA. Analysis of experimental mixtures containing two to four different species showed the suitability of the assay for detection of more than 1% of pork, chicken, or turkey and of more than 5% of cattle or lamb. The quantitation accuracy in samples containing 10-100% of beef or pork DNA was close to 90%. The system is complemented with one additional TaqMan MGB detector based on consensus sequence segments of the nuclear 18S ribosomal RNA gene. A method to evaluate the presence of unknown eukaryotic DNA in a mixture, where data derived from the species-specific detection are compared with the experimental values obtained from the general 18S detector, is presented. This method allows the validation of the quantitative measurements, providing an internal control of the total content of PCR-amplifiable DNA in the sample. The system was tested on DNA mixtures containing different shares of up to four different species and on DNA extracted from processed commercial food samples.