RNA-Seq is not required to determine stable reference genes for qPCR normalization

Assessment of differential gene expression by qPCR is heavily influenced by the choice of reference genes. Although numerous statistical approaches have been proposed to determine the best reference genes, they can give rise to conflicting results depending on experimental conditions. Hence, recent studies propose the use of RNA-Seq to identify stable genes followed by the application of different statistical approaches to determine the best set of reference genes for qPCR data normalization. In this study, however, we demonstrate that the statistical approach to determine the best reference genes from commonly used conventional candidates is more important than the preselection of ‘stable’ candidates from RNA-Seq data. Using a qPCR data normalization workflow that we have previously established; we show that qPCR data normalization using conventional reference genes render the same results as stable reference genes selected from RNA-Seq data. We validated these observations in two distinct cross-sectional experimental conditions involving human iPSC derived microglial cells and mouse sciatic nerves. These results taken together show that given a robust statistical approach for reference gene selection, stable genes selected from RNA-Seq data do not offer any significant advantage over commonly used reference genes for normalizing qPCR assays.     

Identification of suitable reference genes for expression studies in pomegranate under different biotic and abiotic stress conditions

Pomegranate (Punica granatum L.) is an important economic fruit crop, facing many biotic and abiotic challenges during cultivation. Several research programs are in progress to understand both biotic and abiotic stress factors and mitigate these challenges using gene expression studies based on the qPCR approach. However, research publications are not available yet to select the standard reference gene for normalizing target gene expression values in pomegranate. The most suitable candidate reference gene is required to ensure precise and reliable results for qPCR analysis. Eight candidate reference genes' stability was evaluated under different stress conditions using different algorithms such as ?Ct, geNorm, BestKeeper, NormFinder, and RefFinder. The various algorithms revealed that EFA1 and 18S rRNA were common and most stable reference genes (RGs) under abiotic and wilt stress. Whereas comprehensive ranking by RefFinder showed GAPDH and CYPF were the most stable RGs under combined biotic (pooled samples of all biotic stress) and bacterial blight samples. For normalizing target gene expression under wilt, nematode, bacterial blight, and abiotic stress conditions both GAPDH and CYPFreference genes are adequate for qPCR. The above data provide comprehensive details for the selection of a candidate reference gene in various stresses in pomegranate

     

Identification of stable senescence‐associated reference genes

Cellular senescence is a state of permanent cell cycle arrest activated in response to damaging stimuli. Many hallmarks associated with senescent cells are measured by quantitative real‐time PCR (qPCR). As the selection of stable reference genes for interpretation of qPCR data is often overlooked, we performed a systematic review to understand normalization strategies entailed in experiments involving senescent cells. We found that, in violation of the Minimum Information for publication of qPCR Experiments (MIQE) guidelines, most reports used only one reference gene to normalize qPCR data, and that stability of the reference genes was either not tested or not reported. To identify new and more stable reference genes in senescent fibroblasts, we analyzed the Shapiro–Wilk normality test and the coefficient of variation per gene using in public RNAseq datasets. We then compared the new reference gene candidates with commonly used ones by using both RNAseq and qPCR data. Finally, we defined the best reference genes to be used universally or in a strain‐dependent manner. This study intends to raise awareness of the instability of classical reference genes in senescent cells and to serve as a first attempt to define guidelines for the selection of more reliable normalization methods.     

Selection of reference genes for expression studies in Cicer arietinum L.: analysis of cyp81E3 gene expression against Ascochyta rabiei

Normalisation to a reference gene is the most common method of internally controlling for error in quantitative PCR (qPCR) experiments. Studies based on qPCR in chickpea have been carried out using potential reference genes exclusively. Inappropriate normalisation may result in the acquisition of biologically irrelevant data. We have tested the expression of 12 candidate internal control genes in 36 samples representing different organs/developmental stages, genotypes and stress conditions. The most stably expressed genes were PUBQ, GAPDH, UBQ and bHLH, whereas 18S rRNA and EF-1a showed considerable regulation. The most suitable combination of reference genes for the particular experimental sets tested is provided. To illustrate the use of chickpea reference genes, we checked the expression of a putative defence gene in two different genotypes infected with Ascochyta rabiei (Pass.) Lab. The set of reference genes presented here will enable the more accurate and reliable normalisation of qPCR results for gene expression studies in this important legume crop. Our findings can be used as a starting point for reference gene selection in experimental conditions different from those tested here.     

Selection of reference genes for quantitative real-time PCR in <Emphasis Type="Italic">Casuarina equisetifolia</Emphasis> under salt stress

Real time quantitative PCR (qPCR) is widely used in gene expression analysis for its accuracy and sensitivity. Reference genes serving as endogenous controls are necessary for gene normalization. In order to select an appropriate reference gene to normalize gene expression in Casuarina equisetifolia under salt stress, 10 potential reference genes were evaluated using real time qPCR in the leaves and roots of plants grown under different NaCl concentrations and treatment durations. GeNorm, NormFinder, and BestKeeper analyses reveal that elongation factor 1-alpha (EF1α) and ubiquitin-conjugating enzyme E2 (UBC) were the most appropriate reference genes for real time qPCR under salt stress. However, β-tubulin (βTUB) and actin 7, which were widely used as reference genes in other plant species, were not always stably expressed. The combination of EF1α, UBC, uncharacterized protein 2, DNAJ homolog subfamily A member 2, and glyceraldehyde-3-phosphate dehydrogenase should be ideal reference genes for normalizing gene expression data in all samples under salt stress. It indicates the need for reference gene selection for normalizing gene expression in C. equisetifolia. In addition, the suitability of reference genes selected was confirmed by validating the expression of WRKY29-like and expansin-like B1. The results enable analysis of salt response mechanism and gene expression in C. equisetifolia.     

Selection of low-variance expressed Malus x domestica (apple) genes for use as quantitative PCR reference genes (housekeepers)

To accurately measure gene expression using PCR-based approaches, there is the need for reference genes that have low variance in expression (housekeeping genes) to normalise the data for RNA quantity and quality. For non-model species such as Malus x domestica (apples), previously, the selection of reference genes relied on using homology to reference genes in model species. In this study, a genomics approach was used to identify apple genes with low variance in expression in 217 messenger RNA (mRNA)-seq data sets covering different tissues, during fruit development, and treated with a range of different stress conditions. Ten potential reference genes were chosen for validation by quantitative PCR (qPCR) over 29 different tissue types and treatments. From the combined mRNA-seq and qPCR results, three potential reference genes are proposed that can be used as good controls for PCR based expression studies. The three genes show homology to lipid transfer proteins, phytochrome protein phosphatase and the ubiquitination pathway. With the progression of research away from non-model species, this approach provides a robust method for selecting candidate genes for use as reference genes in qPCR.     

基因表达研究中内参基因的选择与应用

管家基因是一类无组织特异性的,在物种的所有组织细胞中都表达的基因,被广泛用作内参基因来检测目标基因在不同的组织器官、一定的发育阶段或胁迫的环境条件下的表达规律变化。这些管家基因并不是在所有生理条件下都能作为理想内参基因稳定表达。在基因表达转录分析中,大多数普遍使用的内参基因已不能满足准确定量的要求。基于统计学分析软件,如geNorm、BestKeeper和NormFinder三种分析软件,可以筛选出稳定性较好的内参基因。本文综述了内参基因的选择条件、方法及应用。     

Gene expression studies of reference genes for quantitative real-time PCR: an overview in insects

Whenever gene expression is being examined, it is essential that a normalization process is carried out to eliminate non-biological variations. The use of reference genes, such as glyceraldehyde-3-phosphate dehydrogenase, actin, and ribosomal protein genes, is the usual method of choice for normalizing gene expression. Although reference genes are used to normalize target gene expression, a major problem is that the stability of these genes differs among tissues, developmental stages, species, and responses to abiotic factors. Therefore, the use and validation of multiple reference genes are required. This review discusses the reasons that why RT-qPCR has become the preferred method for validating results of gene expression profiles, the use of specific and non-specific dyes and the importance of use of primers and probes for qPCR as well as to discuss several statistical algorithms developed to help the validation of potential reference genes. The conflicts arising in the use of classical reference genes in gene normalization and their replacement with novel references are also discussed by citing the high stability and low stability of classical and novel reference genes under various biotic and abiotic experimental conditions by employing various methods applied for the reference genes amplification.     

A combined strategy of “in silico” transcriptome analysis and web search engine optimization allows an agile identification of reference genes suitable for normalization in gene expression studies

Traditionally housekeeping genes have been employed as endogenous reference (internal control) genes for normalization in gene expression studies. Since the utilization of single housekeepers cannot assure an unbiased result, new normalization methods involving multiple housekeeping genes and normalizing using their mean expression have been recently proposed. Moreover, since a gold standard gene suitable for every experimental condition does not exist, it is also necessary to validate the expression stability of every putative control gene on the specific requirements of the planned experiment. As a consequence, finding a good set of reference genes is for sure a non-trivial problem requiring quite a lot of lab-based experimental testing. In this work we identified novel candidate barley reference genes suitable for normalization in gene expression studies. An advanced web search approach aimed to collect, from publicly available web resources, the most interesting information regarding the expression profiling of candidate housekeepers on a specific experimental basis has been set up and applied, as an example, on stress conditions. A complementary lab-based analysis has been carried out to verify the expression profile of the selected genes in different tissues and during heat shock response. This combined dry/wet approach can be applied to any species and physiological condition of interest and can be considered very helpful to identify putative reference genes to be shortlisted every time a new experimental design has to be set up.     

Evaluation of reference genes for quantitative real-time PCR in the brain,pituitary, and gonads of songbirds

Quantitative real-time PCR (qPCR) is becoming a popular tool for the quantification of gene expression in the brain and endocrine tissues of songbirds. Accurate analysis of qPCR data relies on the selection of appropriate reference genes for normalization, yet few papers on songbirds contain evidence of reference gene validation. Here, we evaluated the expression of ten potential reference genes (18S, ACTB, GAPDH, HMBS, HPRT, PPIA, RPL4, RPL32, TFRC, and UBC) in brain, pituitary, ovary, and testis in two species of songbirds: zebra finch and white-throated sparrow. We used two algorithms, geNorm and NormFinder, to assess the stability of these reference genes in our samples. We found that the suitability of some of the most popular reference genes for target gene normalization in mammals, such as 18S, depended highly on tissue type. Thus, they are not the best choices for brain and gonad in these songbirds. In contrast, we identified alternative genes, such as HPRT, RPL4 and PPIA, that were highly stable in brain, pituitary, and gonad in these species. Our results suggest that the validation of reference genes in mammals does not necessarily extrapolate to other taxonomic groups. For researchers wishing to identify and evaluate suitable reference genes for qPCR in songbirds, our results should serve as a starting point and should help increase the power and utility of songbird models in behavioral neuroendocrinology.     

Evaluation of coffee reference genes for relative expression studies by quantitative real-time RT-PCR

Accuracy in quantitative real-time polymerase chain reaction (qPCR) requires the use of stable endogenous controls. Normalization with multiple reference genes is the gold standard, but their identification is a laborious task, especially in species with limited sequence information. Coffee (Coffea ssp.) is an important agricultural commodity and, due to its economic relevance, is the subject of increasing research in genetics and biotechnology, in which gene expression analysis is one of the most important fields. Notwithstanding, relatively few works have focused on the analysis of gene expression in coffee. Moreover, most of these works have used less accurate techniques such as northern blot assays instead of more accurate techniques (e.g., qPCR) that have already been extensively used in other plant species. Aiming to boost the use of qPCR in studies of gene expression in coffee, we uncovered reference genes to be used in a number of different experimental conditions. Using two distinct algorithms implemented by geNorm and Norm Finder, we evaluated a total of eight candidate reference genes (psaB, PP2A, AP47, S24, GAPDH, rpl39, UBQ10, and UBI9) in four different experimental sets (control versus drought-stressed leaves, control versus drought-stressed roots, leaves of three different coffee cultivars, and four different coffee organs). The most suitable combination of reference genes was indicated in each experimental set for use as internal control for reliable qPCR data normalization. This study also provides useful guidelines for reference gene selection for researchers working with coffee plant samples under conditions other than those tested here. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

茶树实时荧光定量PCR分析中内参基因的选择

选择合适的内参基因是提高实时荧光定量PCR分析（qRT-PCR）准确性的先决条件。该文以茶树（Camellia sinensis）芽、叶、幼根、嫩茎、花瓣、种子和愈伤组织为材料,应用实时荧光定量PCR技术,分析了18S rRNA、GAPDH、β-actin和α-tubulin4个常用内参基因在茶树不同器官组织中的表达情况。经GeNorm和NormFinder软件分析发现,当利用荧光定量PCR分析比较茶树不同器官组织中的基因表达差异时,可选择β-actin作为校正内参基因;而比较不同成熟度的叶片和愈伤组织时,可以选择GAPDH作为校正内参基因。