Optimal Combination Of Reference Genes Research Articles

Selection and Validation of Reference Genes for Gene Expression in Bactericera gobica Loginova under Different Insecticide Stresses.

Insecticide resistance has long been a problem in crop pest control. Bactericera gobica is a major pest on the well-known medicinal plants Lycium barbarum L. Investigating insecticide resistance mechanisms of B. gobica will help to identify pesticide reduction strategies to control the pest. Gene expression normalization by RT-qPCR requires the selection and validation of appropriate reference genes (RGs). Here, 15 candidate RGs were selected from transcriptome data of B. gobica. Their expression stability was evaluated with five algorithms (Delta Ct, GeNorm, Normfinder, BestKeeper and RefFinder) for sample types differing in response to five insecticide stresses and in four other experimental conditions. Our results indicated that the RGs RPL10 + RPS15 for Imidacloprid and Abamectin; RPL10 + AK for Thiamethoxam; RPL32 + RPL10 for λ-cyhalothrin; RPL10 + RPL8 for Matrine; and EF2 + RPL32 under different insecticide stresses were the most suitable RGs for RT-qPCR normalization. EF1α + RPL8, EF1α + β-actin, β-actin + EF2 and β-actin + RPS15 were the optimal combination of RGs under odor stimulation, temperature, developmental stages and both sexes, respectively. Overall, EF2 and RPL8 were the two most stable RGs in all conditions, while α-TUB and RPL32 were the least stable RGs. The corresponding suitable RGs and one unstable RG were used to normalize a target cytochrome P450 CYP6a1 gene between adult and nymph stages and under imidacloprid stress. The results of CYP6a1 expression were consistent with transcriptome data. This study is the first research on the most stable RG selection in B. gobica nymphs exposed to different insecticides, which will contribute to further research on insecticide resistance mechanisms in B. gobica.

Screening and validation of optimal miRNA reference genes in different developing stages and tissues of Lilium henryi Baker

Dynamic miRNA detection using the qRT-PCR technique requires appropriate reference genes to ensure data reliability. Previous studies have screened internal reference genes in plants during embryonic development and various stress treatment, involving relatively few tissues and organs. There is no relevant miRNA study in Lilium henryi Baker and limited research on the optimal miRNA reference genes in lilies, such as 5S, 18S, U6 and Actin. Twelve genes were selected as candidate reference genes whose expression stability was analyzed in petals at different developmental stages and other tissues using various algorithms, such as geNorm, NormFinder, BestKeeper, and Delta CT. The results revealed that the optimal combination of reference genes for Lilium henryi Baker petals at different developmental stages was osa-miR166m and osa-miR166a-3p, while that for different tissues of Lilium henryi Baker was osa-miR166g-3p and osa-miR166a-3p.Four important genes related to growth and development regulation, namely, osa-miR156a, osa-miR395b, osa-miR396a-3p, and osa-miR396a-5p, were selected for validation. The findings of the present study could contribute to future investigations onmiRNA expression and the related functions in Lilium henryi Baker while providing important references for the normalization of the miRNA expression in other varieties of lily.

Selection and Validation of Reference Genes for qRT-PCR Analysis of Gene Expression in Tropaeolum majus (Nasturtium)

Tropaeolum majus (nasturtium) is an important ornamental and medicinal plant due to its colorful flowers, shield-shaped leaves, and richness in mineral elements and bioactive compounds. However, the key genes related to these important biological traits, as well as their expression patterns and functions, remain obscure. In this study, to choose appropriate reference genes for quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) analysis, we screened 14 candidate genes from the transcriptome of T. majus and evaluated their expression stability. Through evaluation with four commonly used algorithms (geNorm, NormFinder, BestKeeper, and RefFinder), EXP1, EXP2, and TUB6 were found to be the most stably expressed genes among different organs, while EXP1 combined with CYP2 was identified as the optimal reference gene combination for seeds at different development stages. For all the tested samples, EXP1, EXP2, CYP2, and ACT2 were the most suitable reference genes. Moreover, the target gene KCS11 involved in very-long-chain fatty acid biosynthesis was employed to confirm the most and least stable reference genes in different organs, seeds at different development stages, and all the tested samples. The expression profiles of KCS11 were similar, with minor differences based on the analysis of different stable reference genes (either alone or in combination), while the expression profiles were diverse and the relative expression level was overestimated when using the least stable ones. These results suggest that the appropriate selection of reference genes is critical for the normalization of gene expression. Furthermore, the reference genes screened in this study will greatly improve the accuracy of the qRT-PCR quantification of candidate genes involved in the many biological characteristics of nasturtium.

Identification and Validation of Reference Genes for Expression Analysis Using qRT-PCR in Cimex hemipterus (Hemiptera: Cimicidae).

The tropical bed bug, Cimex hemipterus (F.) (Hemiptera: Cimicidae) is an important public-health pest that feeds on the blood of humans and some other animals. To explore the function of the target genes of C. hemipterus, it is essential to select suitable reference genes for the accurate quantification of gene expression. Here, we selected 10 frequently used reference genes in insects and evaluated their stability in C. hemipterus under various biotic (developmental stage, sex, and tissue) and abiotic (gas stimulation and temperature) conditions through RefFinder (which integrates four computational programs: geNorm, NormFinder, BestKeeper, and ∆Ct). Results indicate that the optimal combination of reference genes for each experimental condition was as follows: RPL8 and EF1α for the developmental stage (eggs, early instar nymphs, late instar nymphs, and adults), RPL8 and RPS16 for adult sex, RPL8 and RPL11 for adult tissue (head, thorax, abdomen, and legs), RPL8 and β-tubulin for gas stimulation (air and carbon dioxide), and RPL8 and NADH for temperature (0, 5, 17, 30, and 37 °C). Finally, the expression pattern of the HSP70 and GR21 genes were analyzed, and the results highlight the importance of appropriate reference-gene selection. Our results provide a comprehensive list of optimal reference genes from C. hemipterus for the first time, which will contribute to accurately analyzing the expression of target genes.

Reference gene selection for transcriptional profiling by RT-qPCR in the 28-spotted larger potato ladybird

• The stabilities of nine house-keeping genes are studied under four conditions. • RPL6 and RPL13 are for different developmental stages. • RPS18 and EF1α are for different tissues. • RPS18 and RPL13 are for four different experimental conditions. • Our findings establish an accurate normalization of qRT-PCR data. Henosepilachna vigintioctomaculata is one of the most serious defoliates attacking potatoes. However, studies on functional genes have greatly been limited due to the insufficiency of effective and stable endogenous references to normalize RT-qPCR data. In this report, nine housekeeping genes ( RPL4 , RPL6 , RPL13 , RPL32 , RPS18 , ACT , EF1α , GAPDH and α-TUB ) involved in different biological processes were selected. Their expression levels under diverse experimental conditions including developmental stages, tissues, temperatures and host plants were determined using RT-qPCR technology. The tested candidate genes were comprehensively ranked based on five alternative stability analysis methods (Ct value, geNorm, NormFinder, BestKeeper and ReFinder). The results revealed that the optimal internal reference genes varied under different experimental conditions. Any gene pair among the five candidates ( RPL4, RPL13, RPL32, RPS18 and EF1α ) was a suitable reference gene set under different temperatures and on different host plants. A combination of RPL6 and RPL13 was recommended as the best reference gene set across different developmental stages. A pair of RPS18 and EF1α was ranked as the optimal reference gene combination within different tissues. The most suitable reference genes were RPS18 and RPL13 under four different experimental conditions. Our findings not only establish an accurate and reliable normalization of RT-qPCR data, but also lay a solid foundation for further functional gene researches in H. vigintioctomaculata .

Identification of Suitable Reference Genes for qRT-PCR Normalization in Kiwifruit

Reference genes are used for the correction of qRT-PCR data, and it is necessary to investigate the optimum reference gene under certain conditions. The expression levels of seven traditional reference genes ACT1, ACT2, GAPDH, 18S rRNA, UBQ, TUB and CYP were analyzed using qRT-PCR in different varieties, tissues, developmental stages and hormone (or pollen polysaccharide) treatments in kiwifruit. Gene expression stability was assessed with the help of three common software (geNorm, NormFinder, BestKeeper), and the minimum number of reference genes necessary for normalization was also determined. GAPDH, ACT1 and ACT2 were selected as reference genes for different genotypes of kiwifruit. GAPDH and UBQ were the best combinations of reference genes for root, stem, leaf, flower and fruit. GAPDH and ACT1 could be the preferred reference genes for normalization of qRT-PCR data during fruit development. The pairing of ACT1 and UBQ constituted the optimal combination of reference genes in kiwifruit treated with different hormones (or pollen polysaccharide). This study provides a new and reliable option for the use of reference genes in the analysis of gene expression patterns of interest in kiwifruit.

Selection and Evaluation of Reference Genes for qRT-PCR in Spodoptera frugiperda (Lepidoptera: Noctuidae).

Simple SummaryThe fall armyworm Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) is an extremely important omnivorous agricultural pest, it poses a severe threat to food security and agricultural production. Quantitative real-time PCR (qRT-PCR) is an important molecular technology widely used for expression profile analyses of various target genes. It is essential to use reference genes as the benchmark to eliminate various errors and normalize the qRT-PCR analysis. In our study, 10 reference genes were evaluated under six experimental conditions, including developmental stages, tissues, mating status, hormones, diets, and temperatures. Finally, the expression profile of the target gene SfrOBP1 in various tissues of S. frugiperda was evaluated to verify the accuracy of the results. This study will provide a preliminary evaluation of reference genes of S. frugiperda, which can be beneficial to the further research of functional gene expression.As an accurate and convenient technique, the qRT-PCR is always used in the quantitative expression analysis of functional genes. Normalization of the data relies on stable reference genes. The fall armyworm Spodoptera frugiperda (J. E. Smith) is an important invasive and migratory pest that seriously threatens corn production around the world. In this paper, we selected 10 candidate reference genes (18S, AK, RPL10, RPS24, 28S, SOD, ATP, GAPDH, ACT, and a-TUB) and determined their expression levels under different conditions (different developmental stages, various tissues, mating status, hormones, diets, and temperatures). Subsequently, the stability of reference genes was evaluated by four algorithms (Delta Ct method, geNorm, NormFinder, BestKeeper). The optimal combination of reference genes for each treatment was obtained by geNorm. Finally, the comprehensive ranks were determined by the online tool RefFinder. Results showed that the most stable reference genes were SOD, RPL10, and RPS24 for developmental stages, α-TUB, RPL10, and ATP for different tissues, AK, RPL10, and 18S for mating status, 18S and AK under hormone treatment, 18S, RPL10, and SOD under diet treatment, RPL10, 18S, and RPS24 under temperature treatment. This study confirmed recent data on a few reference genes and provided an evaluation of a number of additional reference genes of S. frugiperda under various conditions.

Reverse transcription priming methods affect normalisation choices for gene expression levels in oocytes and early embryos.

Mammalian oocytes and embryos rely exclusively on maternal mRNAs to accomplish early developmental processes. Since oocytes and early embryos are transcriptionally silent after meiotic resumption, most of the synthesised maternal mRNA does not undergo immediate translation but is instead stored in the oocyte. Quantitative RT-PCR is commonly used to quantify mRNA levels, and correct quantification relies on reverse transcription and the choice of reference genes. Different methods for reverse transcription may affect gene expression determination in oocytes. In this study, we examined the suitability of either random or oligo(dT) primers for reverse transcription to be used for quantitative RT-PCR. We further looked for changes in poly(A) length of the maternal mRNAs during oocyte maturation. Our data indicate that depending on the method of reverse transcription, the optimal combination of reference genes for normalisation differed. Surprisingly, we observed a shortening of the poly(A) tail lengths of maternal mRNA as oocytes progressed from germinal vesicle to metaphase II. Overall, our findings suggest dynamic maternal regulation of mRNA structure and gene expression during oocyte maturation and early embryo development.

Selection and verification of the combination of reference genes for RT-qPCR analysis in rat adrenal gland development

Quantitative reverse transcription polymerase chain reaction (RT-qPCR) is commonly used for gene expression analysis, and the accuracy of its results depends greatly on chosen reference genes. Adrenal gland is the core of the occurrence and development of fetal-originated adult diseases. Its dysplasia or dysfunction may increase susceptibility to adult disease, which has apparent sex differences. To explore the optimal combination of reference genes for RT-qPCR in female and male rats adrenal development, we selected seven reference genes (GAPDH, β-actin, etc.), and use RT-qPCR to detect genes expression during different stages of rats adrenal development under physiological conditions. Then we analysed data using GeNorm, NormFinder and BestKeeper to select the optimal combination of reference genes. Further, we used the intrauterine growth retardation (IUGR) model of rat caused by prenatal caffeine exposure (PCE) to verify the stability and accuracy of the selected combination of reference genes under physiological conditions. The results showed that TBP + β-actin could be the optimal combination of reference genes for fetal rat adrenals under physiological conditions, without obvious sex differences. In infancy and adolescence, the optimal combination of reference genes for adrenals had sex differences, and females were GAPDH + β-actin, while males were GAPDH + SDHA. In PCE model, the optimal combination of reference genes was consistent with physiological conditions. Using combination of reference genes to analyze target genes can improve the accuracy of the results. In summary, this study provided reliable combination of reference genes for RT-qPCR and experimental supports for researches on adrenal development.

Genome-wide identification of internal reference genes for normalization of gene expression values during endosperm development in wheat.

Internal reference genes that are stably expressed are essential for normalization in comparative expression analyses. However, gene expression varies significantly among species, organisms, tissues, developmental stages, stresses, and treatments. Therefore, identification of stably expressed reference genes in developmental endosperm of bread wheat is important for expression analysis of endosperm genes. As the first study to systematically screen for reference genes across different developmental stages of wheat endosperm, nine genes were selected from among 76 relatively stable genes based on high-throughput RNA sequencing data. The expression stability of these candidate genes and five traditional reference genes was assessed by real-time quantitative PCR combined with three independent algorithms: geNorm, NormFinder, and BestKeeper. The results showed that ATG8d was the most stable gene during wheat endosperm development, followed by Ta54227, while the housekeeping gene GAPDH, commonly used as an internal reference, was the least stable. ATG8d and Ta54227 together formed the optimal combination of reference genes. Comparative expression analysis of glutenin genes indicated that credible quantification could be achieved by normalization against ATG8d in developmental endosperm. The stably expressed gene characterized here can act as a proper internal reference for expression analysis of wheat endosperm genes, especially nutrient- and nutrient synthesis-related genes.

UDP and NTF2 are the most consistently expressed genes in Panax ginseng roots at different growth stages.

Reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR) analysis relies on normalization against a consistently expressed reference gene. However, it has been reported that reference gene expression levels often vary markedly between samples as they are usually selected based solely on convention. The advent of RNA sequencing technology offers the opportunity to select reference genes with the least variability in steady‑state transcript levels. To identify the most consistently stable genes, which are a prerequisite for obtaining reliable gene expression data, the present study analyzed transcriptomes from six Panax ginseng transcriptome data sets, representing six growth stages, and selected 21 candidate reference genes for screening using RT‑qPCR. Of the 21 candidate genes, 13 had not been reported previously. The geNorm, NormFinder and BestKeeper programs were used to analyze the stability of the 21 candidate reference genes. The results showed that UDP‑N‑acetylgalactosamine transporter and nuclear transport factor 2 were likely to be the optimal combination of reference genes for use in investigations of ginseng. The novel reference genes were validated by correlating the gene expression profiles of four pathogenesis‑related protein genes generated from RT‑qPCR, with their expression levels calculated from the RNA sequencing data. The expression levels were well correlated, which demonstrated their value in performing RT‑qPCR analyses in ginseng.

Expression of T helper cell-associated inflammatory mediator mRNAs in cells of bronchoalveolar lavage fluid samples and oxygen concentration in arterial blood samples from healthy horses exposed to hyperbaric oxygen.

OBJECTIVE To evaluate the mRNA expression of T helper (Th)1, Th2, and Th17 cell-associated inflammatory mediators in cells of bronchoalveolar lavage fluid samples collected from healthy horses exposed to hyperbaric oxygen (HBO) and to monitor blood oxygen concentration during and following HBO therapy. ANIMALS 8 healthy horses. PROCEDURES In a randomized controlled crossover design study, each horse was exposed (beginning day 1) to 100% oxygen at a maximum of 3 atmospheres absolute (304 kPa) daily for 10 days or ambient air at atmospheric pressure in the HBO chamber for an equivalent amount of time (control). Bronchoalveolar lavage fluid samples were collected on days 0 and 10. After validation of candidate reference genes, relative mRNA expressions of various innate inflammatory, Th1 cell-derived, Th2 cell-derived (including eotaxin-2), Th17 cell-derived, and regulatory cytokines were measured by quantitative PCR assays. For 3 horses, arterial blood samples were collected for blood gas analysis during a separate HBO session. RESULTS The optimal combination of reference genes was glyceraldehyde-3-phosphate dehydrogenase, hypoxanthine ribosyltransferase, and ribosomal protein L32. Compared with day 0 findings, expression of eotaxin-2 mRNA was significantly lower (0.12-fold reduction) and the percentage of neutrophils in bronchoalveolar lavage fluid samples was significantly lower on day 10 when horses received HBO therapy. Values of Pao2 rapidly increased (> 800 mm Hg) but immediately decreased to pretreatment values when HBO sessions ended. CONCLUSIONS AND CLINICAL RELEVANCE Results indicated that HBO therapy does not increase mRNA expression of inflammatory cytokines, but reduces eotaxin-2 mRNA transcription. The Pao2 increase was transient with no cumulative effects of HBO.

Identification and Validation of Reference Genes for the Normalization of Gene Expression Data in qRT-PCR Analysis inAphis gossypii(Hemiptera: Aphididae)

To obtain accurate and reliable results from quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) analysis, it is necessary to select suitable reference genes as standards for normalizing target gene expression data. QRT-PCR is a popular analytical methodology for studying gene expression and it has been used widely in studies of Aphis gossypii Glover in recent years. However, there is absence of study on the stability of the expression of reference genes in A. gossypii. In this study, eight commonly used candidate reference genes, including 18S, 28S, β-ACT, GAPDH, EF1α, RPL7, α-TUB, and TBP, were evaluated under various experimental conditions to assess their suitability for use in the normalization of qRT-PCR data. The optimal number of reference genes was determined using the geNorm program, and the suitability of particular reference genes was empirically validated by performing normalizations of expression data for the HSP70 gene. The results showed the most suitable combinations of reference genes for the different experimental conditions. For experiments based on divergent developmental stages, EF1α, β-ACT, and RPL7 are the optimal reference gene combination, both EF1α and β-ACT are the optimal combination used in the experiments of different geographical populations, whereas for experiments of the temperature changes, the combination of GAPDH and RPL7 is optimal, both 18S and β-ACT are an optimal combination for feeding assay experiments. These research results should be useful for the selection of the suitable reference genes to obtain reliable qRT-PCR data in the gene expression study of A. gossypii.

Reference gene selection for quantitative gene expression studies during biological invasions: A test on multiple genes and tissues in a model ascidian Ciona savignyi

As invasive species have successfully colonized a wide range of dramatically different local environments, they offer a good opportunity to study interactions between species and rapidly changing environments. Gene expression represents one of the primary and crucial mechanisms for rapid adaptation to local environments. Here, we aim to select reference genes for quantitative gene expression analysis based on quantitative Real-Time PCR (qRT-PCR) for a model invasive ascidian, Ciona savignyi. We analyzed the stability of ten candidate reference genes in three tissues (siphon, pharynx and intestine) under two key environmental stresses (temperature and salinity) in the marine realm based on three programs (geNorm, NormFinder and delta Ct method). Our results demonstrated only minor difference for stability rankings among the three methods. The use of different single reference gene might influence the data interpretation, while multiple reference genes could minimize possible errors. Therefore, reference gene combinations were recommended for different tissues - the optimal reference gene combination for siphon was RPS15 and RPL17 under temperature stress, and RPL17, UBQ and TubA under salinity treatment; for pharynx, TubB, TubA and RPL17 were the most stable genes under temperature stress, while TubB, TubA and UBQ were the best under salinity stress; for intestine, UBQ, RPS15 and RPL17 were the most reliable reference genes under both treatments. Our results suggest that the necessity of selection and test of reference genes for different tissues under varying environmental stresses. The results obtained here are expected to reveal mechanisms of gene expression-mediated invasion success using C. savignyi as a model species.

Identification of Suitable Reference Genes for Investigating Gene Expression in Anterior Cruciate Ligament Injury by Using Reverse Transcription-Quantitative PCR.

The anterior cruciate ligament (ACL) is one of the most frequently injured structures during high-impact sporting activities. Gene expression analysis may be a useful tool for understanding ACL tears and healing failure. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) has emerged as an effective method for such studies. However, this technique requires the use of suitable reference genes for data normalization. Here, we evaluated the suitability of six reference genes (18S, ACTB, B2M, GAPDH, HPRT1, and TBP) by using ACL samples of 39 individuals with ACL tears (20 with isolated ACL tears and 19 with ACL tear and combined meniscal injury) and of 13 controls. The stability of the candidate reference genes was determined by using the NormFinder, geNorm, BestKeeper DataAssist, and RefFinder software packages and the comparative ΔCt method. ACTB was the best single reference gene and ACTB+TBP was the best gene pair. The GenEx software showed that the accumulated standard deviation is reduced when a larger number of reference genes is used for gene expression normalization. However, the use of a single reference gene may not be suitable. To identify the optimal combination of reference genes, we evaluated the expression of FN1 and PLOD1. We observed that at least 3 reference genes should be used. ACTB+HPRT1+18S is the best trio for the analyses involving isolated ACL tears and controls. Conversely, ACTB+TBP+18S is the best trio for the analyses involving (1) injured ACL tears and controls, and (2) ACL tears of patients with meniscal tears and controls. Therefore, if the gene expression study aims to compare non-injured ACL, isolated ACL tears and ACL tears from patients with meniscal tear as three independent groups ACTB+TBP+18S+HPRT1 should be used. In conclusion, 3 or more genes should be used as reference genes for analysis of ACL samples of individuals with and without ACL tears.

Identification of suitable reference genes for gene expression studies in tendons from patients with rotator cuff tear.

Rotator cuff tear is one of the most common causes of shoulder dysfunction. Gene expression analysis may be a useful tool for understanding tendon tears and the failure of cuff healing, and reverse-transcription quantitative polymerase chain reaction (RT-qPCR) has become an effective method for such studies. However, this technique requires the use of suitable reference genes for data normalization. Here, we evaluate the suitability of six reference genes (18S, ACTB, B2M, GAPDH, HPRT1 and TBP) using samples from the rotator cuff tendons of 28 individuals with tendon tears (3 tendons regions) and 8 controls (2 tendon regions); for the tear patients, we evaluated ruptured and non-ruptured tendon samples. The stability of the candidate reference genes was determined using the NormFinder, geNorm, BestKeeper and DataAssist software packages. Overall, HPRT1 was the best single reference gene, and HPRT1+TBP composed the best pair and HPRT1+TBP+ACTB composed the best trio of reference genes from the analysis of different groups, including the simultaneous analysis of all tissue samples. To identify the optimal combination of reference genes, we evaluated the expression of COL1A1 and COL3A1, and no obvious differences were observed when using 2, 3 or 4 reference genes for most of the analyses. However, COL3A1 expression differed between ruptured and non-ruptured (posterior superior region) tendons of patients only when normalized by HPRT1+TBP+B2M and HPRT1+TBP. On the other hand, the comparison between these two groups using the best trio of reference genes (HPRT1+TBP+ACTB) and 4 reference genes did not revealed a significant difference in COL3A1 expression. Consequently, the use of suitable reference genes for a reliable gene expression evaluation by RT-qPCR should consider the type of tendon samples investigated. HPRT1+TBP+ACTB seems to be the best combination of reference genes for the analysis of involving different tendon samples of individuals with rotator cuff tears.

79 microRNA EXPRESSION IN BOVINE CUMULUS CELLS

A mammalian oocyte within an ovarian follicle is surrounded by cumulus cells, together this structure is known as the cumulus-oocyte complex (COC). Cumulus cells are important for the development of the oocyte, they support the maturation process of the oocyte within the ovary and aid in sperm recognition. Because it is known that a Dicer knockout leads to infertility, microRNAs (miRNA) are focused to have an important role in oocyte development. MiRNAs are small noncoding RNA sequences that act as transcriptional regulators. Little is known about the expression of miRNA in cumulus cells or how cumulus-derived miRNA may regulate or be used to indicate the developmental competence of the maturing oocyte. Our aim was to investigate miRNA expression in oocytes and to identify and establish how specific miRNA influence the acquisition of developmental competence by bovine oocytes. Normalization of qPCR data requires stable reference genes. To this end, we tested the expression of various miRNA with respect to their ability to be used as reference miRNA for bovine cumulus cells; these included miR-103, miR-93, miR-26, let-7a, miR-191, and the small noncoding nuclear RNA U6. Cumulus-oocyte complexes were recovered from the ovaries of slaughtered cows and matured in vitro. Small samples of cumulus cells were collected from these COC before and after maturation. From the cumulus cell groups recovered at different stages, small RNA were extracted and cDNA was synthesised, followed by qRT-PCR. To identify the optimal combination of reference genes, the geNorm algorithm was used. MiR-26a and let-7a were identified as the most stably expressed miRNAs, whereas U6 showed the most variable expression levels. Future investigations are planned to identify miRNA in cumulus cells that can be used as markers for oocyte developmental competence. Using a single oocyte-embryo culture system will enable us to retrospectively relate cumulus miRNA expression to the developmental capacity of the oocyte.This work was supported by EU FP7 EpiHealthNet (N°317146).

Selection of reference genes for normalization of quantitative polymerase chain reaction data in mouse models of heart failure.

The accurate measurement of mRNA expression levels is crucially dependent on the use of relevant reference genes for the normalization of data. Currently, heart failure is a serious and widespread disease, and multiple mouse models are utilized for the study of this complex disease. Although mouse models are commonly used to study cardiovascular disease, various studies have not employed the appropriate selection strategies. The present study investigated the expression stability of eight candidate reference genes (GAPDH, ACTB, B2M, CycA, TBP, PBGD, HTRP 1 and 18S) in two mouse models of heart failure, including the transverse aortic arch constriction (TAC) model and the myocardial infarction (MI) model, using GeNorm software. The expression of BNP was normalized using different reference gene strategies, and it was demonstrated that its induction following heart failure was most profound with the optimal reference gene combination. The most stable genes were identified as follows: TBP and CycA in the MI model, and PBGD and GAPDH in the TAC model. The present study provides important information for reference gene selection in mouse models of heart failure, and will aid further investigations of the transcriptome in cardiovascular research.

Identification of reference genes for gene expression studies during seed germination and seedling establishment in Ricinus communis L.

AbstractReverse transcription-quantitative polymerase chain reaction (RT-qPCR) is an important technology to analyse gene expression levels during plant development or in response to different treatments. An important requirement to measure gene expression levels accurately is a properly validated set of reference genes. In this context, we analysed the potential use of 17 candidate reference genes across a diverse set of samples, including several tissues, different stages and environmental conditions, encompassing seed germination and seedling growth in Ricinus communis L. These genes were tested by RT-qPCR and ranked according to the stability of their expression using two different approaches: GeNorm and NormFinder. GeNorm and Normfinder indicated that ACT, POB and PP2AA1 comprise the optimal combination for normalization of gene expression data in inter-tissue (heterogeneous sample panel) studies. We also describe the optimal combination of reference genes for a subset of root, endosperm and cotyledon samples. In general, the most stable genes suggested by GeNorm are very consistent with those indicated by NormFinder, which highlights the strength of the selection of reference genes in our study. We also validated the selected reference genes by normalizing the expression levels of three target genes involved in energy metabolism with the reference genes suggested by GeNorm and NormFinder. The approach used in this study to identify stably expressed genes, and thus potential reference genes, was applied successfully for R. communis and it provides important guidelines for RT-qPCR studies in seeds and seedlings for other species (especially in those cases where extensive microarray data are not available).

Identification of suitable reference genes for gene expression studies of shoulder instability.

Shoulder instability is a common shoulder injury, and patients present with plastic deformation of the glenohumeral capsule. Gene expression analysis may be a useful tool for increasing the general understanding of capsule deformation, and reverse-transcription quantitative polymerase chain reaction (RT-qPCR) has become an effective method for such studies. Although RT-qPCR is highly sensitive and specific, it requires the use of suitable reference genes for data normalization to guarantee meaningful and reproducible results. In the present study, we evaluated the suitability of a set of reference genes using samples from the glenohumeral capsules of individuals with and without shoulder instability. We analyzed the expression of six commonly used reference genes (ACTB, B2M, GAPDH, HPRT1, TBP and TFRC) in the antero-inferior, antero-superior and posterior portions of the glenohumeral capsules of cases and controls. The stability of the candidate reference gene expression was determined using four software packages: NormFinder, geNorm, BestKeeper and DataAssist. Overall, HPRT1 was the best single reference gene, and HPRT1 and B2M composed the best pair of reference genes from different analysis groups, including simultaneous analysis of all tissue samples. GenEx software was used to identify the optimal number of reference genes to be used for normalization and demonstrated that the accumulated standard deviation resulting from the use of 2 reference genes was similar to that resulting from the use of 3 or more reference genes. To identify the optimal combination of reference genes, we evaluated the expression of COL1A1. Although the use of different reference gene combinations yielded variable normalized quantities, the relative quantities within sample groups were similar and confirmed that no obvious differences were observed when using 2, 3 or 4 reference genes. Consequently, the use of 2 stable reference genes for normalization, especially HPRT1 and B2M, is a reliable method for evaluating gene expression by RT-qPCR.