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Background  

Chondroprotective agents (CPA) such as glucosamine, curcumin and diacerein represent potential remedies for the management of osteoarthritis and several studies have been performed on their effects in-vitro and in-vivo. For the investigation of chondroprotective action on chondrocyte gene expression, quantitative real-time RT-PCR is the method of choice. However, validation of applied normalization strategies represents a crucial and sometimes neglected step in the analysis process. Therefore, the present study aimed to determine the expression stability of common reference genes (ACTB, Beta actin; GAPDH, Glyceraldehyde-3-phosphate; B2M, Beta-2-microglobulin; HPRT1, Hypoxanthine phosphoribosyl-transferase I; SDHA, Succinate dehydrogenase complex, subunit A; YWHAZ, Tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptide) under the influence of glucosamine, curcumin and diacerein in the IL-1β-stimulated C-28/I2 chondrocyte model, using the geNorm software tool.  相似文献   

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This study was aimed to test a panel of six housekeeping genes (GAPDH, HPRT1, POLR2A, RPLP0, ACTB, and H3F) so as to identify and validate the most suitable reference genes for expression studies in astrocytomas. GAPDH was the most stable and HPRT1 was the least stable reference gene. The effect of reference gene selection on quantitative real-time polymerase chain reaction data interpretation was demonstrated, normalizing the expression data of a selected gene of interest. Thus, GAPDH may be recommended for data normalization in gene expression studies in astrocytomas. Nevertheless, a preliminary validation of reference gene stability is required prior to every study.  相似文献   

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The validation of housekeeping genes (HKGs) for normalization of RNA expression in Real-Time PCR is crucial to obtain the most reliable results. There is limited information on reference genes used in the study of gene expression in milk somatic cells and the frozen whole blood of goats. Thus, the aim of this study was to propose the most stable housekeeping genes that can be used as a reference in Real-Time PCR analysis of milk somatic cells and whole blood of goats infected with caprine arthritis encephalitis virus (CAEV). Animals were divided into two groups: non-infected (N = 13) and infected with CAEV (N = 13). Biological material (milk somatic cells and whole blood) was collected 4 times during the lactation period (7, 30, 100 and 240 days post-partum). The expression levels of candidate reference genes were analyzed using geNorm and NormFinder software. The stability of candidates for reference gene expression was analyzed for CAEV-free (control) and CAEV-infected groups, and also for both groups together (combined group). The stability of expression of β-actin (ACTB), glyceraldehyde-3P-dehydrogenase (GAPDH), cyclophilin A (PPIA), RNA18S1, ubiquilin (UBQLN1) and ribosomal protein large subunit P0 (RPLP0) was determined in milk somatic cells, while ACTB, PPIA, RPLP0, succinate dehydrogenase complex subunit A (SDHA), zeta polypeptide (YWHAZ), battenin (CLN3), eukaryotic translation initiation factor 3K (EIF3K) and TATA box-binding protein (TBP) were measured in frozen whole blood of goats. PPIA and RPLP0 were considered as the most suitable internal controls as they were stably expressed in milk somatic cells regardless of disease status, according to NormFinder software. Furthermore, geNorm results indicated the expression of PPIA/RPLP0 genes as the best combination under these experimental conditions. The results of frozen whole blood analysis using NormFinder software revealed that the most stable reference gene in control, CAEV-infected and combined groups is YWHAZ, and – according to the geNorm results – the combined expression of PPM/YWHAZ genes is the best reference in the presented experiment. The usefulness in gene expression analysis of whole blood samples frozen immediately in liquid nitrogen and stored at -80 °C was also proved.  相似文献   

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Oxidative stress-induced dysfunction in trabecular meshwork (TM) cells is considered a major alteration that can lead to glaucoma. Hydrogen peroxide (H2O2) is the most widely used agent for inducing oxidation in TM cells in vitro. Quantitative real-time PCR (qPCR) is an important method for studying alterations in gene expression, and suitable (i.e. invariant) reference genes must be defined to normalize expression levels. In this study, eight common reference genes, i.e. PRS18, ACTB, B2M, GAPDH, PPIA, HPRT1, YWHAZ, and TBP, were evaluated for use in studies of H2O2-induced dysfunction in TM cells. Three established algorithms, geNorm, NormFinder, and BestKeeper, were used to analyze the reference genes. ACTB expression was least affected by H2O2 treatment in TM cells, and the combination of PPIA and HPRT1 was the most suitable gene pair for normalization. GAPDH and TBP were the most unstable genes and accordingly should be avoided in experiments with TM cells. These results provide a foundation for analyses of the mechanisms underlying glaucoma, and emphasize the importance of selecting suitable reference genes for qPCR studies.  相似文献   

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《Reproductive biology》2014,14(4):302-306
The aim of the study was to find the most stable reference genes from: ACTB, GAPDH, RPL30, CYC, RPL17, RPS7 and YWHAZ in the feline endometrium. Three free software packages, geNorm, NormFinder and BestKeeper were used. In geNorm analysis, the most stable gene was RPS7 (at a primer concentration 1000 nM) or YWHAZ (500 and 250 nM). According to NormFinder and BestKeeper, ACTB (at all examined primer concentrations) followed by RPS7 and CYC were the most stable genes. Based on geNorm results at least two genes from among RPS7, RPL30, ACTB or YWHAZ should be chosen for Real Time-PCR result normalization.  相似文献   

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The identification of suitable reference genes is critical for obtaining reliable results from gene expression studies using quantitative real-time PCR (qPCR) because the expression of reference genes may vary considerably under different experimental conditions. In most cases, however, commonly used reference genes are employed in data normalization without proper validation, which may lead to incorrect data interpretation. Here, we aim to select a set of optimal reference genes for the accurate normalization of gene expression associated with intramuscular fat (IMF) deposition during development. In the present study, eight reference genes (PPIB, HMBS, RPLP0, B2M, YWHAZ, 18S, GAPDH and ACTB) were evaluated by three different algorithms (geNorm, NormFinder and BestKeeper) in two types of muscle tissues (longissimus dorsi muscle and biceps femoris muscle) across different developmental stages. All three algorithms gave similar results. PPIB and HMBS were identified as the most stable reference genes, while the commonly used reference genes 18S and GAPDH were the most variably expressed, with expression varying dramatically across different developmental stages. Furthermore, to reveal the crucial role of appropriate reference genes in obtaining a reliable result, analysis of PPARG expression was performed by normalization to the most and the least stable reference genes. The relative expression levels of PPARG normalized to the most stable reference genes greatly differed from those normalized to the least stable one. Therefore, evaluation of reference genes must be performed for a given experimental condition before the reference genes are used. PPIB and HMBS are the optimal reference genes for analysis of gene expression associated with IMF deposition in skeletal muscle during development.  相似文献   

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The common marmoset (Callithrix jacchus) is considered a novel experimental animal model of non-human primates. However, due to antibody unavailability, immunological and pathological studies have not been adequately conducted in various disease models of common marmoset. Quantitative real-time PCR (qPCR) is a powerful tool to examine gene expression levels. Recent reports have shown that selection of internal reference housekeeping genes are required for accurate normalization of gene expression. To develop a reliable qPCR method in common marmoset, we used geNorm applets to evaluate the expression stability of eight candidate reference genes (GAPDH, ACTB, rRNA, B2M, UBC, HPRT, SDHA and TBP) in various tissues from laboratory common marmosets. geNorm analysis showed that GAPDH, ACTB, SDHA and TBP were generally ranked high in stability followed by UBC. In contrast, HPRT, rRNA and B2M exhibited lower expression stability than other genes in most tissues analyzed. Furthermore, by using the improved qPCR with selected reference genes, we analyzed the expression levels of CD antigens (CD3ε, CD4, CD8α and CD20) and cytokines (IL-1β, IL-2, IL-4, IL-5, IL-6, IL-10, IL-12β, IL-13, IFN-γ and TNF-α) in peripheral blood leukocytes and compared them between common marmosets and humans. The expression levels of CD4 and IL-4 were lower in common marmosets than in humans whereas those of IL-10, IL-12β and IFN-γ were higher in the common marmoset. The ratio of Th1-related gene expression level to that of Th2-related genes was inverted in common marmosets. We confirmed the inverted ratio of CD4 to CD8 in common marmosets by flow cytometric analysis. Therefore, the difference in Th1/Th2 balance between common marmosets and humans may affect host defense and/or disease susceptibility, which should be carefully considered when using common marmoset as an experimental model for biomedical research.  相似文献   

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Thirteen reference genes were investigated to determine their stability to be used as a housekeeping in gene expression studies in skeletal muscle of chickens. Five different algorithms were used for ranking of reference genes and results suggested that individual rankings of the genes differed among them. The stability of the expression of reference genes were validated using samples obtained from the Pectoralis major muscle in chicken. Samples were obtained from chickens in different development periods post hatch and under different nutritional diets. For gene expression calculation the ΔΔCt approach was applied to compare relative expression of pairs of genes within each of 52 samples when normalized to mitochondrially encoded cytochrome c oxidase II (MT-CO2) target gene. Our findings showed that hydroxymethylbilane synthase (HMBS) and hypoxanthine phosphoribosyl transferase 1 (HPRT1) are the most stable reference genes while transferrin receptor (TFRC) and beta-2-microglobulin (B2M) ranked as the least stable genes in the Pectoralis major muscle of chickens. Moreover, our results revealed that HMBS and HPRT1 gene expression did not change due to dietary variations and thus it is recommended for accurate normalization of RT-qPCR data in chicken Pectoralis major muscle.  相似文献   

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The choice of reference genes that are stably expressed amongst treatment groups is a crucial step in real-time quantitative PCR gene expression studies. Recent guidelines have specified that a minimum of two validated reference genes should be used for normalisation. However, a quantitative review of the literature showed that the average number of reference genes used across all studies was 1.2. Thus, the vast majority of studies continue to use a single gene, with β-actin (ACTB) and/or glyceraldehyde 3-phosphate dehydrogenase (GAPDH) being commonly selected in studies of vertebrate gene expression. Few studies (15%) tested a panel of potential reference genes for stability of expression before using them to normalise data. Amongst studies specifically testing reference gene stability, few found ACTB or GAPDH to be optimal, whereby these genes were significantly less likely to be chosen when larger panels of potential reference genes were screened. Fewer reference genes were tested for stability in non-model organisms, presumably owing to a dearth of available primers in less well characterised species. Furthermore, the experimental conditions under which real-time quantitative PCR analyses were conducted had a large influence on the choice of reference genes, whereby different studies of rat brain tissue showed different reference genes to be the most stable. These results highlight the importance of validating the choice of normalising reference genes before conducting gene expression studies.  相似文献   

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