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Study Objective: The aim of this study was to test a panel of 6 reference genes in order to identify and validate the most suitable reference genes for expression studies in paired healthy and non-small cell lung cancer tissues. Method: Quantitative real-time PCR followed by the NormFinder- and geNorm-based analysis was employed. The study involved 21 non-small cell lung cancer patients. Results: The analysis of experimental data revealed HPRT1 as the most stable gene followed by RPLP0 and ESD. In contrast, GAPDH was found to be the least stable gene. HPRT1 together with ESD was revealed as the pair of genes introducing the least systematic error into data normalization. Validation by bootstrap random sampling technique and by normalizing exemplary gene expression data confirmed the results. Conclusion: Although HPRT1 and ESD may by recommended for data normalization in gene expression studies on non-small cell lung cancer, the suitability of selected reference genes must be unconditionally validated prior to each study.
Quantitative real-time polymerase chain reaction (RT-qPCR) has become an indispensable technique for accurate determination of gene expression in variety of samples. Accurate and reliable quantification, however, depends on a proper normalization strategy. Normalization with multiple uniformly expressed reference genes is becoming the standard, although the most suitable reference genes dependent on the used experimental factors as well as the tissue or cell type studied. In this study, the stability of various reference genes was investigated in porcine hepatic tissue. The study was conducted on Polish Large White, Polish Landrace, Pietrain, Pulawska and Duroc pigs slaghtered at different ages. Nine reference genes (ACTB, B2M, GAPDH, HPRT1, RPL13A, SDHA, TBP, TOP2B and YWHAZ) were investigated on 180 mRNA samples of porcine hepatic tissue. Based on geNorm and NormFinder analysis, three most stable (HPRT1, TOP2B and TBP) and three moderately (GAPDH, ACTB and SDHA) stable reference genes were identified. The study provides a new panel of reference genes for normalization of the expression of a gene of interest in porcine liver tissue. It is concluded that the use of a single gene for normalization may lead to relatively large errors, so it is important to use multiple control genes based on a survey of potential reference genes applied to gene expression profiling studies of candidate genes for economic traits in pigs.
The expression profile was evaluated of MYF5 and MYF6 genes in skeletal muscles of young growing Polish Large White (PLW), Polish Landrace (PL), Pietrain (PIE), Duroc (DUR) and Pulawska (PUL) gilts at different ages. Normalization of MYF5 and MYF6 was performed on reliable porcine reference genes (PRGs), where expression stabilities of nine of them (ACTB, B2M, GAPDH, SDHA, HPRTI, RPL13A, YWHAZ, TBP, TOP2B) were evaluated by RT-qPCR method and NormFinder software. Results revealed HPRTI, TBP and TOP2B as highly stable and PRGs. The age-dependent and breed-specific skeletal muscle expression comparisons revealed highly significant (P<0.01) differences in MYF6 expression levels of all skeletal muscles among investigated breeds. MYF6 gene expression in PIE and DUR were higher compared to PLW, PL and PUL gilts. Contrarily, paired-wise comparison of MYF5 gene expression showed only significant difference between DUR and PUL for semimembranosus, and PL and PLW, DUR and PL, PIE and PL, DUR and PUL and PIE and PUL for gluteus medius muscle. There was no significant relationship identified between gilt ages and the level of expression of MYF5 and MYF6 genes. However, their highest expression was identified in longissimus dorsi followed by gluteus medius and semimembranosus muscles. It is concluded that normalization of gene expression has to be done on more than one PRG to reduce the errors in transcription level estimates. Moreover, significantly different breed-specific expression of porcine MYF5 and MYF6 allowed the authors to prioritize these genes as potential candidate genes for trait-associated study.
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