ArticleOncology letters2017
Selection of reference genes for gene expression studies in human bladder cancer using SYBR-Green quantitative polymerase chain reaction.
Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 19 citations in OpenAlex.
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- Selection and validation of reference genes for RT-qPCR in ophiocordyceps sinensis under different experimental conditions.PloS one · 2024Article
- mRNA expression of CRF family members in urothelial bladder cancer.Oncology letters · 2024Article
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- Improved Bladder Tumor RNA Isolation from Archived Tissues Using Methylene Blue for Normalization, Multiplex RNA Hybridization, Sequencing and Subtyping.International journal of molecular sciences · 2022Article
- RPS13, a potential universal reference gene for normalisation of gene expression in multiple human normal and cancer tissue samples.Molecular biology reports · 2021Article
- Genome-Wide Identification of Reference Genes for Reverse-Transcription Quantitative PCR in Goat Rumen.Animals : an open access journal from MDPI · 2021Article
- Current Development and Application of Anaerobic Glycolytic Enzymes in Urothelial Cancer.International journal of molecular sciences · 2021Review
- Optimization of internal reference genes for qPCR in human pancreatic cancer research.Translational cancer research · 2020Article
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- Dynamics study on the role of curcumin on TGF-β1 expression and pathological changes in acute paraquat poisoned rats.Experimental and therapeutic medicine · 2018Article
- Specific and reliable detection of Myosin 1C isoform A by RTqPCR in prostate cancer cells.PeerJ · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is a rapid, reliable and widely used method of studying gene expression profiles that requires appropriate normalization for accurate and reliable results. Reference genes are usually used to normalize mRNA levels; however, the expression levels of these reference genes may vary between cell types, developmental stages, species and experimental conditions. Therefore, a normalization strategy is an important precondition for reliable conclusions, with endogenous controls requiring determination for every experimental system. In the present study, 18 reference genes used in various prior studies were analyzed to determine their applicability in bladder cancer. A total of 35 matched malignant and non-malignant bladder cancer (specifically transitional cell carcinoma) tissue specimens were examined. RNA and cDNA quality was stringently controlled. Candidate reference genes were assessed using SYBR-Green RT-qPCR. mRNA abundance was compared and reference genes with distinct ranges of expression to possible target genes were excluded. Genes that were differentially expressed in matched non-cancerous and cancerous samples were also excluded, using quantification cycle analysis. Subsequently, the stability of the selected reference genes was analyzed using three different methods: geNorm, NormFinder and BestKeeper. The rarely used ribosomal protein S23 (RPS23) was the most stable single reference gene, with RPS23, tumor protein, translationally controlled 1 and RPS13 comprising the optimal reference gene set for all the bladder samples. These stable reference genes should be employed in normalization and quantification of transcript levels in future expression studies of bladder cancer-associated genes.
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