ArticleMolecular biology reports2013
Reference gene for primary culture of prostate cancer cells.
Article in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Conventionally used reference genes are not outstanding for normalization of gene expression in human cancer research.BMC bioinformatics · 2019Article
- Identification of valid reference genes for mRNA and microRNA normalisation in prostate cancer cell lines.Scientific reports · 2018Article
- Specific and reliable detection of Myosin 1C isoform A by RTqPCR in prostate cancer cells.PeerJ · 2018Article
- Automated identification of reference genes based on RNA-seq data.Biomedical engineering online · 2017Article
- Effect ofExperimental and therapeutic medicine · 2016Article
- Identification of Novel Reference Genes Suitable for qRT-PCR Normalization with Respect to the Zebrafish Developmental Stage.PloS one · 2016Article
- Consensus reference gene(s) for gene expression studies in human cancers: end of the tunnel visible?Cellular oncology (Dordrecht, Netherlands) · 2015Review
- Decreased Expression of GPER1 Gene and Protein in Goiter.International journal of endocrinology · 2015Article
- Validation of reference genes for normalization gene expression in reverse transcription quantitative PCR in human normal thyroid and goiter tissue.BioMed research international · 2014Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Selection of reference genes to normalize mRNA levels between samples is critical for gene expression studies because their expression can vary depending on the tissues or cells used and the experimental conditions. We performed ten cell cultures from samples of prostate cancer. Cells were divided into three groups: control (with no transfection protocol), cells transfected with siRNA specific to knockdown the androgen receptor and cells transfected with inespecific siRNAs. After 24 h, mRNA was extracted and gene expression was analyzed by Real-time qPCR. Nine candidates to reference genes for gene expression studies in this model were analyzed (aminolevulinate, delta-, synthase 1 (ALAS1); beta-actin (ACTB); beta-2-microglobulin (B2M); glyceraldehyde-3-phosphate dehydrogenase (GAPDH); hypoxanthine phosphoribosyltransferase 1 (HPRT1); succinate dehydrogenase complex, subunit A, flavoprotein (Fp) (SDHA); TATA box binding protein (TBP); ubiquitin C (UBC); tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptide (YWHAZ)). Expression stability was calculated NormFinder algorithm to find the most stable genes. NormFinder calculated SDHA as the most stable gene and the gene with the lowest intergroup and intragroup variation, and indicated GAPDH and SDHA as the best combination of two genes for the purpose of normalization. Androgen receptor mRNA expression was evaluated after normalization by each candidate gene and showed statistical difference in the transfected group compared to control group only when normalized by combination of GAPDH and SDHA. Based on the algorithm analysis, the combination of SDHA and GAPDH should be used to normalize target genes mRNA levels in primary culture of prostate cancer cells submitted to transfection with siRNAs.
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