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Identification of reliable reference genes for qRT-PCR studies of the developing mouse mammary gland

机译:鉴定型小鼠乳腺QRT-PCR研究的可靠参考基因

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Cell growth and differentiation are often driven by subtle changes in gene expression. Many challenges still exist in detecting these changes, particularly in the context of a complex, developing tissue. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) allows relatively high-throughput evaluation of multiple genes and developmental time points. Proper quantification of gene expression levels by qRT-PCR requires normalization to one or more reference genes. Traditionally, these genes have been selected based on their presumed “housekeeping” function, with the implicit assumption that they are stably expressed over the entire experimental set. However, this is rarely tested empirically. Here we describe the identification of novel reference genes for the mouse mammary gland based on their stable expression in published microarray datasets. We compared eight novel candidate reference genes (Arpc3, Clock, Ctbp1, Phf7, Prdx1, Sugp2, Taf11 and Usp7) to eight traditional ones (18S, Actb, Gapdh, Hmbs, Hprt, Rpl13a, Sdha and Tbp) and analysed all genes for stable expression in the mouse mammary gland from pre-puberty to adulthood using four different algorithms (GeNorm, DeltaCt, BestKeeper and NormFinder). Prdx1, Phf7 and Ctbp1 were validated as novel and reliable, tissue-specific reference genes that outperform traditional reference genes in qRT-PCR studies of postnatal mammary gland development.
机译:细胞生长和分化通常通过基因表达的细微变化驱动。在检测这些变化方面仍然存在许多挑战,特别是在复杂的发展组织的背景下。定量逆转录聚合酶链反应(QRT-PCR)允许对多种基因和发育时间点的相对高通量的评估。通过QRT-PCR正确定量基因表达水平需要归一化至一个或多个参考基因。传统上,这些基因已经基于其推定的“家务”功能来选择,隐含假设它们在整个实验组上稳定地表达。然而,这很少经验测试。在这里,我们描述了基于其发表的微阵列数据集中的稳定表达的小鼠乳腺新型参考基因的鉴定。我们将八个新型候选参考基因(ARPC3,CLOCK,CTBP1,PHF7,PRDX1,SUGP2,TAF11和USP7)进行了比较至八个传统(18s,ACTB,GAPDH,HMBS,HPRT,RPL13A,SDHA和TBP)并分析了所有基因使用四种不同的算法(种族,易用,BestKeeper和Normfinder),从预青春期到成年前的小鼠乳腺稳定表达。 PRDX1,PHF7和CTBP1被验证为新的且可靠的组织特异性参考基因,在后遗产乳腺开发的QRT-PCR研究中表现出传统的参考基因。

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