University of Westminster, School of Life Sciences, 115 New Cavendish Street, London W1W 6UW, United Kingdom.
University of Edinburgh, Centre for Discovery Brain Science, Hugh Robson Building, 15 George Square, Edinburgh EH8 9XD, United Kingdom.
Gene. 2021 Oct 30;801:145855. doi: 10.1016/j.gene.2021.145855. Epub 2021 Jul 20.
Selecting stably expressed reference genes which are not affected by physiological or pathophysiological conditions is crucial for reliable quantification in gene expression studies. This study examined the expression stability of a panel of twelve reference genes in tissues from the female mouse reproductive axis and the uterus. Gene expression studies were carried out using reverse transcriptase quantitative polymerase chain reaction (RT-qPCR). cDNA was synthesised from RNA extracted from hypothalami, pituitaries, ovaries and uteri of female mice at ages representing weaning, puberty and adulthood as well as pregnancy (13 ± 1 days post-coitus) (n = a minimum of 3 at each age and at pregnancy). The reference genes examined included 18 s, Actb, Atp5b, B2m, Canx, Cyc1, Eif4a2, Gapdh, Rpl13a, Sdha, Ubc and Ywhaz. The RT-qPCR raw data were imported into the qBASE+ software to analyse the expression stability using GeNorm. These data were also subsequently analysed using other software packages (Delta CT, Normfinder, BestKeeper). A comprehensive ranking was conducted considering all stability rankings generated from the different software analyses. B2m and Eif4a2 deviated from the acceptable range for amplification efficiency and therefore were excluded from the further analyses. The stability of the reference genes is influenced by the software used for the analysis with BestKeeper providing markedly different results than the other analyses. GeNorm analysis of tissues taken at different ages but not including pregnant animals, indicated that the expression of the reference genes is tissue specific with the most stable genes being: in the hypothalamus, Canx and Actb; in the pituitary, Sdha and Cyc1; in the ovary, 18s, Sdha and Ubc; and in the uterus, Ywhaz, Cyc1, Atp5b, 18s and Rpl13a. The optimal number of reference genes to be used was determined to be 2 in the first three tissues while in the uterus, the V-score generated by the GeNorm analysis was higher than 0.15 suggesting that 3 or more genes should be used for normalisation. Inclusion of tissues from pregnant mice changed the reference genes identified as being the most stable: Ubc and Sdha were the most stable genes in the hypothalamus, pituitary and the ovary. The addition of pregnant tissue had no effect on the stability of the genes in uterus (Ywhaz, Cyc1, Atp5b, 18s and Rpl13a). Identification of these stable reference genes will be of use to those interested in studying female fertility and researchers should be alert to the effects of pregnancy on reference gene stability. This study also signifies the importance of re-examining reference gene stability if the experimental conditions are changed, as shown with the introduction of pregnancy as a new factor in this research.
选择不受生理或病理条件影响的稳定表达的参考基因对于可靠的基因表达研究至关重要。本研究检测了雌性小鼠生殖轴和子宫组织中一组 12 个参考基因的表达稳定性。使用逆转录定量聚合酶链反应 (RT-qPCR) 进行基因表达研究。从断奶、青春期和成年以及妊娠(交配后 13±1 天)的雌性小鼠的下丘脑、垂体、卵巢和子宫中提取 RNA 合成 cDNA(n=每个年龄和妊娠时至少 3 个)。检测的参考基因包括 18s、Actb、Atp5b、B2m、Canx、Cyc1、Eif4a2、Gapdh、Rpl13a、Sdha、Ubc 和 Ywhaz。RT-qPCR 原始数据被导入 qBASE+软件中,使用 GeNorm 分析表达稳定性。这些数据随后也使用其他软件包(Delta CT、Normfinder、BestKeeper)进行了分析。综合考虑不同软件分析生成的所有稳定性排名,进行了全面排名。B2m 和 Eif4a2 的扩增效率超出可接受范围,因此被排除在进一步分析之外。参考基因的稳定性受用于分析的软件的影响,BestKeeper 提供的结果与其他分析明显不同。对不同年龄但不包括妊娠动物的组织进行 GeNorm 分析表明,参考基因的表达具有组织特异性,最稳定的基因是:在下丘脑,Canx 和 Actb;在垂体,Sdha 和 Cyc1;在卵巢,18s、Sdha 和 Ubc;在子宫,Ywhaz、Cyc1、Atp5b、18s 和 Rpl13a。确定最佳的参考基因数量为 2 个在前三个组织中,而在子宫中,GeNorm 分析生成的 V 分数高于 0.15,表明应使用 3 个或更多基因进行归一化。纳入妊娠小鼠的组织改变了被确定为最稳定的参考基因:Ubc 和 Sdha 是下丘脑、垂体和卵巢中最稳定的基因。在子宫中,添加妊娠组织对基因的稳定性没有影响(Ywhaz、Cyc1、Atp5b、18s 和 Rpl13a)。鉴定这些稳定的参考基因将对研究女性生育能力的研究人员有用,研究人员应该警惕妊娠对参考基因稳定性的影响。本研究还表明,如果实验条件发生变化,如在本研究中引入妊娠作为一个新因素,需要重新检查参考基因的稳定性。