Fu Yepei, Yang Jia, Fan Shanshan, Zhao Shaozhe, Du Ruikun, Shah Syed Muhammad Ali, Akram Muhammad, Rong Rong, Yang Yong
College of Pharmaceutical Science, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250355, P.R. China.
Department of Eastern Medicine, Directorate of Medical Sciences, Government College University of Faisalabad, Faisalabad, Punjab 38000, Pakistan.
Exp Ther Med. 2020 Dec;20(6):244. doi: 10.3892/etm.2020.9374. Epub 2020 Oct 22.
Kidney-yang deficiency syndrome (KYDS) infected with the influenza virus is a suitable model to imitate a population at high-risk to influenza infection with a high rate of morbidity and mortality. However, the specific molecular mechanisms underlying this disease remain unclear. A stable reference gene is essential as an internal control for molecular biology research of this condition. Reverse-transcription-quantitative PCR (RT-qPCR) is considered an extremely sensitive technique used for absolute and relative quantification of target genes transcript levels. To accurately estimate the relative expression of genes in cells from mice with KYDS in response to infection with influenza A virus subtype H1N1 (A/H1N1) virus using RT-qPCR, it is necessary to identify suitable reference genes. In the present study, analysis of 10 reference genes (Act-β, β2m, GAPDH, Gusβ, Tubα, Grcc10, Eif4h, Rnf187, Nedd8 and Ywhae) was performed across a set of 4 tissue types: Lung; heart; liver; and kidney. KYDS mice were inoculated with A/H1N1 virus or a mock control. For analysis, geNorm, BestKeeper, NormFinder, and Bio-Rad Maestro statistical programs were used for the estimation of the stability of the reference genes. The results were authenticated through extended experimental settings using a group of 10 samples, parallel to 3 additional innate immune system-associated genes of the host, TLR3, TLR7 and RIG-I, which were also analyzed using the same algorithms. From the 4 algorithms, taking into account the joint analyses of the ranking order outputs, the 2 genes Ywhae and Nedd8 were identified to be the most stable for mice with KYDS following infection with A/H1N1 virus. In contrast, the least stable genes in all 4 tissues were GAPDH and β2m. These results may affect the choice of reference genes in future studies that use RT-qPCR analysis of target genes in experimental conditions, such as mice with KYDS infected with influenza A virus.
感染流感病毒的肾阳虚证(KYDS)是一种适合模拟流感感染高危人群的模型,其发病率和死亡率较高。然而,这种疾病背后的具体分子机制仍不清楚。稳定的参考基因作为这种疾病分子生物学研究的内参至关重要。逆转录定量PCR(RT-qPCR)被认为是一种极其灵敏的技术,用于绝对和相对定量目标基因的转录水平。为了使用RT-qPCR准确估计感染甲型H1N1流感病毒(A/H1N1)的肾阳虚证小鼠细胞中基因的相对表达,有必要鉴定合适的参考基因。在本研究中,对10个参考基因(Act-β、β2m、GAPDH、Gusβ、Tubα、Grcc10、Eif4h、Rnf187、Nedd8和Ywhae)在一组4种组织类型中进行了分析:肺、心脏、肝脏和肾脏。将A/H1N1病毒或模拟对照接种到肾阳虚证小鼠体内。为了进行分析,使用geNorm、BestKeeper、NormFinder和Bio-Rad Maestro统计程序来评估参考基因的稳定性。通过使用一组10个样本的扩展实验设置对结果进行了验证,同时还分析了宿主的另外3个与先天免疫系统相关的基因TLR3、TLR7和RIG-I,这些基因也使用相同的算法进行了分析。从这4种算法中,考虑到排名顺序输出的联合分析,确定Ywhae和Nedd8这2个基因在感染A/H1N1病毒的肾阳虚证小鼠中最稳定。相比之下,所有4种组织中最不稳定的基因是GAPDH和β2m。这些结果可能会影响未来在实验条件下(如感染甲型流感病毒的肾阳虚证小鼠)使用RT-qPCR分析目标基因的研究中参考基因的选择。