Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
J Immunol Methods. 2012 Oct 31;384(1-2):196-9. doi: 10.1016/j.jim.2012.07.020. Epub 2012 Aug 4.
Normalization to a reference gene is the method of choice for quantitative PCR analysis. The stability of reference genes is critical for accurate gene expression analysis, as significant variations in reference gene expression can alter experimental results and conclusions. In this study, we evaluated the expression stability of five commonly used reference genes found in mouse lymphocytes. Using NormFinder and BestKeeper algorithms, we consistently show that ubiquitin C (Ubc) is the optimal reference gene for normalizing qPCR data obtained from mouse lymphocytes, whereas beta-actin (Actb) is not a suitable reference gene due to its extensive variability in expression. Our findings emphasize the importance of validating reference genes for qPCR analyses. We provide a shortlist of reference genes to use for normalization and recommend freely available software programs as a rapid approach to validate potential reference genes.
标准化到参照基因是定量 PCR 分析的首选方法。参照基因的稳定性对于准确的基因表达分析至关重要,因为参照基因表达的显著变化会改变实验结果和结论。在这项研究中,我们评估了在小鼠淋巴细胞中发现的五个常用参照基因的表达稳定性。使用 NormFinder 和 BestKeeper 算法,我们一致表明泛素 C(Ubc)是归一化从小鼠淋巴细胞中获得的 qPCR 数据的最佳参照基因,而β-肌动蛋白(Actb)由于其表达广泛变化,不是合适的参照基因。我们的研究结果强调了验证 qPCR 分析中参照基因的重要性。我们提供了一个用于归一化的参照基因短名单,并推荐免费的软件程序作为验证潜在参照基因的快速方法。