Department of Clinical Biochemistry, Faculty of Pharmacy, University of Ljubljana, 1000 Ljubljana, Slovenia.
Clinical Institute of Clinical Chemistry and Biochemistry, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia.
Int J Mol Sci. 2022 Apr 12;23(8):4257. doi: 10.3390/ijms23084257.
RT-qPCR is the gold standard and the most commonly used method for measuring gene expression. Selection of appropriate reference gene(s) for normalization is a crucial part of RT-qPCR experimental design, which allows accurate quantification and reliability of the results. Because there is no universal reference gene and even commonly used housekeeping genes' expression can vary under certain conditions, careful selection of an appropriate internal control must be performed for each cell type or tissue and experimental design. The aim of this study was to identify the most stable reference genes during osteogenic differentiation of the human osteosarcoma cell lines MG-63, HOS, and SaOS-2 using the geNorm, NormFinder, and BestKeeper statistical algorithms. Our results show that , , , and are the most stably expressed genes, while , and expressions are most variable. These data provide a basis for future RT-qPCR normalizations when studying gene expression during osteogenic differentiation, for example, in studies of osteoporosis and other bone diseases.
实时荧光定量聚合酶链反应(RT-qPCR)是测量基因表达的金标准和最常用的方法。选择合适的内参基因(s)进行标准化是 RT-qPCR 实验设计的关键部分,这可以确保结果的准确定量和可靠性。由于没有通用的内参基因,甚至常用的管家基因在某些条件下的表达也会发生变化,因此必须针对每种细胞类型或组织以及实验设计仔细选择合适的内部对照。本研究旨在使用 geNorm、NormFinder 和 BestKeeper 统计算法鉴定人骨肉瘤细胞系 MG-63、HOS 和 SaOS-2 成骨分化过程中最稳定的参考基因。我们的结果表明, 、 、 和 是表达最稳定的基因,而 、 和 的表达则最不稳定。这些数据为未来研究成骨分化过程中的基因表达时进行 RT-qPCR 归一化提供了基础,例如在骨质疏松症和其他骨骼疾病的研究中。