Center for Biomedical Education and Research (ZBAF), Institute of Pharmacology and Toxicology, Faculty of Health, Witten/Herdecke University, Witten, Germany.
Department of Periodontology, School of Dentistry, Faculty of Health, Witten/Herdecke University, Witten, Germany.
Clin Exp Dent Res. 2022 Apr;8(2):473-484. doi: 10.1002/cre2.525. Epub 2022 Feb 1.
To underline the necessity of adequate reference genes for real-time quantitative polymerase chain reaction (RT-qPCR) and evaluate a novel tool for condition-specific reference gene selection.
RT-qPCR is a commonly used experimental technique that allows for highly sensitive analysis of gene transcription. Moreover, the use of internal reference genes as a means for relative quantification has rendered RT-qPCR a straightforward method for a variety of sciences, including dentistry. However, the expressional stability of internal reference genes must be evaluated for every assay in order to account for possible quantification bias.
Herein, we used the software tool RefGenes to identify putatively stable reference genes with the help of microarray datasets and evaluated them. Additionally, we propose an evidence-based workflow for adequate normalization of thusly identified genes. Human gingival fibroblasts (HGF-hTert), human acute leukemia-derived monocytes (THP-1), and telomerase immortalized gingival keratinocytes (TIGKs) were subjected to set-ups simulating various glycemic conditions and lipopolysaccharide challenges. Five common housekeeping genes (HKGs) and five genes from RefGenes were selected as targets and RT-qPCR was performed subsequently. Then, normalization algorithms Bestkeeper, Normfinder, and geNorm were used for further analysis of the putative reference gene stability.
RefGenes-derived targets exhibited the highest stability values in THP-1 and TIGK cell lines. Moreover, unacceptable standard variations were observed for some common HKG like β-actin. However, common HKG exhibited good stability values in HGF-hTert cells.
The results indicate that microarray-based preselection of putative reference genes is a valuable refinement for RT-qPCR studies. Accordingly, the present study proposes a straightforward workflow for evidence-based preselection and validation of internal reference genes.
强调实时定量聚合酶链反应(RT-qPCR)中合适参考基因的必要性,并评估一种用于特定条件下参考基因选择的新工具。
RT-qPCR 是一种常用的实验技术,可实现基因转录的高灵敏度分析。此外,内部参考基因作为相对定量的一种手段,使得 RT-qPCR 成为各种科学领域(包括牙科)的一种简单方法。然而,为了考虑可能的定量偏差,必须对每个检测评估内部参考基因的表达稳定性。
本文使用 RefGenes 软件工具借助微阵列数据集来识别推定稳定的参考基因,并对其进行了评估。此外,我们提出了一种基于证据的工作流程,用于适当归一化由此确定的基因。将人牙龈成纤维细胞(HGF-hTert)、人急性白血病衍生单核细胞(THP-1)和端粒酶永生化牙龈角质形成细胞(TIGK)置于模拟各种血糖条件和脂多糖挑战的方案中。选择 5 个常见管家基因(HKGs)和 RefGenes 中的 5 个基因作为靶基因,并随后进行 RT-qPCR。然后,使用 Bestkeeper、Normfinder 和 geNorm 归一化算法进一步分析推定参考基因的稳定性。
RefGenes 衍生的靶基因在 THP-1 和 TIGK 细胞系中表现出最高的稳定性值。此外,一些常见的 HKG,如β-肌动蛋白,观察到不可接受的标准偏差。然而,常见的 HKG 在 HGF-hTert 细胞中表现出良好的稳定性值。
结果表明,基于微阵列的推定参考基因的预选择是 RT-qPCR 研究的一种有价值的改进。因此,本研究提出了一种简单的基于证据的内部参考基因预选择和验证工作流程。