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Validation of Common Housekeeping Genes as Reference for qPCR Gene Expression Analysis During iPS Reprogramming Process

机译:验证iPS重编程过程中常见管家基因作为qPCR基因表达分析的参考

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摘要

Induced pluripotent stem cell (iPS) reprogramming allows to turn a differentiated somatic cell into a pluripotent cell. This process is accompanied by many changes in fundamental cell properties, such as energy production, cell-to-cell interactions, cytoskeletal organization, and others. Real-time quantitative polymerase chain reaction (RT-qPCR) can be used as a quantitative method of gene expression analysis to investigate iPS reprogramming but it requires a validation of reference genes for the accurate assessment of target genes’ expression. Currently, studies evaluating the performance of reference genes during iPS reprogramming are lacking. In this study we analysed the stability of 12 housekeeping genes during 20 days of iPS reprogramming of murine cells based on statistical analyses of RT-qPCR data using five different statistical algorithms. This study reports strong variations in housekeeping gene stability during the reprogramming process. Most stable genes were Atp5f1, Pgk1 and Gapdh, while the least stable genes were Rps18, Hprt, Tbp and Actb. The results were validated by a proof-of-point qPCR experiment with pluripotent markers Nanog, Rex1 and Oct4 normalized to the best and the worst reference gene identified by the analyses. Overall, this study and its implications are particularly relevant to investigations on the cell-state and pluripotency in iPS reprogramming.
机译:诱导多能干细胞(iPS)重编程可将分化的体细胞转变为多能细胞。这个过程伴随着基本细胞特性的许多变化,例如能量产生,细胞间相互作用,细胞骨架组织等。实时定量聚合酶链反应(RT-qPCR)可用作基因表达分析的定量方法,以研究iPS重编程,但它需要验证参考基因以准确评估靶基因的表达。当前,缺乏评估iPS重编程过程中参考基因性能的研究。在这项研究中,我们基于对RT-qPCR数据的统计分析,使用五种不同的统计算法,分析了鼠细胞iPS重编程20天中12个管家基因的稳定性。这项研究报告了在重新编程过程中管家基因稳定性的巨大变化。最稳定的基因是Atp5f1,Pgk1和Gapdh,而最不稳定的基因是Rps18,Hprt,Tbp和Actb。通过多能性标记Nanog,Rex1和Oct4标准化为通过分析确定的最佳和最差参考基因的多点标记qPCR实验,验证了结果。总体而言,这项研究及其影响与iPS重编程中细胞状态和多能性的研究特别相关。

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