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验证看家基因作为 iPS 重编程过程中 qPCR 基因表达分析的参考。

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

机构信息

RIKEN Center for Biosystems Dynamics Research (BDR), 6-2-3 Furuedai, Suita, Osaka, 565-0874, Japan.

Graduate School of Frontier Biosciences, Osaka University, 1-3 Yamadaoka, Suita, Osaka, 565-0871, Japan.

出版信息

Sci Rep. 2018 Jun 7;8(1):8716. doi: 10.1038/s41598-018-26707-8.

Abstract

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.

摘要

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。这一过程伴随着许多基本细胞特性的变化,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)可作为一种定量基因表达分析方法,用于研究 iPS 重编程,但它需要对参考基因进行验证,以准确评估靶基因的表达。目前,评估参考基因在 iPS 重编程过程中性能的研究还很缺乏。在这项研究中,我们基于 RT-qPCR 数据的五种不同统计算法的统计分析,分析了在 20 天的小鼠细胞 iPS 重编程过程中 12 个管家基因的稳定性。本研究报告了在重编程过程中管家基因稳定性的强烈变化。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。通过对多能标志物 Nanog、Rex1 和 Oct4 进行 qPCR 验证实验,并将其归一化到通过分析确定的最佳和最差参考基因,验证了这些结果。总的来说,这项研究及其意义对于研究 iPS 重编程中的细胞状态和多能性具有特别重要的意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c22/5992140/1c444eb2a427/41598_2018_26707_Fig1_HTML.jpg

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