Taylor Sean C, Mrkusich Eli M
Bio-Rad Laboratories Canada, Mississauga, Ont., Canada.
J Mol Microbiol Biotechnol. 2014;24(1):46-52. doi: 10.1159/000356189. Epub 2013 Nov 28.
In the past decade, the techniques of quantitative PCR (qPCR) and reverse transcription (RT)-qPCR have become accessible to virtually all research labs, producing valuable data for peer-reviewed publications and supporting exciting research conclusions. However, the experimental design and validation processes applied to the associated projects are the result of historical biases adopted by individual labs that have evolved and changed since the inception of the techniques and associated technologies. This has resulted in wide variability in the quality, reproducibility and interpretability of published data as a direct result of how each lab has designed their RT-qPCR experiments. The 'minimum information for the publication of quantitative real-time PCR experiments' (MIQE) was published to provide the scientific community with a consistent workflow and key considerations to perform qPCR experiments. We use specific examples to highlight the serious negative ramifications for data quality when the MIQE guidelines are not applied and include a summary of good and poor practices for RT-qPCR.
在过去十年中,定量聚合酶链反应(qPCR)和逆转录(RT)-qPCR技术几乎已为所有研究实验室所用,产生了有价值的数据用于同行评审出版物,并支持令人振奋的研究结论。然而,应用于相关项目的实验设计和验证过程是各个实验室采用的历史偏见的结果,自这些技术及相关技术诞生以来,这些偏见一直在演变和变化。这直接导致了已发表数据在质量、可重复性和可解释性方面存在很大差异,原因就在于每个实验室设计其RT-qPCR实验的方式。“定量实时PCR实验发表的最低信息要求”(MIQE)已发布,旨在为科学界提供进行qPCR实验的一致工作流程和关键注意事项。我们通过具体例子强调不应用MIQE指南时对数据质量造成的严重负面影响,并总结RT-qPCR的良好和不良做法。