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在分子诊断中获得可靠的逆转录定量聚合酶链反应(RT-qPCR)结果——用于转录生物标志物发现的MIQE目标与陷阱

Obtaining Reliable RT-qPCR Results in Molecular Diagnostics-MIQE Goals and Pitfalls for Transcriptional Biomarker Discovery.

作者信息

Grätz Christian, Bui Maria L U, Thaqi Granit, Kirchner Benedikt, Loewe Robert P, Pfaffl Michael W

机构信息

Department of Animal Physiology and Immunology, School of Life Sciences, Technical University of Munich, Weihenstephaner Berg 3, 85354 Freising, Germany.

GeneSurge GmbH, Ottostr. 3, 80333 München, Germany.

出版信息

Life (Basel). 2022 Mar 7;12(3):386. doi: 10.3390/life12030386.

Abstract

In this review, we discuss the development pipeline for transcriptional biomarkers in molecular diagnostics and stress the importance of a reliable gene transcript quantification strategy. Hence, a further focus is put on the MIQE guidelines and how to adapt them for biomarker discovery, from signature validation up to routine diagnostic applications. First, the advantages and pitfalls of the holistic RNA sequencing for biomarker development will be described to establish a candidate biomarker signature. Sequentially, the RT-qPCR confirmation process will be discussed to validate the discovered biomarker signature. Examples for the successful application of RT-qPCR as a fast and reproducible quantification method in routinemolecular diagnostics are provided. Based on the MIQE guidelines, the importance of "key steps" in RT-qPCR is accurately described, e.g., reverse transcription, proper reference gene selection and, finally, the application of automated RT-qPCR data analysis software. In conclusion, RT-qPCR proves to be a valuable tool in the establishment of a disease-specific transcriptional biomarker signature and will have a great future in molecular diagnostics or personalized medicine.

摘要

在本综述中,我们讨论了分子诊断中转录生物标志物的开发流程,并强调了可靠的基因转录本定量策略的重要性。因此,我们将进一步关注MIQE指南以及如何将其应用于生物标志物发现,从特征验证到常规诊断应用。首先,将描述用于生物标志物开发的整体RNA测序的优点和陷阱,以建立候选生物标志物特征。接着,将讨论RT-qPCR确认过程,以验证发现的生物标志物特征。还提供了RT-qPCR作为一种快速且可重复的定量方法在常规分子诊断中成功应用的实例。基于MIQE指南,准确描述了RT-qPCR中“关键步骤”的重要性,例如逆转录、合适的参考基因选择,以及最后自动化RT-qPCR数据分析软件的应用。总之,RT-qPCR被证明是建立疾病特异性转录生物标志物特征的有价值工具,并且在分子诊断或个性化医疗中将有广阔的前景。

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