Vynck Matthijs, Trypsteen Wim, Thas Olivier, Vandekerckhove Linos, De Spiegelaere Ward
Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium.
HIV Translational Research Unit, Department of Internal Medicine, Ghent University, Depintelaan 185, 9000, Ghent, Belgium.
Mol Diagn Ther. 2016 Oct;20(5):437-47. doi: 10.1007/s40291-016-0224-1.
Driven by its potential benefits over currently available methods, and the recent development of commercial platforms, digital polymerase chain reaction (dPCR) has received increasing attention in virology research and diagnostics as a tool for the quantification of nucleic acids. The current technologies are more precise and accurate, but may not be much more sensitive, compared with quantitative PCR (qPCR) applications. The most promising applications with the current technology are the analysis of mutated sequences, such as emerging drug-resistant mutations. Guided by the recent literature, this review focuses on three aspects that demonstrate the potential of dPCR for virology researchers and clinicians: the applications of dPCR within both virology research and clinical virology, the benefits of the technique over the currently used real-time qPCR, and the importance and availability of specific data analysis approaches for dPCR. Comments are provided on current drawbacks and often overlooked pitfalls that need further attention to allow widespread implementation of dPCR as an accurate and precise tool within the field of virology.
受其相对于现有方法的潜在优势以及商业平台的最新发展推动,数字聚合酶链反应(dPCR)作为一种核酸定量工具,在病毒学研究和诊断中受到越来越多的关注。与定量PCR(qPCR)应用相比,当前技术更精确、准确,但可能不会更灵敏。当前技术最有前景的应用是对突变序列的分析,例如新出现的耐药突变。基于近期文献,本综述聚焦于三个方面,展示了dPCR对病毒学研究人员和临床医生的潜力:dPCR在病毒学研究和临床病毒学中的应用、该技术相对于目前使用的实时qPCR的优势,以及dPCR特定数据分析方法的重要性和可用性。针对当前的缺点以及常被忽视的陷阱给出了评论,这些需要进一步关注,以使dPCR作为病毒学领域准确且精确的工具得到广泛应用。