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实时数字PCR为首个几个PCR扩增循环中发生的事件打开了一扇窗。

Real-time cdPCR opens a window into events occurring in the first few PCR amplification cycles.

作者信息

Duewer David L, Kline Margaret C, Romsos Erica L

机构信息

Material Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Stop 8390, Gaithersburg, MD, 20899-8390, USA.

出版信息

Anal Bioanal Chem. 2015 Dec;407(30):9061-9. doi: 10.1007/s00216-015-9073-8. Epub 2015 Oct 5.

Abstract

Polymerase chain reaction (PCR) end-point limiting dilution techniques, collectively termed "digital PCR (dPCR)", have been proposed as providing a potentially primary method for DNA quantification. We are evaluating several commercially available dPCR systems for use in certifying mass concentration in human genomic DNA reference materials. To better understand observed anomalies among results from chamber- and droplet-dPCR (cdPCR and ddPCR) systems, we have developed a graphical tool for evaluating and documenting the performance of PCR assays in real-time cdPCR systems: the ogive plot, the cumulative distribution of crossing threshold values. The ogive structure appears to embed information about early amplification events. We have successfully simulated ogives observed with different assays and reaction conditions using a four-stage amplification model parameterized by the probability of creating an intact 1) first generation "long" amplicon of indeterminate length from an original DNA target, 2) second generation defined-length amplicon from a long amplicon, and 3) defined-length amplicon from another defined-length amplicon. We are using insights from this model to optimize dPCR assay design and reaction conditions and to help validate assays proposed for use in value-assigning DNA reference materials.

摘要

聚合酶链反应(PCR)终点有限稀释技术,统称为“数字PCR(dPCR)”,已被提议作为一种潜在的DNA定量主要方法。我们正在评估几种市售的dPCR系统,用于认证人类基因组DNA参考物质中的质量浓度。为了更好地理解在芯片式和液滴式dPCR(cdPCR和ddPCR)系统结果中观察到的异常情况,我们开发了一种图形工具,用于实时评估和记录cdPCR系统中PCR检测的性能:累积分布曲线,即交叉阈值的累积分布。累积分布曲线结构似乎嵌入了有关早期扩增事件的信息。我们使用一个四阶段扩增模型成功模拟了在不同检测方法和反应条件下观察到的累积分布曲线,该模型的参数包括:1)从原始DNA靶标产生长度不确定的完整第一代“长”扩增子的概率;2)从长扩增子产生第二代确定长度扩增子的概率;3)从另一个确定长度扩增子产生确定长度扩增子的概率。我们正在利用该模型的见解来优化dPCR检测设计和反应条件,并帮助验证提议用于赋值DNA参考物质的检测方法。

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