DNA Logic Operation with Nanopore Decoding To Recognize MicroRNA Patterns in Small Cell Lung Cancer
DNA Logic Operation with Nanopore Decoding To Recognize MicroRNA Patterns in Small Cell Lung Cancer
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DOI：
10.1021/acs.analchem.8b01586
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发表时间：
2018-07-17
影响因子：
7.4
通讯作者：
Kawano, Ryuji
中科院分区：
文献类型：
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作者：
Hiratani, Moe;Kawano, Ryuji
尽管 DNA 计算传统上是为分子分析中的并行计算而开发的，但这种方法最近被考虑用于生命系统的诊断或医疗应用。在这项研究中，我们提出DNA逻辑运算可能是识别microRNA模式的有力工具，这可能应用于癌症的早期诊断。我们开发了一种使用纳米孔测量输出诊断分子的快速、无标记解码方法。我们设计了能够自主识别两种 microRNA（miR-20a 和 miR-17-5p）的诊断 DNA，并形成捕获在纳米孔中的四路连接结构，显示出长阻断电流。我们根据中心极限定理分析了阻塞持续时间，发现可以区分四种不同的操作，即(0, 0)、(0, 1)、(1, 0)和(1, 1)。这种模式识别方法不同于基于DNA计算和纳米孔技术的简单检测方法。
Although DNA computation has traditionally been developed for parallel calculations in molecular analyses, this approach has recently been considered for use in diagnostic or medical applications in living systems. In this study, we propose that the DNA logic operation may be a powerful tool for the recognition of microRNA patterns, which may have applications for the early diagnosis of cancers. We developed a rapid, label-free decoding method for output diagnostic molecules using nanopore measurements. We designed diagnostic DNAs that autonomously recognized two microRNAs, miR-20a and miR-17-5p, and formed a four-way junction structure that was captured in the nanopore, showing long blocking currents. We analyzed the blocking duration based on the central limit theorem and found that four different operations, i.e., (0, 0), (0, 1), (1, 0), and (1, 1), could be discriminated. This pattern recognition method has been differentiated from simple detection methods based on DNA computing and nanopore technologies.