Department of Biotechnology and Life Science , Tokyo University of Agriculture and Technology , Tokyo 184-8588 , Japan.
Anal Chem. 2018 Jul 17;90(14):8531-8537. doi: 10.1021/acs.analchem.8b01586. Epub 2018 Jun 28.
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.
虽然 DNA 计算传统上是为分子分析中的并行计算而开发的，但这种方法最近已被考虑用于生物系统中的诊断或医学应用。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，这可能对癌症的早期诊断有应用价值。我们开发了一种使用纳米孔测量的快速、无标记的输出诊断分子解码方法。我们设计了能够自动识别两种 microRNA（miR-20a 和 miR-17-5p）的诊断 DNA，并形成了一种四叉结结构，该结构被纳米孔捕获，显示出长阻断电流。我们基于中心极限定理分析了阻断持续时间，发现可以区分四种不同的操作，即 (0,0)、(0,1)、(1,0) 和 (1,1)。这种模式识别方法与基于 DNA 计算和纳米孔技术的简单检测方法不同。
