Applications of molecular nanotechnology for human disease using DNA-encode based gene expression analysis

尽管DNA微阵列可以同时监测数千个基因的表达，但在不同生物(即人类和病原体)中比较不同平台的微阵列结果是困难的。我们建立了一个用于人类传染病基因表达分析的应用程序，使我们能够在单一平台上同时分析宿主和病原体的基因表达。在我们的系统中，靶标特异的序列被协调成DNA密码号，即基于DNA编码的分析(DNA Coding-Based Analysis，DeAN)，它允许在单一平台上进行可重复的杂交，而不考虑生物体。湿实验被配置为机器人台式工作站我们将该方法应用于病毒感染模型，并证明了Dean系统原则上是一台基于DNA的计算机的可能性，它具有理解复杂的人类免疫调节系统对病原体的响应的应用程序。这种方法不是定量基因表达分析的应用。相反，它将为生物计算在生命系统和人类疾病中的研究带来积极影响的见解。

Despite the fact that DNA microarrays can simultaneously monitor the expression of thousands of genes, it is difficult to compare microarray results of different platforms in various organisms (i.e. humans and pathogens). We established an application for gene expression analysis of human infectious disease which enables to analyze gene expression in both host and pathogen on a single platform. In our system, the target-specific sequences were concerted into the DNA code number, i.e., DNA encoding-based analysis (DEAN) which permits reproducible hybridization, regardless of organisms, on a single platform. The wet experiments were configured as robotic benchtop workstation We applied the method in a viral infection model, and demonstrated the possibility that the DEAN system is in principle a DNA-based computer which has applications for understanding the complex human immunoregulatory system in response to pathogens. This method is not application of quantitative gene expression analysis. Instead, it will provide insights into positive impact on research of biocomputing in living system and human diseases.