基于DNA微阵列的中药筛选与表征

Microarrays Pub Date : 2017-01-30 DOI:10.3390/microarrays6010004

R. Kiyama

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引用次数: 19

摘要

由于最近组学技术的创新，DNA微阵列分析（DMA）的应用进入了一个新的时代。本文综述了基于DMA的基因表达谱在中药筛选和表征方面的最新应用。首先，通过检查草药、蘑菇和膳食植物的综合清单和代表性有效化学物质清单，总结和讨论DMA分析的草药、蘑菇、膳食植物及其有效成分和生物/生理作用。其次，通过检测负责作用的基因和途径、参与作用的细胞功能以及DMA（沉默雌激素）发现的活性，总结了中药的作用机制。第三，通过考察已报道的中药DMA在质量控制中的应用实例和新的协议，讨论了DMA在中药中的应用。正如在其他密切相关的领域，如治疗、环境、营养和药理学领域所观察到的那样，预计在基于信号通路的中药有益效果评估和潜在风险评估方面会有进一步的创新。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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DNA Microarray-Based Screening and Characterization of Traditional Chinese Medicine

The application of DNA microarray assay (DMA) has entered a new era owing to recent innovations in omics technologies. This review summarizes recent applications of DMA-based gene expression profiling by focusing on the screening and characterization of traditional Chinese medicine. First, herbs, mushrooms, and dietary plants analyzed by DMA along with their effective components and their biological/physiological effects are summarized and discussed by examining their comprehensive list and a list of representative effective chemicals. Second, the mechanisms of action of traditional Chinese medicine are summarized by examining the genes and pathways responsible for the action, the cell functions involved in the action, and the activities found by DMA (silent estrogens). Third, applications of DMA for traditional Chinese medicine are discussed by examining reported examples and new protocols for its use in quality control. Further innovations in the signaling pathway-based evaluation of beneficial effects and the assessment of potential risks of traditional Chinese medicine are expected, just as are observed in other closely related fields, such as the therapeutic, environmental, nutritional, and pharmacological fields.

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来源期刊

Microarrays

自引率

0.00%

发文量

审稿时长

11 weeks

期刊介绍： High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.