| 高通量代谢组学在药用植物研究中的应用 |
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| 引用本文： | 郭志英,周正,谭何新,张磊,刁勇.高通量代谢组学在药用植物研究中的应用[J].药学实践杂志,2017,35(6):499-503. |
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| 作者姓名： | 郭志英 周正 谭何新 张磊 刁勇 |
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| 作者单位： | 华侨大学生物医学学院, 福建 泉州 362021;第二军医大学药学院药用植物学教研室, 上海 200433,第二军医大学药学院药用植物学教研室, 上海 200433,第二军医大学药学院药用植物学教研室, 上海 200433,第二军医大学药学院药用植物学教研室, 上海 200433,华侨大学生物医学学院, 福建 泉州 362021 |
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| 摘 要： | 高通量代谢组学近年来发展十分迅速，并在药用植物的研究中得到了广泛的应用。目前，它主要被用于通过指纹图谱对药用植物进行质量控制，比较基因改造后药用植物的代谢差异，监测不同环境对药用植物的代谢变化以及研究药用植物基因的功能。高通量代谢组学具有良好的前景，但也存在对仪器要求较高及数据整合烦琐等问题，限制其更好的推广和应用。随着科学技术的发展及仪器设备联用的普及，高通量代谢组学必将在药用植物的研究中发挥不可替代的作用。
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| 关 键 词： | 高通量代谢组学 药用植物 质量控制 数据整合 |
| 收稿时间： | 2017/7/15 0:00:00 |
| 修稿时间： | 2017/9/15 0:00:00 |
Application in medicinal plants research by high-throughput metabolomics method |
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| GUO Zhiying,ZHOU Zheng,TAN Hexin,ZHANG Lei and DIAO Yong.Application in medicinal plants research by high-throughput metabolomics method[J].The Journal of Pharmaceutical Practice,2017,35(6):499-503. |
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| Authors: | GUO Zhiying ZHOU Zheng TAN Hexin ZHANG Lei and DIAO Yong |
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| Institution: | School of Biomedical Science, Huaqiao University, Quanzhou, 362021, China;Department of Pharmaceutical Botany, School of Pharmacy, Second Military Medical University, Shanghai 200433, China,Department of Pharmaceutical Botany, School of Pharmacy, Second Military Medical University, Shanghai 200433, China,Department of Pharmaceutical Botany, School of Pharmacy, Second Military Medical University, Shanghai 200433, China,Department of Pharmaceutical Botany, School of Pharmacy, Second Military Medical University, Shanghai 200433, China and School of Biomedical Science, Huaqiao University, Quanzhou, 362021, China |
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| Abstract: | High-throughput metabolomics have developed very rapidly in recent years and been widely used in medicinal plants research. At present, high-throughput metabolomics mainly applied in the following areas, quality control of medicinal plants by fingerprints, metabolites difference comparison before and after genetic engineering, monitoring metabolites change in different environment and gene function study. High-throughput metabolomics have a great future, but still have some challenges, such as the requirements for more sophisticated equipment and complexity of data integration. With the advancement of science and technology, high-throughput metabolomics will be an irreplaceable tool for the research of medicinal plants. |
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| Keywords: | high-throughput metabolomics medicinal plants quality control data integration |
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