药学学报, 2014, 49(12): 1650-1657
引用本文:
王晓玥, 宋经元, 谢彩香, 韩建萍, 陈士林. RNA-Seq与道地药材研究[J]. 药学学报, 2014, 49(12): 1650-1657.
WANG Xiao-yue, SONG Jing-yuan, XIE Cai-xiang, HAN Jian-ping, CHEN Shi-lin. RNA-Seq and genuine traditional Chinese medicine[J]. Acta Pharmaceutica Sinica, 2014, 49(12): 1650-1657.

RNA-Seq与道地药材研究
王晓玥1, 宋经元1, 谢彩香1, 韩建萍1, 陈士林2
1. 中国医学科学院、北京协和医学院药用植物研究所, 北京 100193;
2. 中国中医科学院中药研究所, 北京 100700
摘要:
RNA-Seq是一种新崛起的转录组学研究方法, 利用新一代测序技术能够更为准确、快速地为人们提供更多的生物体转录信息, 已广泛应用于多种生物领域.道地药材以质优、疗效好的优势历来被各医家所推崇, 其道地性形成的根本是其基因型在特定时空表达的产物.因此通过转录组测序来解析其生物合成机制, 已成为当前药用植物次生代谢研究的热点.本文主要介绍了RNA-Seq技术及其优势, 并就其在道地药材形成机制研究方面的应用进行了讨论, 为今后该技术的研究与应用提供参考.
关键词:    RNA-Seq      道地药材      次生代谢     
RNA-Seq and genuine traditional Chinese medicine
WANG Xiao-yue1, SONG Jing-yuan1, XIE Cai-xiang1, HAN Jian-ping1, CHEN Shi-lin2
1. Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China;
2. Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
Abstract:
RNA-Sequencing (RNA-Seq) is a newly-developed method in transcriptome research, it can afford more accurate transcription information and be more quickly by using Next-generation Sequencing (NGS) technology. RNA-Seq has been widely used in various biological fields. Genuine traditional Chinese medicines (TCM), with good quality and therapeutic effect, were always praised highly and used by famous physicians. The geo-herbalism formation of TCM is based on the product of the gene expression at specific space and time. So it has been a research hotspot to analyze the mechanism of biosynthesis through RNA-Seq in the study on the secondary metabolism of medicinal plant. This article mainly illustrates the RNA-Seq and its advantages, it also discusses the potential application in genuine TCM, and it can provide useful information for other researchers.
Key words:    RNA-Seq    genuine traditional Chinese medicine    secondary metabolism    
收稿日期: 2014-06-26
基金项目: 国家自然科学基金资助项目(81130069,81473303).
通讯作者: 韩建萍, 陈士林
Email: slchen@implad.ac.cn;jphan@implad.ac.cn
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