• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

[RNA测序与正宗传统中药]

[RNA-Seq and genuine traditional Chinese medicine].

作者信息

Wang Xiao-Yue, Song Jing-Yuan, Xie Cai-Xiang, Han Jian-Ping, Chen Shi-Lin

出版信息

Yao Xue Xue Bao. 2014 Dec;49(12):1650-7.

PMID:25920193
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.

摘要

RNA测序(RNA-Seq)是转录组研究中一种新开发的方法,通过使用新一代测序(NGS)技术,它能够提供更准确的转录信息且速度更快。RNA-Seq已在各种生物学领域中广泛应用。道地中药材质量优良、疗效显著,一直备受历代名医推崇和应用。中药的道地性形成是特定时空基因表达的产物。因此,通过RNA-Seq分析药用植物次生代谢的生物合成机制一直是研究热点。本文主要阐述了RNA-Seq及其优势,还探讨了其在道地中药方面的潜在应用,可为其他研究者提供有用信息。

相似文献

1
[RNA-Seq and genuine traditional Chinese medicine].[RNA测序与正宗传统中药]
Yao Xue Xue Bao. 2014 Dec;49(12):1650-7.
2
[Application prospects of single-cell transcriptome sequencing in traditional Chinese medicine research].[单细胞转录组测序在中医药研究中的应用前景]
Zhongguo Zhong Yao Za Zhi. 2021 May;46(10):2456-2460. doi: 10.19540/j.cnki.cjcmm.20210218.601.
3
RNA-Seq for transcriptome analysis in non-model plants.用于非模式植物转录组分析的RNA测序
Methods Mol Biol. 2013;1069:43-58. doi: 10.1007/978-1-62703-613-9_4.
4
De novo characterization of the Lycium chinense Mill. leaf transcriptome and analysis of candidate genes involved in carotenoid biosynthesis.枸杞(Lycium chinense Mill.)叶片转录组的从头表征及类胡萝卜素生物合成相关候选基因分析。
Gene. 2015 Jan 25;555(2):458-63. doi: 10.1016/j.gene.2014.10.058. Epub 2014 Nov 1.
5
De Novo Deep Transcriptome Analysis of Medicinal Plants for Gene Discovery in Biosynthesis of Plant Natural Products.用于植物天然产物生物合成基因发现的药用植物从头深度转录组分析
Methods Enzymol. 2016;576:19-45. doi: 10.1016/bs.mie.2016.03.001. Epub 2016 Apr 4.
6
Large-scale analysis of small RNAs derived from traditional Chinese herbs in human tissues.中草药小分子 RNA 在人体组织中的大规模分析。
Sci China Life Sci. 2019 Mar;62(3):321-332. doi: 10.1007/s11427-018-9323-5. Epub 2018 Sep 18.
7
[Study on traceability system of genuine medicinal materials].[中药材溯源系统研究]
Zhongguo Zhong Yao Za Zhi. 2014 Oct;39(20):3881-8.
8
[Herbgenomics].[草药基因组学]
Zhongguo Zhong Yao Za Zhi. 2016 Nov;41(21):3881-3889. doi: 10.4268/cjcmm20162101.
9
Renaissance in phytomedicines: promising implications of NGS technologies.植物药的复兴:NGS技术的潜在前景
Planta. 2016 Jul;244(1):19-38. doi: 10.1007/s00425-016-2492-8. Epub 2016 Mar 22.
10
SPARTA: Simple Program for Automated reference-based bacterial RNA-seq Transcriptome Analysis.SPARTA:用于基于参考的细菌RNA测序转录组自动分析的简单程序。
BMC Bioinformatics. 2016 Feb 4;17:66. doi: 10.1186/s12859-016-0923-y.

引用本文的文献

1
Transcriptomic Analysis Reveals the Potential Mechanism of Hook.f. & Thomson in Lowering Serum Uric Acid by Reducing Inflammatory State Through CCR7 Target.转录组学分析揭示了钩藤降低血清尿酸的潜在机制:通过CCR7靶点减轻炎症状态。
Int J Mol Sci. 2024 Dec 2;25(23):12967. doi: 10.3390/ijms252312967.
2
Transcriptomic divergence of the Rheum palmatum complex derived from top-geoherb and non-geoherb areas provides the insights into geoherbalism properties of rhubarb.基于顶级道地和非道地生境的大黄复合体的转录组差异为大黄的道地药性提供了见解。
BMC Genomics. 2024 Feb 26;25(1):212. doi: 10.1186/s12864-024-10142-3.
3
Transcriptomics explores the potential of flavonoid in non-medicinal parts of (Turcz.) Schischk.
转录组学探索了(Turcz.)Schischk.非药用部位中黄酮类化合物的潜力。
Front Plant Sci. 2023 Feb 27;14:1067920. doi: 10.3389/fpls.2023.1067920. eCollection 2023.
4
Transcriptomic Analysis Exploring the Molecular Mechanisms of Hanchuan Zupa Granules in Alleviating Asthma in Rat.转录组分析探索汉喘祖帕颗粒缓解大鼠哮喘的分子机制
Evid Based Complement Alternat Med. 2021 Jul 2;2021:5584099. doi: 10.1155/2021/5584099. eCollection 2021.