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用于东亚传统医学的药用植物特色代谢组学的质谱数据分析。

Mass spectrometry data on specialized metabolome of medicinal plants used in East Asian traditional medicine.

机构信息

Research Institute of Pharmaceutical Sciences, College of Pharmacy, Sookmyung Women's University, Seoul, 04310, Korea.

Natural Products Research Institute, College of Pharmacy, Seoul National University, Seoul, 08826, Korea.

出版信息

Sci Data. 2022 Aug 27;9(1):528. doi: 10.1038/s41597-022-01662-2.

Abstract

Traditional East Asian medicine not only serves as a potential source of drug discovery, but also plays an important role in the healthcare systems of Korea, China, and Japan. Tandem mass spectrometry (MS/MS)-based untargeted metabolomics is a key methodology for high-throughput analysis of the complex chemical compositions of medicinal plants used in traditional East Asian medicine. This Data Descriptor documents the deposition to a public repository of a re-analyzable raw LC-MS/MS dataset of 337 medicinal plants listed in the Korean Pharmacopeia, in addition to a reference spectral library of 223 phytochemicals isolated from medicinal plants. Enhanced by recently developed repository-level data analysis pipelines, this information can serve as a reference dataset for MS/MS-based untargeted metabolomic analysis of plant specialized metabolites.

摘要

传统东亚医学不仅是药物发现的潜在来源,而且在中国、韩国和日本的医疗体系中也发挥着重要作用。基于串联质谱(MS/MS)的非靶向代谢组学是高通量分析传统东亚医学中所用药用植物复杂化学成分的关键方法。本数据描述文件记录了向公共存储库中提交 337 种韩国药典中列出的药用植物的可重新分析的原始 LC-MS/MS 数据集,以及 223 种从药用植物中分离出的植物化学物质的参考光谱库。通过最近开发的存储库级数据分析管道进行增强,这些信息可以作为基于 MS/MS 的植物特殊代谢物非靶向代谢组学分析的参考数据集。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb81/9420114/6e5b979a0c5a/41597_2022_1662_Fig1_HTML.jpg

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