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

Kyo Bin Kang; Eunah Jeong; Seungju Son; Eunjin Lee; Seungjin Lee; Seong Yeon Choi; Hyun Woo Kim; Heejung Yang; Sang Hee Shim

doi:10.1038/s41597-022-01662-2

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

Kyo Bin Kang, Eunah Jeong, Seungju Son, Eunjin Lee, Seungjin Lee, Seong Yeon Choi, Hyun Woo Kim, Heejung Yang, Sang Hee Shim

Department of Pharmacy

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

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.

Original language	English
Article number	528
Journal	Scientific data
Volume	9
Issue number	1
DOIs	https://doi.org/10.1038/s41597-022-01662-2
State	Published - Dec 2022

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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.",

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AU - Kang, Kyo Bin

AU - Jeong, Eunah

AU - Son, Seungju

AU - Lee, Eunjin

AU - Lee, Seungjin

AU - Choi, Seong Yeon

AU - Kim, Hyun Woo

AU - Yang, Heejung

AU - Shim, Sang Hee

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

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