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

16 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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doi = "10.1038/s41597-022-01662-2",

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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

PY - 2022/12

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

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