| Literature DB >> 30923379 |
Hiroshi Tsugawa1,2, Ryo Nakabayashi3, Tetsuya Mori3, Yutaka Yamada3, Mikiko Takahashi3, Amit Rai4, Ryosuke Sugiyama3, Hiroyuki Yamamoto5, Taiki Nakaya4, Mami Yamazaki4, Rik Kooke6, Johanna A Bac-Molenaar6, Nihal Oztolan-Erol6, Joost J B Keurentjes6, Masanori Arita3,7, Kazuki Saito8,9.
Abstract
We report a computational approach (implemented in MS-DIAL 3.0; http://prime.psc.riken.jp/) for metabolite structure characterization using fully 13C-labeled and non-labeled plants and LC-MS/MS. Our approach facilitates carbon number determination and metabolite classification for unknown molecules. Applying our method to 31 tissues from 12 plant species, we assigned 1,092 structures and 344 formulae to 3,604 carbon-determined metabolite ions, 69 of which were found to represent structures currently not listed in metabolome databases.Entities:
Mesh:
Substances:
Year: 2019 PMID: 30923379 DOI: 10.1038/s41592-019-0358-2
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547