期刊
NATURE METHODS
卷 16, 期 4, 页码 295-+出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/s41592-019-0358-2
关键词
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资金
- KAKENHI [15K01812, 15H05897, 16H06454, 17H03621, 18H02432, 18K19155, 30190401]
- MAFF Science and Technology Research Promotion Program for Agriculture, Forestry, Fisheries and Food Industry
- JST the Strategic International Research Cooperative Program
- JST National Bioscience Database Center
- JST the Strategic International Collaborative Research Program
- Chiba University the GP Program
- Japan Advanced Plant Science Network
- Centre of BioSystems Genomics [AA3-WU-PL]
- 'Learning from Nature' program - Dutch Technology Foundation (STW) [10996]
- European Plant Phenotyping Network (EPPN) - FP7 Research Infrastructures Program of the European Union [284443]
- NUE-CROPS project - FP7-CP-IP Research Infrastructures Program of the European Union [222645]
- Grants-in-Aid for Scientific Research [18K19155, 17H03621, 16H06454, 15K01812, 18H02432] Funding Source: KAKEN
We report a computational approach (implemented in MS-DIAL 3.0; http://prime.psc.riken.jp/) for metabolite structure characterization using fully C-13-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.
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