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A cheminformatics approach to characterize metabolomes in stable-isotope-labeled organisms.
Tsugawa, Hiroshi; Nakabayashi, Ryo; Mori, Tetsuya; Yamada, Yutaka; Takahashi, Mikiko; Rai, Amit; Sugiyama, Ryosuke; Yamamoto, Hiroyuki; Nakaya, Taiki; Yamazaki, Mami; Kooke, Rik; Bac-Molenaar, Johanna A; Oztolan-Erol, Nihal; Keurentjes, Joost J B; Arita, Masanori; Saito, Kazuki.
Afiliação
  • Tsugawa H; RIKEN Center for Sustainable Resource Science, Yokohama, Japan. hiroshi.tsugawa@riken.jp.
  • Nakabayashi R; RIKEN Center for Integrative Medical Sciences, Yokohama, Japan. hiroshi.tsugawa@riken.jp.
  • Mori T; RIKEN Center for Sustainable Resource Science, Yokohama, Japan.
  • Yamada Y; RIKEN Center for Sustainable Resource Science, Yokohama, Japan.
  • Takahashi M; RIKEN Center for Sustainable Resource Science, Yokohama, Japan.
  • Rai A; RIKEN Center for Sustainable Resource Science, Yokohama, Japan.
  • Sugiyama R; Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan.
  • Yamamoto H; RIKEN Center for Sustainable Resource Science, Yokohama, Japan.
  • Nakaya T; Human Metabolome Technologies, Inc, Tsuruoka, Japan.
  • Yamazaki M; Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan.
  • Kooke R; Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan.
  • Bac-Molenaar JA; Laboratory of Genetics, Wageningen University & Research, Wageningen, the Netherlands.
  • Oztolan-Erol N; Laboratory of Genetics, Wageningen University & Research, Wageningen, the Netherlands.
  • Keurentjes JJB; Laboratory of Genetics, Wageningen University & Research, Wageningen, the Netherlands.
  • Arita M; Laboratory of Genetics, Wageningen University & Research, Wageningen, the Netherlands.
  • Saito K; RIKEN Center for Sustainable Resource Science, Yokohama, Japan.
Nat Methods ; 16(4): 295-298, 2019 04.
Article em En | MEDLINE | ID: mdl-30923379
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas de Plantas / Plantas / Genes de Plantas / Biologia Computacional / Metaboloma Idioma: En Revista: Nat Methods Assunto da revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Japão
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas de Plantas / Plantas / Genes de Plantas / Biologia Computacional / Metaboloma Idioma: En Revista: Nat Methods Assunto da revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Japão