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Metabolomic Analysis of Yeast and Human Cells: Latest Advances and Challenges.
Chaleckis, Romanas; Ohashi, Kazuto; Meister, Isabel; Naz, Shama; Wheelock, Craig E.
Affiliation
  • Chaleckis R; Gunma University Initiative for Advanced Research (GIAR), Gunma University, Maebashi, Japan. romcha@gunma-u.ac.jp.
  • Ohashi K; Division of Physiological Chemistry II, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden. romcha@gunma-u.ac.jp.
  • Meister I; Institute for Molecular and Cellular Regulation, Gunma University, Maebashi, Japan.
  • Naz S; Gunma University Initiative for Advanced Research (GIAR), Gunma University, Maebashi, Japan.
  • Wheelock CE; Division of Physiological Chemistry II, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Methods Mol Biol ; 2049: 233-245, 2019.
Article in En | MEDLINE | ID: mdl-31602615
ABSTRACT
Liquid chromatography-mass spectrometry (LC-MS) based nontargeted metabolomics has been applied to a wide range of biological samples and can provide information on thousands of compounds. However, reliable identification of the compounds remains a challenge affecting result interpretation. In this protocol, we describe comparable yeast cell and whole blood metabolome sample preparation for extracting similar compound groups, and we present a LC-MS method using the all ion fragmentation (AIF) approach for the purposes of increasing accuracy in metabolite annotation. Our method enables database-dependent targeted as well as nontargeted metabolomics analysis from the same data acquisition, while simultaneously improving the accuracy in metabolite identification to increase the quality of the resulting biological information.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Saccharomyces cerevisiae / Metabolomics Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2019 Document type: Article Affiliation country: Japón

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Saccharomyces cerevisiae / Metabolomics Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2019 Document type: Article Affiliation country: Japón