| SE Authors
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Yuji Sawada, Kenji Akiyama, Akane Sakata, Ayuko Kuwahara, Hitomi Otsuki, Tetsuya Sakurai, Kazuki Saito, Masami Yokota Hirai
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| SE Description
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We optimized the MRM conditions for specif … We optimized the MRM conditions for specific compounds by performing automated flow injection analyses with TQMS. Based on a total of 61,920 spectra for 860 authentic compounds, the MRM conditions of 497 compounds were successfully optimized. These were applied to high-throughput automated analysis of biological samples using TQMS coupled with ultra performance liquid chromatography (UPLC). By this analysis, approximately 100 metabolites were quantifi ed in each of 14 plant accessions from Brassicaceae, Gramineae and Fabaceae. A hierarchical cluster analysis based on the metabolite accumulation patterns clearly showed differences among the plant families, and family-specifi c metabolites could be predicted using a batch-learning self organizing map analysis. Thus, the automated widely targeted metabolomics approach established here should pave the way for large-scale metabolite profi ling and comparative metabolomics. e profi ling and comparative metabolomics.
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| SE ID
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SE57 +
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| SE Reference
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Sawada Y et al. (2009) Plant and Cell Physiology 50: 37-47
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| SE Title
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Widely targeted metabolomics based on large-scale MS/MS data for elucidating metabolite accumulation patterns in plants +
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| Modification dateThis property is a special property in this wiki.
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23 April 2018 10:05:26 +
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