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SE Authors Miyako Kusano, Henning Redestig, Tadayoshi Hirai, Akira Oikawa, Fumio Matsuda, Atsushi Fukushima, Masanori Arita, Shin Watanabe, Megumu Yano, Kyoko Hiwasa-Tanase, Hiroshi Ezura, Kazuki Saito
SE Description We propose using multiple analytical platf We propose using multiple analytical platforms for the direct acquisition of an interpretable data set of estimable chemical diversity. As an example, we report an application of our multi-platform approach that assesses the substantial equivalence of tomatoes over-expressing the taste-modifying protein miraculin. In combination, the chosen platforms detected compounds that represent 86% of the estimated chemical diversity of the metabolites listed in the LycoCyc database. Following a proof-of-safety approach, we show that w92% had an acceptable range of variation while simultaneously indicating a reproducible transformation-related metabolic signature. We conclude that multi-platform metabolomics is an approach that is both sensitive and robust and that it constitutes a good starting point for characterizing genetically modified organisms. acterizing genetically modified organisms.
SE ID SE53  +
SE Reference Kusano M et al. (2011) PLOS ONE 6: e16989
SE Title Covering chemical diversity of genetically-modified tomatoes using metabolomics for objective substantial equivalence assessment  +
Modification dateThis property is a special property in this wiki. 18 April 2018 01:58:14  +
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