SE53:/AM01
From Metabolonote
Sample Set Information
| ID | SE53 |
|---|---|
| Title | Covering chemical diversity of genetically-modified tomatoes using metabolomics for objective substantial equivalence assessment |
| Description | 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. |
| 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 |
| Reference | Kusano M et al. (2011) PLOS ONE 6: e16989 |
| Comment |
The raw data files are available at DROP Met web site in PRIMe database of RIKEN.
Annotation Method Details Information
| ID | AM01 |
|---|---|
| Title | GC-MS |
| Description | Our custom software for peak annotation written in JAVA |
| Comment_of_details |
