Abstract
In these days of post genome era, metabolome studies attract more attention because the information on metabolites is the key data for so-called systems biology. To analyze the metabolites, mass spectrometry (MS) has been used mainly. However, the MS analysis is not always suitable to detect chemically-diversed metabolites. Therefore, we have been trying to establish NMR-based metabolomics approach. We have conducted the stable isotope labeling of plants, insects and mice, optimization of the extraction solvent for metabolites, building a chemical shift database, and constructing a semi-automtic signal assignment system, SpinAssign. In this talk, we will review these methodologic developments. We will also show the in vivo NMR measurements of Arabidopsis T87 cultured cells treated with ABA coupled with transcriptome analysis, and our attempt to detect metabolite changes in Ds insertion mutants. In addition, the future perspective and the potential of NMR metabolomics will be discussed.
