Abstract
Using UPLC-TQMS, we have been established the widely targeted metabolomics based on the large scale MS/MS data (multiple reaction monitoring, MRM) of approx. 1,000 of standard compounds [1]. Moreover, we enhanced the method, and applied it to plant bioresoureces [2, 3]. But many plant metabolites were unknown, and the standard compounds were not available. Thus, the un-targeted MS/MS data (MS2T) for unknown plant metabolites were established by Dr Matsuda (http://prime.psc.riken.jp/) [4, 5]. This detected MS2T can convert to the predicted MRM conditions. In this study, the 2,788 MS2T data, which collected from Arabidopsis tissue samples, were converted as total 50,184 of predicted MRM, and we successfully confirmed high sensitivity- and selectivity- detection. More than 70% of MS2T was identified as the detectable MRM. These results suggested that the optimized MRM conditions from standard compounds and MS2T allowed us the ultra widely targeted metabolomics.
[1-3] Sawada et al., PCP2009a-c, [4] Matsuda et al., Plant J 2009, [5] Akiyama et al., In Silico Biol 2008
