演題概要

ポスター発表

第２日　５月１５日（木）　　会場（月光）

2P-27　　PDF

ノンターゲット型の高網羅的な脂質メタボローム“構造”解析の取り組み

(¹慶大先端生命研・ ²JST•CREST・ ³理研)
^o池田和貴^1,2,3・ 津川裕司³・ 山中早苗^1,2・ 阿部千賀子^1,2・ 冨田勝¹・ 曽我朋義¹

Here we present new lipidomics approaches that are possible to global and precisely identify lipid metabolites by two types of novel MS/MS searching. For the data mining of dependent MS/MS, “knockout selection” method was newly developed to improve the efficiency and accuracy rate of the complicated lipid identification. Multiple Reaction Monitoring (MRM)-like method, our termed “Retro MRM”, was also used to identify the molecular species globally and accurately by “in”dependent MS/MS (All MS/MS). Individual molecular species were automatically recognized by the references to the number of MRM chromatogram overlapping, retention time accuracy, and the intensity order of each MRM chromatogram.
Our new global lipidomics approaches reveal that these data processing are effective to improve the identification accuracy as compared with conventional searching techniques. Our strategies will be also applicable to search new lipids of interest or to identify unknown lipids retrospectively from dependent or “in” dependent MS/MS data without further measurement.