RRC ID 54371
著者 Takahashi M, Izumi Y, Iwahashi F, Nakayama Y, Iwakoshi M, Nakao M, Yamato S, Fukusaki E, Bamba T.
タイトル Highly Accurate Detection and Identification Methodology of Xenobiotic Metabolites Using Stable Isotope Labeling, Data Mining Techniques, and Time-Dependent Profiling Based on LC/HRMS/MS.
ジャーナル Anal Chem
Abstract A generally applicable method to discover xenobiotic metabolites is important to safely and effectively develop xenobiotics. We propose an advanced method to detect and identify comprehensive xenobiotic metabolites using stable isotope labeling, liquid chromatography coupled with benchtop quadrupole Orbitrap high-resolution tandem mass spectrometry (LC/HRMS/MS), data mining techniques (alignment, peak picking, and paired-peaks filtering), in silico metabolism prediction, and time-dependent profiling. The LC/HRMS analysis was carried out using Arabidopsis T87 cultured cells treated with unlabeled or with 13C- or 2H-labeled 2,4-dichlorophenoxyacetic acid (2,4-D). Paired-peak filtering enabled the accurate detection of 83 candidates for 2,4-D metabolites without any false positive peaks derived from solvents or the biological matrix. We confirmed 10 previously reported 2,4-D metabolites and identified 16 novel 2,4-D metabolites. Our method provides accurate detection and identification of comprehensive xenobiotic metabolites and represents a potentially useful tool for elucidating xenobiotic metabolism.
巻・号 90(15)
ページ 9068-9076
公開日 2018-8-7
DOI 10.1021/acs.analchem.8b01388
PMID 30024726
MeSH 2,4-Dichlorophenoxyacetic Acid / metabolism* Arabidopsis / cytology Arabidopsis / drug effects Arabidopsis / metabolism* Cells, Cultured Chromatography, High Pressure Liquid Data Mining / methods Herbicides / metabolism* Isotope Labeling / methods Tandem Mass Spectrometry / methods* Xenobiotics / metabolism*
IF 6.785
引用数 1
リソース情報
シロイヌナズナ / 植物培養細胞・遺伝子 rpc00008