Shimizu Takafumi, Watanabe Mutsumi, Fernie Alisdair R, Tohge Takayuki
Graduate School of Biological Sciences, Nara Institute of Science and Technology, Ikoma, Nara, Japan.
Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.
Methods Mol Biol. 2018;1778:171-181. doi: 10.1007/978-1-4939-7819-9_12.
Recent technological developments and methodological advances of both liquid chromatography (LC) and mass spectrometry (MS) have allowed LC-MS-based plant metabolomics to become a common tool for investigating quantity, quality, and chemical diversity of plant metabolites. Targeted LC-MS metabolite analysis focuses on the detection and quantitation of the researcher's target metabolites. Whilst the word "target analysis" has been used for the analytical measurement to obtain the absolute concentrations evaluated by authentic and/or stable-isotope-labeled standards, over time the phrase came to be also used in a broad sense for the measurement of annotatable metabolites by structural information obtained from the combination of different strategies such as MS/MS analysis, reference extracts, mutant analysis and database search. Here, we describe a general protocol for targeted LC-MS metabolite profiling of plant secondary metabolites. Additionally, we introduce some examples of peak annotation using the combination approach.
液相色谱（LC）和质谱（MS）最近的技术发展和方法进步，使基于LC-MS的植物代谢组学成为研究植物代谢物数量、质量和化学多样性的常用工具。靶向LC-MS代谢物分析专注于检测和定量研究人员的目标代谢物。虽然“靶向分析”一词已用于通过真实和/或稳定同位素标记标准评估绝对浓度的分析测量，但随着时间的推移，该短语也被广泛用于通过从MS/MS分析、参考提取物、突变体分析和数据库搜索等不同策略组合获得的结构信息来测量可注释代谢物。在此，我们描述了一种用于植物次生代谢物靶向LC-MS代谢物谱分析的通用方案。此外，我们介绍了一些使用组合方法进行峰注释的示例。
