脂指纹分析获绿灯放行。
Green light for lipid fingerprinting.
机构信息
Rothamsted Research, Department of Plant Science, Harpenden AL5 2JQ, UK.
University of Goettingen, Albrecht-von-Haller-Institute for Plant Sciences, Department of Plant Biochemistry, Justus-von-Liebig-Weg 11, 37077 Goettingen, Germany; University of Goettingen, Goettingen Center for Molecular Biosciences (GZMB), Department of Plant Biochemistry, Justus-von-Liebig-Weg 11, 37077 Goettingen, Germany.
出版信息
Biochim Biophys Acta Mol Cell Biol Lipids. 2017 Aug;1862(8):782-785. doi: 10.1016/j.bbalip.2017.04.005. Epub 2017 Apr 20.
The use of targeted lipidomic approaches for the analysis of plant lipids has steadily increased during recent years. We review recent developments of these methods and suggest the introduction of discovery lipidomics as additional approach through a new workflow, lipid fingerprinting, that integrates the advantages of shotgun lipidomics (quantitative data) with LC-MS-based strategies (higher resolution and/or coverage). This article is part of a Special Issue entitled:BBALIP_Lipidomics Opinion Articles edited by Sepp Kohlwein.
近年来，靶向脂质组学方法在植物脂质分析中的应用稳步增加。我们综述了这些方法的最新进展，并通过引入新的工作流程——脂质指纹图谱，建议将发现脂质组学作为另外一种方法，该方法整合了 shotgun 脂质组学（定量数据）和基于 LC-MS 的策略（更高的分辨率和/或覆盖度）的优势。本文是由 Sepp Kohlwein 编辑的特刊“BBALIP_Lipidomics Opinion Articles”的一部分。
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