Reporting of lipidomics data should be standardized
Reporting of lipidomics data should be standardized
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DOI：
10.1016/j.bbalip.2017.02.013
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发表时间：
2017-08-01
影响因子：
4.8
通讯作者：
Ejsing, Christer S.
中科院分区：
文献类型：
--
作者：
Liebisch, Gerhard;Ekroos, Kim;Ejsing, Christer S.
在我们看来，这篇文章强调了一些与产生高质量的脂质组学数据有关的最相关的问题。这些问题包括与样本收集和存储、脂类提取、猎枪和基于LC-MS的脂类组学方法的使用以及脂类种类的识别、注释和定量有关的陷阱。我们希望强调这些问题将有助于促进实施脂类组学数据传播报告标准的努力。(C)2017爱思唯尔B.V.保留所有权利。
This article highlights, to our opinion, some of the most pertinent issues related to producing high quality lipidomics data. These issues include pitfalls related to sample collection and storage, lipid extraction, the use of shotgun and LC-MS-based lipidomics approaches, and the identification, annotation and quantification of lipid species. We hope that highlighting these issues will help stimulate efforts to implement reporting standards for dissemination of lipidomics data. (C) 2017 Elsevier B.V. All rights reserved.