Metabolomics and Proteomics Core, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
Chair of Analytical Food Chemistry, TUM School of Life Sciences, Technical University of Munich, Maximus-von-Imhof-Forum 2, 85354, Freising-Weihenstephan, Germany.
Metabolomics. 2024 Jan 24;20(1):15. doi: 10.1007/s11306-023-02075-x.
Lipids are key compounds in the study of metabolism and are increasingly studied in biology projects. It is a very broad family that encompasses many compounds, and the name of the same compound may vary depending on the community where they are studied.
In addition, their structures are varied and complex, which complicates their analysis. Indeed, the structural resolution does not always allow a complete level of annotation so the actual compound analysed will vary from study to study and should be clearly stated. For all these reasons the identification and naming of lipids is complicated and very variable from one study to another, it needs to be harmonized.
METHODS & RESULTS: In this position paper we will present and discuss the different way to name lipids (with chemoinformatic and semantic identifiers) and their importance to share lipidomic results.
Homogenising this identification and adopting the same rules is essential to be able to share data within the community and to map data on functional networks.
脂质是代谢研究中的关键化合物,在生物学项目中越来越受到关注。它是一个非常广泛的家族,包含许多化合物,同一化合物的名称可能因研究的群体而异。
此外,它们的结构多样且复杂,这使得它们的分析变得复杂。实际上,结构解析并不总是允许进行完整的注释,因此实际分析的化合物在不同的研究中会有所不同,并且应该明确说明。由于所有这些原因,脂质的鉴定和命名都很复杂,并且在一项研究到另一项研究中变化很大,因此需要进行协调。
在本立场文件中,我们将介绍和讨论命名脂质的不同方法(使用化学信息学和语义标识符)及其在共享脂质组学结果方面的重要性。
使这种鉴定标准化并采用相同的规则是在社区内共享数据以及将数据映射到功能网络的关键。