Salzer Liesa, Witting Michael
Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany.
Metabolomics and Proteomics Core, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany.
Metabolites. 2021 Apr 29;11(5):284. doi: 10.3390/metabo11050284.
Metabolomics and lipidomics recently gained interest in the model organism (). The fast development, easy cultivation and existing forward and reverse genetic tools make the small nematode an ideal organism for metabolic investigations in development, aging, different disease models, infection, or toxicology research. The conducted type of analysis is strongly depending on the biological question and requires different analytical approaches. Metabolomic analyses in have been performed using nuclear magnetic resonance (NMR) spectroscopy, direct infusion mass spectrometry (DI-MS), gas-chromatography mass spectrometry (GC-MS) and liquid chromatography mass spectrometry (LC-MS) or combinations of them. In this review we provide general information on the employed techniques and their advantages and disadvantages in regard to metabolomics. Additionally, we reviewed different fields of application, e.g., longevity, starvation, aging, development or metabolism of secondary metabolites such as ascarosides or maradolipids. We also summarised applied bioinformatic tools that recently have been used for the evaluation of metabolomics or lipidomics data from . Lastly, we curated metabolites and lipids from the reviewed literature, enabling a prototypic collection which serves as basis for a future specific metabolome database.
代谢组学和脂质组学最近在模式生物()中受到关注。小线虫发育迅速、易于培养,且具备正向和反向遗传工具,这使其成为发育、衰老、不同疾病模型、感染或毒理学研究中代谢研究的理想生物。所进行的分析类型在很大程度上取决于生物学问题,并且需要不同的分析方法。在(此处原文缺失相关信息)中,代谢组学分析已使用核磁共振(NMR)光谱法、直接进样质谱法(DI-MS)、气相色谱 - 质谱联用法(GC-MS)和液相色谱 - 质谱联用法(LC-MS)或它们的组合来进行。在这篇综述中,我们提供了关于所采用技术及其在代谢组学方面的优缺点的一般信息。此外,我们回顾了不同的应用领域,例如寿命、饥饿、衰老、发育或次生代谢物(如ascarosides或maradolipids)的代谢。我们还总结了最近用于评估来自(此处原文缺失相关信息)的代谢组学或脂质组学数据的应用生物信息学工具。最后,我们从综述文献中整理了代谢物和脂质,形成了一个原型集合,作为未来特定(此处原文缺失相关信息)代谢组数据库的基础。