Bascom Palmer Eye Institute, Miller School of Medicine at University of Miami, Miami, FL, USA.
Miami Integrative Metabolomics Research Center, Miami, FL, USA.
Methods Mol Biol. 2023;2571:133-142. doi: 10.1007/978-1-0716-2699-3_13.
Metabolomics continues to progress, but obstacles remain. The preservation of metabolites in the target tissue and gathering information on the current metabolic state of the organism of interest proves challenging. Robustness, reproducibility, and reliable quantification are necessary for confident metabolite identification and should always be considered for effective biomarker discovery. Recent advancements in analytical platforms, techniques, and data analysis make metabolomics a promising omics for significant research. However, there is no single approach to effectively capturing the metabolome. Coupling separation techniques may improve the power of the analysis and facilitate confident metabolite identification, especially when performing untargeted metabolomics. In this chapter, we will present an untargeted metabolomic analysis of brain tissue from C57BL/6 mice using two UHPLC-MS methods based on reversed-phase and HILIC chromatography.
代谢组学在不断发展,但仍存在障碍。目标组织中代谢物的保存以及获取感兴趣生物体当前代谢状态的信息具有挑战性。稳健性、重现性和可靠的定量对于有信心的代谢物鉴定是必要的,并且应该始终考虑用于有效的生物标志物发现。分析平台、技术和数据分析的最新进展使代谢组学成为一项很有前途的组学,可以进行重要的研究。然而,没有一种单一的方法可以有效地捕获代谢组。结合分离技术可以提高分析的能力,并有助于有信心地鉴定代谢物,特别是在进行非靶向代谢组学分析时。在本章中,我们将介绍使用两种基于反相和 HILIC 色谱的 UHPLC-MS 方法对 C57BL/6 小鼠脑组织进行非靶向代谢组学分析。