Takeda Hiroaki, Izumi Yoshihiro, Bamba Takeshi
Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Tokyo, Japan.
RIKEN Center for Brain Science, Saitama, Japan.
Methods Mol Biol. 2025;2891:131-152. doi: 10.1007/978-1-0716-4334-1_7.
Lipidomics has attracted attention in the discovery of unknown biomolecules and for capturing the changes in metabolism caused by genetic and environmental factors in an unbiased manner. However, obtaining reliable lipidomics data, including structural diversity and quantification data, is still challenging. Supercritical fluid chromatography (SFC) is a suitable technique for separating lipid molecules with high throughput and separation efficiency. Here, we describe a quantitative lipidomics method using SFC coupled with mass spectrometry. This technique is suitable for characterizing the structural diversity of lipids (e.g., phospholipids, sphingolipids, glycolipids, and glycerolipids) with high quantitative accuracy to understand their biological functions.
脂质组学在发现未知生物分子以及以无偏倚的方式捕捉由遗传和环境因素引起的代谢变化方面受到了关注。然而，获得可靠的脂质组学数据，包括结构多样性和定量数据，仍然具有挑战性。超临界流体色谱法（SFC）是一种用于以高通量和分离效率分离脂质分子的合适技术。在此，我们描述了一种使用SFC与质谱联用的定量脂质组学方法。该技术适用于以高定量准确性表征脂质（例如磷脂、鞘脂、糖脂和甘油脂）的结构多样性，以了解它们的生物学功能。
