Department of Bioengineering, University of Washington, Seattle, Washington, USA; email:
Annu Rev Biomed Eng. 2023 Jun 8;25:281-309. doi: 10.1146/annurev-bioeng-110220-034007. Epub 2023 Apr 17.
Lipids are essential cellular components forming membranes, serving as energy reserves, and acting as chemical messengers. Dysfunction in lipid metabolism and signaling is associated with a wide range of diseases including cancer and autoimmunity. Heterogeneity in cell behavior including lipid signaling is increasingly recognized as a driver of disease and drug resistance. This diversity in cellular responses as well as the roles of lipids in health and disease drive the need to quantify lipids within single cells. Single-cell lipid assays are challenging due to the small size of cells (∼1 pL) and the large numbers of lipid species present at concentrations spanning orders of magnitude. A growing number of methodologies enable assay of large numbers of lipid analytes, perform high-resolution spatial measurements, or permit highly sensitive lipid assays in single cells. Covered in this review are mass spectrometry, Raman imaging, and fluorescence-based assays including microscopy and microseparations.
脂质是构成细胞膜的重要细胞成分,作为能量储备,并充当化学信使。脂质代谢和信号转导功能障碍与包括癌症和自身免疫在内的多种疾病有关。细胞行为的异质性,包括脂质信号转导,越来越被认为是疾病和耐药性的驱动因素。这种细胞反应的多样性以及脂质在健康和疾病中的作用,推动了在单细胞内定量脂质的需求。单细胞脂质分析具有挑战性,因为细胞体积小(约 1 pL),并且存在大量脂质种类,其浓度跨度数量级。越来越多的方法能够分析大量的脂质分析物,进行高分辨率的空间测量,或在单细胞中进行高灵敏度的脂质分析。本文综述了质谱、拉曼成像和基于荧光的分析方法,包括显微镜和微分离。