Department of Pharmacology, School of Biomedical Sciences, UNSW Sydney, Australia; Cellular Bioenergetics Laboratory, Victor Chang Cardiac Research Institute, Sydney, NSW, Australia.
Department of Pharmacology, School of Biomedical Sciences, UNSW Sydney, Australia.
J Lipid Res. 2023 Mar;64(3):100341. doi: 10.1016/j.jlr.2023.100341. Epub 2023 Feb 4.
Recent advances in single-cell genomics and transcriptomics technologies have transformed our understanding of cellular heterogeneity in growth, development, ageing, and disease; however, methods for single-cell lipidomics have comparatively lagged behind in development. We have developed a method for the detection and quantification of a wide range of phosphatidylcholine and sphingomyelin species from single cells that combines fluorescence-assisted cell sorting with automated chip-based nanoESI and shotgun lipidomics. We show herein that our method is capable of quantifying more than 50 different phosphatidylcholine and sphingomyelin species from single cells and can easily distinguish between cells of different lineages or cells treated with exogenous fatty acids. Moreover, our method can detect more subtle differences in the lipidome between cell lines of the same cancer type. Our approach can be run in parallel with other single-cell technologies to deliver near-complete, high-throughput multi-omics data on cells with a similar phenotype and has the capacity to significantly advance our current knowledge on cellular heterogeneity.
单细胞基因组学和转录组学技术的最新进展改变了我们对细胞在生长、发育、衰老和疾病过程中的异质性的认识；然而，单细胞脂质组学的方法在发展上相对滞后。我们开发了一种从单细胞中检测和定量广泛的磷脂酰胆碱和神经鞘磷脂种类的方法，该方法结合了荧光辅助细胞分选与自动化基于芯片的纳升电喷雾和 shotgun 脂质组学。我们在此展示，我们的方法能够从单个细胞中定量超过 50 种不同的磷脂酰胆碱和神经鞘磷脂种类，并且能够轻松区分不同谱系的细胞或用外源性脂肪酸处理的细胞。此外，我们的方法可以检测出同一癌症类型的细胞系之间脂质组学的更细微差异。我们的方法可以与其他单细胞技术并行运行，为具有相似表型的细胞提供近乎完整的高通量多组学数据，并有可能显著推进我们对细胞异质性的现有认识。
