脂质体
化学
代谢组
组学
计算生物学
蛋白质组
质谱法
代谢组学
单细胞分析
细胞
样品制备
蛋白质组学
色谱法
脂类学
串联质谱法
生物化学
生物信息学
生物
基因
作者
Peng Zhao,Yongxiang Feng,Junhan Wu,Junwen Zhu,Jinlei Yang,Xiaoxiao Ma,Zheng Ouyang,Xinrong Zhang,Wenpeng Zhang,Wenhui Wang
标识
DOI:10.1021/acs.analchem.2c05728
摘要
Mass spectrometry (MS) has become a powerful tool for metabolome, lipidome, and proteome analyses. The efficient analysis of multi-omics in single cells, however, is still challenging in the manipulation of single cells and lack of in-fly cellular digestion and extraction approaches. Here, we present a streamlined strategy for highly efficient and automatic single-cell multi-omics analysis by MS. We developed a 10-pL-level microwell chip for housing individual single cells, whose proteins were found to be digested in 5 min, which is 144 times shorter than traditional bulk digestion. Besides, an automated picoliter extraction system was developed for sampling of metabolites, phospholipids, and proteins in tandem from the same single cell. Also, 2 min MS2 spectra were obtained from 700 pL solution of a single cell sample. In addition, 1391 proteins, phospholipids, and metabolites were detected from one single cell within 10 min. We further analyzed cells digested from cancer tissue samples, achieving up to 40% increase in cell classification accuracy using multi-omics analysis in comparison with single-omics analysis. This automated single-cell MS strategy is highly efficient in analyzing multi-omics information for investigation of cell heterogeneity and phenotyping for biomedical applications.
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