蛋白质组
蛋白质组学
管道(软件)
细胞外小泡
计算生物学
工作流程
样品制备
色谱法
化学
质谱法
计算机科学
生物信息学
生物
生物化学
数据库
细胞生物学
基因
程序设计语言
作者
Yi‐Kai Liu,Xiaofeng Wu,Marco Hadisurya,Li Li,Hristos Z. Kaimakliotis,Anton Iliuk,W. Andy Tao
标识
DOI:10.1021/acs.jproteome.3c00361
摘要
Extracellular vesicle (EV) proteomics emerges as an effective tool for discovering potential biomarkers for disease diagnosis, monitoring, and therapeutics. However, the current workflow of mass spectrometry-based EV proteome analysis is not fully compatible in a clinical setting due to inefficient EV isolation methods and a tedious sample preparation process. To streamline and improve the efficiency of EV proteome analysis, here we introduce a one-pot analytical pipeline integrating a robust EV isolation approach, EV total recovery and purification (EVtrap), with in situ protein sample preparation, to detect urinary EV proteome. By incorporating solvent-driven protein capture and fast on-bead digestion, the one-pot pipeline enabled the whole EV proteome analysis to be completed within one day. In comparison with the existing workflow, the one-pot pipeline was able to obtain better peptide yield and identify the equivalent number of unique EV proteins from 1 mL of urine. Finally, we applied the one-pot pipeline to profile proteomes in urinary EVs of bladder cancer patients. A total of 2774 unique proteins were identified in 53 urine samples using a 15 min gradient library-free data-independent acquisition method. Taken altogether, our novel one-pot analytical pipeline demonstrated its potential for routine and robust EV proteomics in biomedical applications.
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