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One-Pot Analytical Pipeline for Efficient and Sensitive Proteomic Analysis of Extracellular Vesicles.
Liu, Yi-Kai; Wu, Xiaofeng; Hadisurya, Marco; Li, Li; Kaimakliotis, Hristos; Iliuk, Anton; Tao, W Andy.
Afiliação
  • Liu YK; Department of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States.
  • Wu X; Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.
  • Hadisurya M; Department of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States.
  • Li L; Tymora Analytical Operations, West Lafayette, Indiana 47906, United States.
  • Kaimakliotis H; Indiana University School of Medicine, Indianapolis, Indiana 46202, United States.
  • Iliuk A; Department of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States.
  • Tao WA; Tymora Analytical Operations, West Lafayette, Indiana 47906, United States.
J Proteome Res ; 22(10): 3301-3310, 2023 10 06.
Article em En | MEDLINE | ID: mdl-37702715
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteoma / Vesículas Extracelulares Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteoma / Vesículas Extracelulares Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos