Multiple-Cycle Polymeric Extracellular Vesicle Precipitation and Its Evaluation by Targeted Mass Spectrometry

Int J Mol Sci. 2021 Apr 21;22(9):4311. doi: 10.3390/ijms22094311.

Abstract

The multiple roles of extracellular vesicles (EVs) in pathogenesis have received much attention, as they are valuable as diagnostic and prognostic biomarkers. We employed polymeric EV precipitation to isolate EVs from clinical specimens to overcome the limitations of ultracentrifugation (UC), such as low protein yields, a large volume of specimens used, and time requirements. Multiple-cycle polymeric EV precipitation was applied to enhance the purity of the EV fractions with a small sample volume. Then, the purity was assessed using a multiple reaction monitoring (MRM) panel consisting of alpha-2-macroglobulin (A2M), thrombospondin 1 (THBS 1), galectin 3 binding protein (LGALS3BP), and serum albumin (ALB). For purity evaluation, the EV fractions isolated from blood specimens were subjected to shotgun proteomics and MRM-based targeted proteomics analyses. We demonstrate that the modified method is an easy and convenient method compared with UC. In the shotgun proteomics analysis, the proteome profile of EV fraction contains 89% EV-related proteins by matching with the EVpedia database. In conclusion, we suggest that multiple-cycle polymeric EV precipitation is not only a more effective method for EV isolation for further proteomics-based experiments, but may also be useful for further clinical applications due to the higher EV yield and low sample requirements.

Keywords: extracellular vesicle; multiple reaction monitoring; pancreatic cancer; polymeric precipitation.

MeSH terms

  • Biomarkers, Tumor / metabolism*
  • Case-Control Studies
  • Extracellular Vesicles / chemistry*
  • Extracellular Vesicles / metabolism*
  • Humans
  • Mass Spectrometry / methods*
  • Pancreatic Neoplasms / metabolism*
  • Pancreatic Neoplasms / pathology
  • Polymers / chemistry
  • Proteome / analysis
  • Proteome / metabolism*

Substances

  • Biomarkers, Tumor
  • Polymers
  • Proteome