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Author Spotlight: Advancing EVtrap for High-Throughput Proteomics in Disease Biomarker Discovery
Published on: October 27, 2023
Profiling Phosphoproteome Landscape in Circulating Extracellular Vesicles from Microliters of Biofluids through
Jie Sun1, Qing Li2, Yajie Ding1
1State Key Laboratory of Bioelectronics, National Demonstration Center for Experimental Biomedical Engineering Education, Southeast University, Nanjing, 210096, China.
This study introduces EVTOP, a novel method for isolating and analyzing phosphoproteins from extracellular vesicles (EVs) using minimal biofluid. This technique enables sensitive phosphoproteomic analysis for disease monitoring.
Area of Science:
- Biochemistry
- Proteomics
- Biomaterials
Background:
- Protein phosphorylation regulates critical biological processes.
- Monitoring phosphorylation in biofluids is challenging but clinically relevant.
- Extracellular vesicles (EVs) are promising biomarkers.
Purpose of the Study:
- To develop a streamlined method for EV isolation, protein extraction, and phosphopeptide enrichment.
- To enable sensitive phosphoproteomic analysis from small biofluid volumes.
- To demonstrate clinical utility in monitoring disease treatment.
Main Methods:
- Introduced EVTOP: a one-pot strategy using functionalized magnetic beads for EV isolation, lysis, and protein digestion.
- Utilized Ti(IV) ions and octa-arginine (R8+) for efficient EV capture and protein retention.
- On-bead digestion and phosphopeptide enrichment for subsequent analysis.
Main Results:
- Quantified over 500 unique EV phosphopeptides from a few μL of plasma.
- Identified over 1200 phosphopeptides from 100 μL of cerebrospinal fluid (CSF).
- Successfully monitored chemotherapy outcomes in primary central nervous system lymphoma (PCNSL) patients using CSF.
Conclusions:
- EVTOP is an ultra-sensitive platform for phosphoproteomics.
- The method significantly simplifies analysis from minimal biofluid samples.
- Presents a powerful tool for broad clinical applications, including disease monitoring.
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