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Updated: Jun 24, 2026
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Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
Published on: March 17, 2023
Integrated Multiomics Enabled by Sequential Extraction for Comprehensive Molecular Profiling of Small Extracellular
Andrew J Perciaccante1,2, Holden T Rogers1,2, Yanlong Zhu2,3
1Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Analytical Chemistry
|June 22, 2026
Summary
This study introduces a mass spectrometry multiomics platform for analyzing small extracellular vesicles (sEVs). The method enables deep characterization of proteins, lipids, and metabolites from limited sEV samples for biomarker discovery.
Area of Science:
- Biochemistry
- Molecular Biology
- Biotechnology
Background:
- Small extracellular vesicles (sEVs) contain biomarkers reflecting their cell of origin.
- Characterizing sEVs is difficult due to limited sample material.
- Existing methods struggle with comprehensive molecular profiling of sEVs.
Purpose of the Study:
- To develop an integrated multiomics platform for simultaneous protein, lipid, and metabolite analysis from single sEV samples.
- To maximize sample utilization and enhance analytical depth for low-input sEV analysis.
- To establish a robust foundation for sEV biomarker discovery and therapeutic applications.
Main Methods:
- An integrated mass spectrometry-based multiomics platform utilizing sequential extraction.
- Iterative tandem mass spectrometry for enhanced small-molecule fragmentation.
- Nanoflow proteomics with data-independent acquisition for deep molecular coverage.
Main Results:
- Achieved deep and reproducible multiomic characterization of proteins, lipids, and metabolites from 10 million sEVs.
- Demonstrated platform compatibility with sEVs isolated by ultracentrifugation, SEC-UF, and polymer precipitation.
- Revealed purification-dependent molecular profile differences linked to yield-purity trade-offs.
Conclusions:
- The integrated multiomics platform addresses a key challenge in low-input sEV analysis.
- This strategy enables synergistic biomarker discovery and therapeutic development using sEVs.
- The platform provides a robust analytical foundation for advancing sEV research.
