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Updated: Jun 25, 2026

Chemical Affinity-Based Isolation of Extracellular Vesicles from Biofluids for Proteomics and Phosphoproteomics Analysis

Chemical Affinity-Based Isolation of Extracellular Vesicles from Biofluids for Proteomics and Phosphoproteomics Analysis

Published on: October 27, 2023

Affinity prefractionation for MS-based plasma proteomics.

Maria Pernemalm¹, Rolf Lewensohn, Janne Lehtiö

¹Karolinska Biomics Center (KBC), Dep. Oncology-Pathology, Karolinksa Institutet, Stockholm, Sweden.

|February 24, 2009

Summary

This summary is machine-generated.

Profiling the plasma proteome is challenging. Affinity-based prefractionation coupled with mass spectrometry (MS) offers successful strategies for deeper plasma proteome analysis and biomarker discovery.

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Last Updated: Jun 25, 2026

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Area of Science:

Proteomics
Biochemistry
Analytical Chemistry

Background:

The human plasma proteome is complex and challenging to analyze comprehensively.
Current proteomics technologies face limitations in profiling the plasma proteome.
Plasma protein profiling is crucial for discovering disease biomarkers and optimizing therapies.

Purpose of the Study:

To review affinity-based prefractionation methods for mass spectrometry (MS)-based plasma proteomics.
To evaluate the analytical depth of various prefractionation techniques.
To compare protein and peptide affinity enrichment strategies.

Main Methods:

Review of published affinity-based protein and peptide prefractionation methods.
Analysis of publicly available MS plasma proteomics data.
Assessment of cellular and extracellular annotated protein proportions.

Main Results:

Affinity-based prefractionation coupled with MS is a successful approach for deep plasma proteome analysis.
High-abundant protein depletion is a common initial step in plasma profiling.
Various affinity-based enrichment methods have emerged for enhanced plasma analysis.

Conclusions:

Affinity-based prefractionation significantly enhances the depth of plasma proteome profiling.
Understanding the analytical depth of different methods is key for biomarker discovery.
This review provides insights into optimizing MS-based plasma proteomics strategies.