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Updated: May 31, 2026

Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry

Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry

Published on: July 26, 2022

Advances in small extracellular vesicle analysis.

Wei Zhang¹, Su Su Thae Hnit¹, Xin Feng²

¹Faculty of Science and Engineering, School of Natural Sciences, Macquarie University, Sydney, NSW, Australia.

Advances in Clinical Chemistry

|May 29, 2026

Summary

This summary is machine-generated.

Small extracellular vesicles (sEVs) are key to cell communication and disease processes. Advanced analysis of sEVs using omics technologies reveals their molecular makeup, aiding in disease diagnosis and therapy.

Keywords:

Exosome Glycans Lipids Molecular analysis Nucleic acids Omics Proteins Small extracellular vesicle

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Last Updated: May 31, 2026

Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry

Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry

Published on: July 26, 2022

Extracellular Vesicle Uptake Assay via Confocal Microscope Imaging Analysis

Extracellular Vesicle Uptake Assay via Confocal Microscope Imaging Analysis

Published on: February 14, 2022

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Published on: March 17, 2023

Area of Science:

Biochemistry
Molecular Biology
Cell Biology

Background:

Small extracellular vesicles (sEVs) are vital mediators of intercellular communication.
sEVs play significant roles in physiological and pathological processes.
Understanding sEV molecular composition and function is crucial for biomedical applications.

Purpose of the Study:

To provide an overview of recent advancements in small extracellular vesicle (sEV) analysis.
To highlight the application of omics technologies in sEV research.
To review the current state of sEV analysis for disease diagnosis and therapy.

Main Methods:

Review of recent literature on sEV analysis techniques.
Discussion of omics technologies including proteomics, genomics, transcriptomics, lipidomics, and glycomics.
Focus on the analysis of biomolecules within sEVs: proteins, nucleic acids, lipids, and glycans.

Main Results:

Omics technologies have significantly advanced the understanding of sEV biology and function.
Comprehensive analysis reveals the complex molecular composition of sEVs.
sEV analysis provides insights into disease mechanisms and potential therapeutic targets.

Conclusions:

Recent advances in sEV analysis, particularly through omics, have greatly expanded knowledge in the field.
sEVs hold significant promise for applications in disease diagnosis, prognosis, and therapy.
Continued research in sEV analysis is essential for realizing their full clinical potential.