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Comparative Proteomics Reveals Cell-Type-Specific Heterogeneity of Human Neural Cell-Derived Extracellular Vesicles

Extracellular vesicles (EVs) are increasingly explored as biomarkers and as drug delivery vehicles for the brain, yet how EV cargo differs among neural cell types at baseline remains poorly defined. This gap limits both the interpretation of disease-associated EV changes and the rational choice of EV source for therapeutic use. Here, we compared EVs from human neuronal-like SH-SY5Y cells (N-EV),…

A recent study utilized comparative proteomics to examine the heterogeneity of extracellular vesicles (EVs) derived from different types of human neural cells. Extracellular vesicles, which are increasingly being investigated as potential biomarkers and drug delivery vehicles for the brain, have shown variability in their cargo depending on their cellular origin, but the extent of this variability had not been fully characterized.

To address this knowledge gap, the researchers compared EVs from human neuronal-like SH-SY5Y cells (referred to as N-EV), astrocytes (AS-EV), and HMC3 microglia (MG-EV) using tandem mass tag (TMT)-based quantitative proteomics, ensuring that all samples were analyzed together in a single multiplexed batch.

Visual confirmation of EV identity was provided by transmission electron microscopy (TEM), nanoparticle tracking analysis, and the use of canonical MISEV2023 markers. While the physical properties of the EVs, including size, zeta potential, and protein content per vesicle, were found to be consistent across all three types, the N-EV samples exhibited the highest concentration of particles and the greatest protein yield per vesicle.

Upon analyzing the protein cargo, enrichment analyses and consensus clustering revealed that N-EV contained proteins associated with neuronal connectivity and structural remodeling, AS-EV contained proteins linked to extracellular support and cellular interaction, and MG-EV contained proteins indicative of immune surveillance functions.

Beyond these expected roles, the study also uncovered unexpected patterns of EV cargo. For example, complement-associated proteins were found in both N-EV and MG-EV, while a unique "Glial-EV" signature containing chromatin-associated and epigenetic regulatory proteins was shared between AS-EV and MG-EV samples.

To further elucidate the cell-type-specific nature of these EVs, the researchers identified cell-type-specific signature proteins and constructed interaction networks for the larger sets of proteins, which were consistent with the enrichment results. This comprehensive comparative analysis provides a baseline reference for the proteomes of EVs derived from human neural cell models.

Such a reference can be invaluable for interpreting changes in EV composition associated with disease, selecting appropriate EV sources for therapeutic applications, and generating new hypotheses about the specific cargo sorting processes occurring within different cell types.

Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at biorxiv.org →

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