The DOI matches its Crossref record; 238 of the 238 references it cites were found in a registry or an index.
Isolation and characterization of extracellular vesicles and future directions in diagnosis and therapy
Open accessAbstract
Extracellular vesicles (EVs) are a unique and heterogeneous class of lipid bilayer nanoparticles secreted by most cells. EVs are regarded as important mediators of intercellular communication in both prokaryotic and eukaryotic cells due to their ability to transfer proteins, lipids and nucleic acids to recipient cells. In addition to their physiological role, EVs are recognized as modulators in pathological processes such as cancer, infectious diseases, and neurodegenerative disorders, providing new potential targets for diagnosis and therapeutic intervention. For a complete understanding of EVs as a universal cellular biological system and its translational applications, optimal techniques for their isolation and characterization are required. Here, we review recent progress in those techniques, from isolation methods to characterization techniques. With interest in therapeutic applications of EVs growing, we address fundamental points of EV‐related cell biology, such as cellular uptake mechanisms and their biodistribution in tissues as well as challenges to their application as drug carriers or biomarkers for less invasive diagnosis or as immunogens. This article is categorized under: Diagnostic Tools > Biosensing Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease Therapeutic Approaches and Drug Discovery > Nanomedicine for Infectious Disease
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Self-citationShedding light on the cell biology of extracellular vesicles
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“The first function attributed to exosomes following their discovery (Harding et al., 1983; Pan et al., 1985) was the elimination of unwanted cellular proteins (Johnstone et al., 1987).”
BackgroundInfluentialRoutes and mechanisms of extracellular vesicle uptake
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Cited by
Extracellular vesicles: New horizons in neurodegeneration
Chen, J., Tian, C., Xiong, X., Yang, Y., & Zhang, J. (2025) · eBioMedicine · doi:10.1016/j.ebiom.2025.105605 · Cited by 53
Metadata
- Authors
- De Sousa, K. P., Rossi, I., Abdullahi, M., Ramirez, M. I., Stratton, D., & Inal, J. M.
- Venue
- WIREs Nanomedicine and Nanobiotechnology
- Publisher
- Wiley
- Published
- 2022-07-27
- Volume
- 15
- Issue
- 1
- Pages
- e1835-e1835
- ISSN
- 1939-0041 (ISSN-L)
- 1939-5116
- OpenAlex
- W4288074738
- Cited by
- 300
- References
- 238
- FWCI
- 15.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.