The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.
Imaging extracellular vesicles: current and emerging methods
Open accessAbstract
Extracellular vesicles (EVs) are lipid bilayer-enclosed nanoparticles released by cells. They range from 30 nm to several micrometers in diameter, and ferry biological cargos such as proteins, lipids, RNAs and DNAs for local and distant intercellular communications. EVs have since been found to play a role in development, as well as in diseases including cancers. To elucidate the roles of EVs, researchers have established different methods to visualize and study their spatiotemporal properties. However, since EV are nanometer-sized, imaging them demands a full understanding of each labeling strategy to ensure accurate monitoring. This review covers current and emerging strategies for EV imaging for prospective studies.
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Cites
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Cited by
Welsh, J. A., Goberdhan, D. C. I., O'Driscoll, L., Buzas, E. I., Blenkiron, C., Bussolati, B., Cai, H., Di Vizio, D., Driedonks, T. A. P., Erdbrügger, U., et al. (2024) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12404 · Cited by 4,663
Extracellular vesicles as a next-generation drug delivery platform
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Challenges and directions in studying cell–cell communication by extracellular vesicles
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Clinical applications for exosomes: Are we there yet?
Perocheau, D., Touramanidou, L., Gurung, S., Gissen, P., & Baruteau, J. (2021) · British Journal of Pharmacology · doi:10.1111/bph.15432 · Cited by 123
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Metadata
- Authors
- Chuo, S. T.-Y., Chien, J. C.-Y., & Lai, C. P.-K.
- Venue
- Journal of Biomedical Science
- Published
- 2018-12
- Volume
- 25
- Issue
- 1
- Pages
- 91-91
- ISSN
- 1021-7770 (ISSN-L)
- 1423-0127
- OpenAlex
- W2906563695
- Cited by
- 359
- References
- 101
- FWCI
- 10.28
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Chuo, S. T.-Y., Chien, J. C.-Y., & Lai, C. P.-K. (2018). Imaging extracellular vesicles: current and emerging methods. Journal of Biomedical Science. https://doi.org/10.1186/s12929-018-0494-5
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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