The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
High sensitivity detection of extracellular vesicles immune-captured from urine by conventional flow cytometry
Open accessAbstract
Extracellular vesicles (EVs) provide an invaluable tool to analyse physiological processes because they transport, in biological fluids, biomolecules secreted from diverse tissues of an individual. EV biomarker detection requires highly sensitive techniques able to identify individual molecules. However, the lack of widespread, affordable methodologies for high-throughput EV analyses means that studies on biomarkers have not been done in large patient cohorts. To develop tools for EV analysis in biological samples, we evaluated here the critical parameters to optimise an assay based on immunocapture of EVs followed by flow cytometry. We describe a straightforward method for EV detection using general EV markers like the tetraspanins CD9, CD63 and CD81, that allowed highly sensitive detection of urinary EVs without prior enrichment. In proof-of-concept experiments, an epithelial marker enriched in carcinoma cells, EpCAM, was identified in EVs from cell lines and directly in urine samples. However, whereas EVs isolated from 5–10 ml of urine were required for western blot detection of EpCAM, only 500 μl of urine were sufficient to visualise EpCAM expression by flow cytometry. This method has the potential to allow any laboratory with access to conventional flow cytometry to identify surface markers on EVs, even non-abundant proteins, using minimally processed biological samples.
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Cites
Isolation and Characterization of Exosomes from Cell Culture Supernatants and Biological Fluids
Théry, C., Amigorena, S., Raposo, G., & Clayton, A. (2006) · Current Protocols in Cell Biology · doi:10.1002/0471143030.cb0322s30 · Cited by 5,766
Kowal, J., Arras, G., Colombo, M., Jouve, M., Morath, J. P., Primdal-Bengtson, B., Dingli, F., Loew, D., Tkach, M., & Théry, C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521230113 · Cited by 3,426
Vesiclepedia: A Compendium for Extracellular Vesicles with Continuous Community Annotation
Kalra, H., Simpson, R. J., Ji, H., Aikawa, E., Altevogt, P., Askenase, P., Bond, V. C., Borràs, F. E., Breakefield, X., Budnik, V., et al. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001450 · Cited by 1,367
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Cited by
Erdbrügger, U., Blijdorp, C. J., Bijnsdorp, I. V., Borràs, F. E., Burger, D., Bussolati, B., Byrd, J. B., Clayton, A., Dear, J. W., Falcón‐Pérez, J. M., et al. (2021) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12093 · Cited by 404
Rankin-Turner, S., Vader, P., O'Driscoll, L., Giebel, B., Heaney, L. M., & Davies, O. G. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.04.012 · Cited by 161
Emergence of Extracellular Vesicles as “Liquid Biopsy” for Neurological Disorders: Boom or Bust
Kumar, A., Nader, M. A., & Deep, G. (2024) · Pharmacological Reviews · doi:10.1124/pharmrev.122.000788 · Cited by 79
Extracellular vesicles in Alzheimer’s disease: from pathology to therapeutic approaches
Thakor, A., & Garcia-Contreras, M. (2023) · Neural Regeneration Research · doi:10.4103/1673-5374.343882 · Cited by 41
Metadata
- Authors
- Campos-Silva, C., Suárez, H., Jara-Acevedo, R., Linares-Espinós, E., Martinez-Piñeiro, L., Yáñez-Mó, M., & Valés-Gómez, M.
- Venue
- Scientific Reports
- Published
- 2019-02-14
- Volume
- 9
- Issue
- 1
- Pages
- 2042-2042
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2913493748
- Cited by
- 159
- References
- 3
- FWCI
- 6.16
- Type
- journal article
- Language
- en
- Open access
- gold
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- Campos-Silva, C., Suárez, H., Jara-Acevedo, R., Linares-Espinós, E., Martinez-Piñeiro, L., Yáñez-Mó, M., & Valés-Gómez, M. (2019). High sensitivity detection of extracellular vesicles immune-captured from urine by conventional flow cytometry. Scientific Reports. https://doi.org/10.1038/s41598-019-38516-8
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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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