The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Sizing and phenotyping of cellular vesicles using Nanoparticle Tracking Analysis
Open accessAbstract
Cellular microvesicles and nanovesicles (exosomes) are involved in many disease processes and have major potential as biomarkers. However, developments in this area are constrained by limitations in the technology available for their measurement. Here we report on the use of fluorescence nanoparticle tracking analysis (NTA) to rapidly size and phenotype cellular vesicles. In this system vesicles are visualized by light scattering using a light microscope. A video is taken, and the NTA software tracks the brownian motion of individual vesicles and calculates their size and total concentration. Using human placental vesicles and plasma, we have demonstrated that NTA can measure cellular vesicles as small as ≈ 50 nm and is far more sensitive than conventional flow cytometry (lower limit ≈ 300 nm). By combining NTA with fluorescence measurement we have demonstrated that vesicles can be labeled with specific antibody-conjugated quantum dots, allowing their phenotype to be determined. FROM THE CLINICAL EDITOR: The authors of this study utilized fluorescence nanoparticle tracking analysis (NTA) to rapidly size and phenotype cellular vesicles, demonstrating that NTA is far more sensitive than conventional flow cytometry.
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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
Filipe, V., Hawe, A., & Jiskoot, W. (2010) · Pharmaceutical Research · doi:10.1007/s11095-010-0073-2 · Cited by 1,885
Foladori, P., Quaranta, A., & Ziglio, G. (2008) · Water Research · doi:10.1016/j.watres.2008.06.026 · Cited by 79
Cited by
Théry, C., Witwer, K. W., Aikawa, E., Alcaraz, M. J., Anderson, J. D., Andriantsitohaina, R., Antoniou, A., Arab, T., Archer, F., Atkin‐Smith, G. K., et al. (2018) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2018.1535750 · Cited by 11,099
Self-citationBiogenesis, Secretion, and Intercellular Interactions of Exosomes and Other Extracellular Vesicles
Colombo, M., Raposo, G., & Théry, C. (2014) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-101512-122326 · Cited by 6,186
Current knowledge on exosome biogenesis and release
Hessvik, N. P., & Llorente, A. (2018) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-017-2595-9 · Cited by 2,362
Wiklander, O. P. B., Nordin, J. Z., O'Loughlin, A., Gustafsson, Y., Corso, G., Mäger, I., Vader, P., Lee, Y., Sork, H., Seow, Y., et al. (2015) · Journal of Extracellular Vesicles · doi:10.3402/jev.v4.26316 · Cited by 1,730
Applying extracellular vesicles based therapeutics in clinical trials – an ISEV position paper
Lener, T., Gimona, M., Aigner, L., Börger, V., Buzas, E., Camussi, G., Chaput, N., Chatterjee, D., Court, F. A., del Portillo, H. A., et al. (2015) · Journal of Extracellular Vesicles · doi:10.3402/jev.v4.30087 · Cited by 1,491
Metadata
- Authors
- Dragovic, R. A., Gardiner, C., Brooks, A. S., Tannetta, D. S., Ferguson, D. J. P., Hole, P., Carr, B., Redman, C. W. G., Harris, A. L., Dobson, P. J., Harrison, P., & Sargent, I. L.
- Venue
- Nanomedicine: Nanotechnology, Biology and Medicine
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 7
- Issue
- 6
- Pages
- 780-788
- ISSN
- 1549-9634 (ISSN-L)
- OpenAlex
- W2044638539
- Cited by
- 1,362
- References
- 3
- FWCI
- 17.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Dragovic, R. A., Gardiner, C., Brooks, A. S., Tannetta, D. S., Ferguson, D. J. P., Hole, P., Carr, B., Redman, C. W. G., Harris, A. L., Dobson, P. J., Harrison, P., & Sargent, I. L. (2011). Sizing and phenotyping of cellular vesicles using Nanoparticle Tracking Analysis. Nanomedicine: Nanotechnology, Biology and Medicine. https://doi.org/10.1016/j.nano.2011.04.003
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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.
