The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Size Characterization and Quantification of Exosomes by Asymmetrical-Flow Field-Flow Fractionation
Abstract
In the past few years extracellular vesicles called exosomes have gained huge interest of scientific community since they show a great potential for human diagnostic and therapeutic applications. However, an ongoing challenge is accurate size characterization and quantification of exosomes because of the lack of reliable characterization techniques. In this work, the emphasis was focused on a method development to size-separate, characterize, and quantify small amounts of exosomes by asymmetrical-flow field-flow fractionation (AF4) technique coupled to a multidetection system (UV and MALS). Batch DLS (dynamic light-scattering) and NTA (nanoparticle tracking analysis) analyses of unfractionated exosomes were also conducted to evaluate their shape and internal structure, as well as their number density. The results show significant influence of cross-flow conditions and channel thickness on fractionation quality of exosomes, whereas the focusing time has less impact. The AF4/UV-MALS and DLS results display the presence of two particles subpopulations, that is, the larger exosomes and the smaller vesicle-like particles, which coeluted in AF4 together with impurities in early eluting peak. Compared to DLS and AF4-MALS results, NTA somewhat overestimates the size and the number density for larger exosome population, but it discriminates the smaller particle population.
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Cites
Extracellular vesicles: biology and emerging therapeutic opportunities
EL Andaloussi, S., Mäger, I., Breakefield, X. O., & Wood, M. J. A. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd3978 · Cited by 3,571
Witwer, K. W., Buzás, E. I., Bemis, L. T., Bora, A., Lässer, C., Lötvall, J., Nolte‐‘t Hoen, E. N., Piper, M. G., Sivaraman, S., Skog, J., et al. (2013) · Journal of Extracellular Vesicles · doi:10.3402/jev.v2i0.20360 · Cited by 2,421
Exosomes – vesicular carriers for intercellular communication
Simons, M., & Raposo, G. (2009) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2009.03.007 · Cited by 2,351
Membrane vesicles, current state-of-the-art: emerging role of extracellular vesicles
György, B., Szabó, T. G., Pásztói, M., Pál, Z., Misják, P., Aradi, B., László, V., Pállinger, É., Pap, E., Kittel, Á., et al. (2011) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-011-0689-3 · Cited by 2,074
Vlassov, A. V., Magdaleno, S., Setterquist, R., & Conrad, R. (2012) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2012.03.017 · Cited by 1,930
Filipe, V., Hawe, A., & Jiskoot, W. (2010) · Pharmaceutical Research · doi:10.1007/s11095-010-0073-2 · Cited by 1,885
Yin, L. (2012) · Nanotechnology Research Methods for Foods and Bioproducts · doi:10.1002/9781118229347.ch8 · Cited by 1,816
Classification, Functions, and Clinical Relevance of Extracellular Vesicles
van der Pol, E., Böing, A. N., Harrison, P., Sturk, A., & Nieuwland, R. (2012) · Pharmacological Reviews · doi:10.1124/pr.112.005983 · Cited by 1,754
Sizing and phenotyping of cellular vesicles using Nanoparticle Tracking Analysis
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., et al. (2011) · Nanomedicine: Nanotechnology, Biology and Medicine · doi:10.1016/j.nano.2011.04.003 · Cited by 1,362
Exosomes Released by Melanoma Cells Prepare Sentinel Lymph Nodes for Tumor Metastasis
Hood, J. L., San, R. S., & Wickline, S. A. (2011) · Cancer Research · doi:10.1158/0008-5472.can-10-4455 · Cited by 1,036
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-citationWelsh, 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
Self-citationApplying 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
Exosome Biochemistry and Advanced Nanotechnology for Next‐Generation Theranostic Platforms
Yang, B., Chen, Y., & Shi, J. (2019) · Advanced Materials · doi:10.1002/adma.201802896 · Cited by 435
Extracellular vesicles: A bright star of nanomedicine
Wu, P., Zhang, B., Ocansey, D. K. W., Xu, W., & Qian, H. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2020.120467 · Cited by 368
Metadata
- Authors
- Sitar, S., Kejžar, A., Pahovnik, D., Kogej, K., Tušek-Žnidarič, M., Lenassi, M., & Žagar, E.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-08-25
- Volume
- 87
- Issue
- 18
- Pages
- 9225-9233
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2409619909
- Cited by
- 283
- References
- 35
- FWCI
- 15.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sitar, S., Kejžar, A., Pahovnik, D., Kogej, K., Tušek-Žnidarič, M., Lenassi, M., & Žagar, E. (2015). Size Characterization and Quantification of Exosomes by Asymmetrical-Flow Field-Flow Fractionation. Analytical Chemistry. https://doi.org/10.1021/acs.analchem.5b01636
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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.
