The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Possibilities and limitations of current technologies for quantification of biological extracellular vesicles and synthetic mimics
Open accessAbstract
Nano-sized extracelullar vesicles (EVs) released by various cell types play important roles in a plethora of (patho)physiological processes and are increasingly recognized as biomarkers for disease. In addition, engineered EV and EV-inspired liposomes hold great potential as drug delivery systems. Major technologies developed for high-throughput analysis of individual EV include nanoparticle tracking analysis (NTA), tunable resistive pulse sensing (tRPS) and high-resolution flow cytometry (hFC). Currently, there is a need for comparative studies on the available technologies to improve standardization of vesicle analysis in diagnostic or therapeutic settings. We investigated the possibilities, limitations and comparability of NTA, tRPS and hFC for analysis of tumor cell-derived EVs and synthetic mimics (i.e. differently sized liposomes). NTA and tRPS instrument settings were identified that significantly affected the quantification of these particles. Furthermore, we detailed the differences in absolute quantification of EVs and liposomes using the three technologies. This study increases our understanding of possibilities and pitfalls of NTA, tRPS and hFC, which will benefit standardized and large-scale clinical application of (engineered) EVs and EV-mimics in the future.
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Extracellular vesicles: biology and emerging therapeutic opportunities
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Self-citationRegulation of immune responses by extracellular vesicles
Robbins, P. D., & Morelli, A. E. (2014) · Nature Reviews Immunology · doi:10.1038/nri3622 · Cited by 2,260
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Biogenesis and secretion of exosomes
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Sizing and phenotyping of cellular vesicles using Nanoparticle Tracking Analysis
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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-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
Self-citationZhang, Y., Bi, J., Huang, J., Tang, Y., Du, S., & Li, P. (2020) · International Journal of Nanomedicine · doi:10.2147/ijn.s264498 · Cited by 1,323
EV-TRACK: transparent reporting and centralizing knowledge in extracellular vesicle research
EV-TRACK Consortium, Van Deun, J., Mestdagh, P., Agostinis, P., Akay, Ö., Anand, S., Anckaert, J., Martinez, Z. A., Baetens, T., Beghein, E., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4185 · Cited by 1,284
Self-citationIsolation of Extracellular Vesicles: General Methodologies and Latest Trends
Konoshenko, M. Y., Lekchnov, E. A., Vlassov, A. V., & Laktionov, P. P. (2018) · BioMed Research International · doi:10.1155/2018/8545347 · Cited by 1,243
Metadata
- Authors
- Maas, S. L. N., de Vrij, J., van der Vlist, E. J., Geragousian, B., van Bloois, L., Mastrobattista, E., Schiffelers, R. M., Wauben, M. H. M., Broekman, M. L. D., & Nolte-'t Hoen, E. N. M.
- Venue
- Journal of Controlled Release
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 200
- Pages
- 87-96
- ISSN
- 0168-3659 (ISSN-L)
- OpenAlex
- W2128111546
- Cited by
- 285
- References
- 38
- FWCI
- 7.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Maas, S. L. N., de Vrij, J., van der Vlist, E. J., Geragousian, B., van Bloois, L., Mastrobattista, E., Schiffelers, R. M., Wauben, M. H. M., Broekman, M. L. D., & Nolte-'t Hoen, E. N. M. (2015). Possibilities and limitations of current technologies for quantification of biological extracellular vesicles and synthetic mimics. Journal of Controlled Release. https://doi.org/10.1016/j.jconrel.2014.12.041
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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.
