The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Bioinspired Cell-Derived Nanovesicles versus Exosomes as Drug Delivery Systems: a Cost-Effective Alternative
Open accessAbstract
Cell Derived Nanovesicles (CDNs) have been developed from the rapidly expanding field of exosomes, representing a class of bioinspired Drug Delivery Systems (DDS). However, translation to clinical applications is limited by the low yield and multi-step approach in isolating naturally secreted exosomes. Here, we show the first demonstration of a simple and rapid production method of CDNs using spin cups via a cell shearing approach, which offers clear advantages in terms of yield and cost-effectiveness over both traditional exosomes isolation, and also existing CDNs fabrication techniques. The CDNs obtained were of a higher protein yield and showed similarities in terms of physical characterization, protein and lipid analysis to both exosomes and CDNs previously reported in the literature. In addition, we investigated the mechanisms of cellular uptake of CDNs in vitro and their biodistribution in an in vivo mouse tumour model. Colocalization of the CDNs at the tumour site in a cancer mouse model was demonstrated, highlighting the potential for CDNs as anti-cancer strategy. Taken together, the results suggest that CDNs could provide a cost-effective alternative to exosomes as an ideal drug nanocarrier.
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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
Routes and mechanisms of extracellular vesicle uptake
Mulcahy, L. A., Pink, R. C., & Carter, D. R. F. (2014) · Journal of Extracellular Vesicles · doi:10.3402/jev.v3.24641 · Cited by 2,832
Vesiclepedia: A Compendium for Extracellular Vesicles with Continuous Community Annotation
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Self-citationExtracellular vesicles for drug delivery.
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Self-citationPolymer vesicles in vivo: correlations with PEG molecular weight
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Cell or Cell Membrane-Based Drug Delivery Systems
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Cited by
Exosomes and Exosome-Inspired Vesicles for Targeted Drug Delivery
Antimisiaris, S. G., Mourtas, S., & Marazioti, A. (2018) · doi:10.20944/preprints201810.0507.v1 · Cited by 605
Biodistribution of extracellular vesicles following administration into animals: A systematic review
Kang, M., Jordan, V., Blenkiron, C., & Chamley, L. W. (2021) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12085 · Cited by 485
Choo, Y. W., Kang, M., Kim, H. Y., Han, J., Kang, S., Lee, J.-R., Jeong, G.-J., Kwon, S. P., Song, S. Y., Go, S., et al. (2018) · ACS Nano · doi:10.1021/acsnano.8b02446 · Cited by 465
Artificial exosomes for translational nanomedicine
Li, Y.-J., Wu, J.-Y., Liu, J., Xu, W., Qiu, X., Huang, S., Hu, X.-B., & Xiang, D.-X. (2021) · Journal of Nanobiotechnology · doi:10.1186/s12951-021-00986-2 · Cited by 303
Bioinspired exosome-like therapeutics and delivery nanoplatforms
Lu, M., & Huang, Y. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2020.119925 · Cited by 282
Metadata
- Authors
- Goh, W. J., Zou, S., Ong, W. Y., Torta, F., Alexandra, A. F., Schiffelers, R. M., Storm, G., Wang, J.-W., Czarny, B., & Pastorin, G.
- Venue
- Scientific Reports
- Published
- 2017-10-30
- Volume
- 7
- Issue
- 1
- Pages
- 14322-14322
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2766071400
- Cited by
- 201
- References
- 6
- FWCI
- 5.14
- Type
- journal article
- Language
- en
- Open access
- gold
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- Goh, W. J., Zou, S., Ong, W. Y., Torta, F., Alexandra, A. F., Schiffelers, R. M., Storm, G., Wang, J.-W., Czarny, B., & Pastorin, G. (2017). Bioinspired Cell-Derived Nanovesicles versus Exosomes as Drug Delivery Systems: a Cost-Effective Alternative. Scientific Reports. https://doi.org/10.1038/s41598-017-14725-x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
