The DOI matches its Crossref record; 264 of the 264 references it cites were found in a registry or an index.
Exploiting the biogenesis of extracellular vesicles for bioengineering and therapeutic cargo loading
Open accessAbstract
Extracellular vesicles (EVs) are gaining increasing attention for diagnostic and therapeutic applications in various diseases. These natural nanoparticles benefit from favorable safety profiles and unique biodistribution capabilities, rendering them attractive drug-delivery modalities over synthetic analogs. However, the widespread use of EVs is limited by technological shortcomings and biological knowledge gaps that fail to unravel their heterogeneity. An in-depth understanding of their biogenesis is crucial to unlocking their full therapeutic potential. Here, we explore how knowledge about EV biogenesis can be exploited for EV bioengineering to load therapeutic protein or nucleic acid cargos into or onto EVs. We summarize more than 75 articles and discuss their findings on the formation and composition of exosomes and microvesicles, revealing multiple pathways that may be stimulation and/or cargo dependent. Our analysis further identifies key regulators of natural EV cargo loading and we discuss how this knowledge is integrated to develop engineered EV biotherapeutics.
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Self-citationThe biology , function , and biomedical applications of exosomes
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Shedding light on the cell biology of extracellular vesicles
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Tumour exosome integrins determine organotropic metastasis
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Ceramide Triggers Budding of Exosome Vesicles into Multivesicular Endosomes
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Metadata
- Authors
- Rädler, J., Gupta, D., Zickler, A., & Andaloussi, S. E.
- Venue
- Molecular Therapy
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 31
- Issue
- 5
- Pages
- 1231-1250
- ISSN
- 1525-0016 (ISSN-L)
- OpenAlex
- W4321378990
- Cited by
- 282
- References
- 264
- FWCI
- 21.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Rädler, J., Gupta, D., Zickler, A., & Andaloussi, S. E. (2023). Exploiting the biogenesis of extracellular vesicles for bioengineering and therapeutic cargo loading. Molecular Therapy. https://doi.org/10.1016/j.ymthe.2023.02.013
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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.
