The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Glycosylation of extracellular vesicles: current knowledge, tools and clinical perspectives
Open accessAbstract
It is now acknowledged that extracellular vesicles (EVs) are important effectors in a vast number of biological processes through intercellular transfer of biomolecules. Increasing research efforts in the EV field have yielded an appreciation for the potential role of glycans in EV function. Indeed, recent reports show that the presence of glycoconjugates is involved in EV biogenesis, in cellular recognition and in the efficient uptake of EVs by recipient cells. It is clear that a full understanding of EV biology will require researchers to focus also on EV glycosylation through glycomics approaches. This review outlines the major glycomics techniques that have been applied to EVs in the context of the recent findings. Beyond understanding the mechanisms by which EVs mediate their physiological functions, glycosylation also provides opportunities by which to engineer EVs for therapeutic and diagnostic purposes. Studies characterising the glycan composition of EVs have highlighted glycome changes in various disease states, thus indicating potential for EV glycans as diagnostic markers. Meanwhile, glycans have been targeted as molecular handles for affinity‐based isolation in both research and clinical contexts. An overview of current strategies to exploit EV glycosylation and a discussion of the implications of recent findings for the burgeoning EV industry follows the below review of glycomics and its application to EV biology.
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Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
Tumour exosome integrins determine organotropic metastasis
Hoshino, A., Costa-Silva, B., Shen, T.-L., Rodrigues, G., Hashimoto, A., Tesic Mark, M., Molina, H., Kohsaka, S., Di Giannatale, A., Ceder, S., et al. (2015) · Nature · doi:10.1038/nature15756 · Cited by 5,101
Self-citationDelivery of siRNA to the mouse brain by systemic injection of targeted exosomes
Alvarez-Erviti, L., Seow, Y., Yin, H., Betts, C., Lakhal, S., & Wood, M. J. A. (2011) · Nature Biotechnology · doi:10.1038/nbt.1807 · Cited by 4,930
B lymphocytes secrete antigen-presenting vesicles.
Raposo, G., Nijman, H. W., Stoorvogel, W., Liejendekker, R., Harding, C. V., Melief, C. J., & Geuze, H. J. (1996) · The Journal of experimental medicine · doi:10.1084/jem.183.3.1161 · Cited by 3,546
Pancreatic cancer exosomes initiate pre-metastatic niche formation in the liver
Costa-Silva, B., Aiello, N. M., Ocean, A. J., Singh, S., Zhang, H., Thakur, B. K., Becker, A., Hoshino, A., Mark, M. T., Molina, H., et al. (2015) · Nature Cell Biology · doi:10.1038/ncb3169 · Cited by 2,692
Self-citationSyndecan–syntenin–ALIX regulates the biogenesis of exosomes
Baietti, M. F., Zhang, Z., Mortier, E., Melchior, A., Degeest, G., Geeraerts, A., Ivarsson, Y., Depoortere, F., Coomans, C., Vermeiren, E., et al. (2012) · Nature Cell Biology · doi:10.1038/ncb2502 · Cited by 1,899
Vesiclepedia: A Compendium for Extracellular Vesicles with Continuous Community Annotation
Kalra, H., Simpson, R. J., Ji, H., Aikawa, E., Altevogt, P., Askenase, P., Bond, V. C., Borràs, F. E., Breakefield, X., Budnik, V., et al. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001450 · Cited by 1,367
Christianson, H. C., Svensson, K. J., van Kuppevelt, T. H., Li, J.-P., & Belting, M. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1304266110 · Cited by 903
Engineering hybrid exosomes by membrane fusion with liposomes
Sato, Y. T., Umezaki, K., Sawada, S., Mukai, S.-A., Sasaki, Y., Harada, N., Shiku, H., & Akiyoshi, K. (2016) · Scientific Reports · doi:10.1038/srep21933 · Cited by 744
Extracellular vesicles in neurodegenerative disease — pathogenesis to biomarkers
Thompson, A. G., Gray, E., Heman-Ackah, S. M., Mäger, I., Talbot, K., Andaloussi, S. E., Wood, M. J., & Turner, M. R. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.68 · Cited by 431 · cited 1×
“pathogenesis in several neurodegenerative [16], cardiovascular and metabolic diseases [17].”
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Cited by
RNA delivery by extracellular vesicles in mammalian cells and its applications
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Therapeutically harnessing extracellular vesicles
Cheng, L., & Hill, A. F. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00410-w · Cited by 737
Erdbrügger, U., Blijdorp, C. J., Bijnsdorp, I. V., Borràs, F. E., Burger, D., Bussolati, B., Byrd, J. B., Clayton, A., Dear, J. W., Falcón‐Pérez, J. M., et al. (2021) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12093 · Cited by 404
Ramirez-Garrastacho, M., Bajo-Santos, C., Line, A., Martens-Uzunova, E. S., de la Fuente, J. M., Moros, M., Soekmadji, C., Tasken, K. A., & Llorente, A. (2022) · British Journal of Cancer · doi:10.1038/s41416-021-01610-8 · Cited by 130
Extracellular vesicles and lipoproteins – Smart messengers of blood cells in the circulation
Nguyen, P. H. D., Le, A. H., Pek, J. S. Q., Pham, T. T., Jayasinghe, M. K., Do, D. V., Phung, C. D., & Le, M. T. N. (2022) · Journal of Extracellular Biology · doi:10.1002/jex2.49 · Cited by 31
Metadata
- Authors
- Williams, C., Royo, F., Aizpurua‐Olaizola, O., Pazos, R., Boons, G., Reichardt, N., & Falcon‐Perez, J. M.
- Venue
- Journal of Extracellular Vesicles
- Publisher
- Wiley
- Published
- 2018-03-04
- Volume
- 7
- Issue
- 1
- Pages
- 1442985-1442985
- ISSN
- 2001-3078 (ISSN-L)
- OpenAlex
- W2789390897
- Cited by
- 258
- References
- 11
- FWCI
- 7.14
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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