The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Proteases and glycosidases on the surface of exosomes: Newly discovered mechanisms for extracellular remodeling
Open accessAbstract
Emergence of the field of exosome biology has opened an exciting door to better understanding communication between cells. These tiny nanovesicles act as potent regulators of biological function by delivering proteins, lipids and nucleic acids from the cell of origin to target cells. Recently, several enzymes including membrane-type 1 matrix metalloproteinase (MT1-MMP), insulin-degrading enzyme (IDE), sialidase and heparanase, among others, were localized on the surface of exosomes secreted by various cell types. These exosomal surface enzymes retain their activity and can degrade their natural substrates present within extracellular spaces. To date, enzymes on exosome surfaces have been associated with the mobilization of growth factors, degradation of extracellular matrix macromolecules and destruction of amyloid β plaques. This review focuses on the emerging role of exosomal surface enzymes and how this mechanism of remodeling within the extracellular space may regulate disease progression as related to cancer, inflammation and Alzheimer’s disease.
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Cites
Extracellular vesicles: Exosomes, microvesicles, and friends
Raposo, G., & Stoorvogel, W. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201211138 · Cited by 8,099
Neurotrophins and their receptors: A convergence point for many signalling pathways
Chao, M. V. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1078 · Cited by 2,298
Syndecan–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
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
Role of microglia in CNS inflammation
Graeber, M. B., Li, W., & Rodriguez, M. L. (2011) · FEBS Letters · doi:10.1016/j.febslet.2011.08.033 · Cited by 392 · cited 1×
“facilitated mechanism of neurotrophin regulation is potentially of great importance as microglia are known to be involved in maintenance of brain cells and in development of neurological diseases including Alzheimer’s and multiple sclerosis [36].”
Heparanase Regulates Secretion, Composition, and Function of Tumor Cell-derived Exosomes
Thompson, C. A., Purushothaman, A., Ramani, V. C., Vlodavsky, I., & Sanderson, R. D. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.c112.444562 · Cited by 322
Self-citationHost Matrix Modulation by Tumor Exosomes Promotes Motility and Invasiveness
Mu, W., Rana, S., & Zöller, M. (2013) · Neoplasia · doi:10.1593/neo.13786 · Cited by 248
Novel Regulation of Fibroblast Growth Factor 2 (FGF2)-mediated Cell Growth by Polysialic Acid
Ono, S., Hane, M., Kitajima, K., & Sato, C. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.276618 · Cited by 105
Cited by
Zhang, 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
The extracellular matrix as a multitasking player in disease
Theocharis, A. D., Manou, D., & Karamanos, N. K. (2019) · The FEBS Journal · doi:10.1111/febs.14818 · Cited by 511
Macrophages: The Good, the Bad, and the Gluttony
Ross, E. A., Devitt, A., & Johnson, J. R. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.708186 · Cited by 431
Molecular interactions at the surface of extracellular vesicles
Buzás, E. I., Tóth, E. Á., Sódar, B. W., & Szabó-Taylor, K. É. (2018) · Seminars in Immunopathology · doi:10.1007/s00281-018-0682-0 · Cited by 375
Metadata
- Authors
- Sanderson, R. D., Bandari, S. K., & Vlodavsky, I.
- Venue
- Matrix Biology
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 75-76
- Pages
- 160-169
- ISSN
- 0945-053X (ISSN-L)
- OpenAlex
- W2766208450
- Cited by
- 180
- References
- 8
- FWCI
- 5.82
- Type
- journal article
- Language
- en
- Open access
- green
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- Sanderson, R. D., Bandari, S. K., & Vlodavsky, I. (2019). Proteases and glycosidases on the surface of exosomes: Newly discovered mechanisms for extracellular remodeling. Matrix Biology. https://doi.org/10.1016/j.matbio.2017.10.007
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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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