The DOI matches its Crossref record; 149 of the 149 references it cites were found in a registry or an index.
Extracellular Vesicle Heterogeneity: Subpopulations, Isolation Techniques, and Diverse Functions in Cancer Progression
Open accessAbstract
Cells release membrane enclosed nano-sized vesicles termed extracellular vesicles (EVs) that function as mediators of intercellular communication by transferring biological information between cells. Tumor-derived EVs have emerged as important mediators in cancer development and progression, mainly through transfer of their bioactive content which can include oncoproteins, oncogenes, chemokine receptors, as well as soluble factors, transcripts of proteins and miRNAs involved in angiogenesis or inflammation. This transfer has been shown to influence the metastatic behavior of primary tumors. Moreover, tumor-derived EVs have been shown to influence distant cellular niches, establishing favorable microenvironments that support growth of disseminated cancer cells upon their arrival at these pre-metastatic niches. It is generally accepted that cells release a number of major EV populations with distinct biophysical properties and biological functions. Exosomes, microvesicles, and apoptotic bodies are EV populations most widely studied and characterized. They are discriminated based primarily on their intracellular origin. However, increasing evidence suggests that even within these EV populations various subpopulations may exist. This heterogeneity introduces an extra level of complexity in the study of EV biology and function. For example, EV subpopulations could have unique roles in the intricate biological processes underlying cancer biology. Here, we discuss current knowledge regarding the role of subpopulations of EVs in cancer development and progression and highlight the relevance of EV heterogeneity. The position of tetraspanins and integrins therein will be highlighted. Since addressing EV heterogeneity has become essential for the EV field, current and novel techniques for isolating EV subpopulations will also be discussed. Further dissection of EV heterogeneity will advance our understanding of the critical roles of EVs in health and disease.
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1 retracted
Rana, S., Yue, S., Stadel, D., & Zöller, M. (2012) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2012.06.018 · Cited by 663
RetractedValadi, 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
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
The distribution of secondary growths in cancer of the breast.
Paget, S. (1889) · The Lancet · doi:10.1016/s0140-6736(00)49915-0 · Cited by 5,277
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
Skog, J., Würdinger, T., van Rijn, S., Meijer, D. H., Gainche, L., Curry, W. T., Carter, B. S., Krichevsky, A. M., & Breakefield, X. O. (2008) · Nature Cell Biology · doi:10.1038/ncb1800 · Cited by 5,001
Membrane vesicles as conveyors of immune responses
Théry, C., Ostrowski, M., & Segura, E. (2009) · Nature Reviews Immunology · doi:10.1038/nri2567 · Cited by 3,882
Melanoma exosomes educate bone marrow progenitor cells toward a pro-metastatic phenotype through MET
Peinado, H., Alečković, M., Lavotshkin, S., Matei, I., Costa-Silva, B., Moreno-Bueno, G., Hergueta-Redondo, M., Williams, C., García-Santos, G., Ghajar, C. M., et al. (2012) · Nature Medicine · doi:10.1038/nm.2753 · Cited by 3,715
Ceramide Triggers Budding of Exosome Vesicles into Multivesicular Endosomes
Trajkovic, K., Hsu, C., Chiantia, S., Rajendran, L., Wenzel, D., Wieland, F., Schwille, P., Brügger, B., & Simons, M. (2008) · Science · doi:10.1126/science.1153124 · Cited by 3,627
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
Cited by
The biology , function , and biomedical applications of exosomes
Kalluri, R., & LeBleu, V. S. (2020) · Science · doi:10.1126/science.aau6977 · Cited by 10,770
Therapeutically harnessing extracellular vesicles
Cheng, L., & Hill, A. F. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00410-w · Cited by 737
Kou, M., Huang, L., Yang, J., Chiang, Z., Chen, S., Liu, J., Guo, L., Zhang, X., Zhou, X., Xu, X., et al. (2022) · Cell Death & Disease · doi:10.1038/s41419-022-05034-x · Cited by 640
Exosome Processing and Characterization Approaches for Research and Technology Development
Lai, J. J., Chau, Z. L., Chen, S., Hill, J. J., Korpany, K. V., Liang, N., Lin, L., Lin, Y., Liu, J. K., Liu, Y., et al. (2022) · Advanced Science · doi:10.1002/advs.202103222 · Cited by 623
Recent advances in extracellular vesicles for therapeutic cargo delivery
Kim, H. I., Park, J., Zhu, Y., Wang, X., Han, Y., & Zhang, D. (2024) · Experimental & Molecular Medicine · doi:10.1038/s12276-024-01201-6 · Cited by 505
Metadata
- Authors
- Willms, E., Cabañas, C., Mäger, I., Wood, M. J. A., & Vader, P.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2018-04-30
- Volume
- 9
- Pages
- 738-738
- ISSN
- 1664-3224 (ISSN-L)
- OpenAlex
- W2801497388
- Cited by
- 981
- References
- 149
- FWCI
- 24.17
- Type
- journal article
- Language
- en
- Open access
- gold
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- Willms, E., Cabañas, C., Mäger, I., Wood, M. J. A., & Vader, P. (2018). Extracellular Vesicle Heterogeneity: Subpopulations, Isolation Techniques, and Diverse Functions in Cancer Progression. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2018.00738
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