The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Studying the Fate of Tumor Extracellular Vesicles at High Spatiotemporal Resolution Using the Zebrafish Embryo
Open accessAbstract
Tumor extracellular vesicles (EVs) mediate the communication between tumor and stromal cells mostly to the benefit of tumor progression. Notably, tumor EVs travel in the bloodstream, reach distant organs, and locally modify the microenvironment. However, visualizing these events in vivo still faces major hurdles. Here, we describe an approach for tracking circulating tumor EVs in a living organism: we combine chemical and genetically encoded probes with the zebrafish embryo as an animal model. We provide a first description of tumor EVs' hemodynamic behavior and document their intravascular arrest. We show that circulating tumor EVs are rapidly taken up by endothelial cells and blood patrolling macrophages and subsequently stored in degradative compartments. Finally, we demonstrate that tumor EVs activate macrophages and promote metastatic outgrowth. Overall, our study proves the usefulness and prospects of zebrafish embryo to track tumor EVs and dissect their role in metastatic niches formation in vivo.
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Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890
Shedding light on the cell biology of extracellular vesicles
van Niel, G., D'Angelo, G., & Raposo, G. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.125 · Cited by 8,369
Extracellular vesicles: Exosomes, microvesicles, and friends
Raposo, G., & Stoorvogel, W. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201211138 · Cited by 8,099
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
Cox, J., Hein, M. Y., Luber, C. A., Paron, I., Nagaraj, N., & Mann, M. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.031591 · Cited by 5,180
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-citationKowal, J., Arras, G., Colombo, M., Jouve, M., Morath, J. P., Primdal-Bengtson, B., Dingli, F., Loew, D., Tkach, M., & Théry, C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521230113 · Cited by 3,426
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
Biogenesis and secretion of exosomes
Kowal, J., Tkach, M., & Théry, C. (2014) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2014.05.004 · Cited by 1,781
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Challenges and directions in studying cell–cell communication by extracellular vesicles
van Niel, G., Carter, D. R. F., Clayton, A., Lambert, D. W., Raposo, G., & Vader, P. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00460-3 · Cited by 1,229
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Terstappen, G. C., Meyer, A. H., Bell, R. D., & Zhang, W. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-021-00139-y · Cited by 1,138
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Teng, F., & Fussenegger, M. (2021) · Advanced Science · doi:10.1002/advs.202003505 · Cited by 382
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Verweij, F. J., Revenu, C., Arras, G., Dingli, F., Loew, D., Pegtel, D. M., Follain, G., Allio, G., Goetz, J. G., Zimmermann, P., et al. (2019) · Developmental Cell · doi:10.1016/j.devcel.2019.01.004 · Cited by 346
Self-citationUsing single-vesicle technologies to unravel the heterogeneity of extracellular vesicles
Bordanaba-Florit, G., Royo, F., Kruglik, S. G., & Falcón-Pérez, J. M. (2021) · Nature Protocols · doi:10.1038/s41596-021-00551-z · Cited by 325
Lysosome-related organelles as functional adaptations of the endolysosomal system
Delevoye, C., Marks, M. S., & Raposo, G. (2019) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2019.05.003 · Cited by 174
The Contrasting Role of Extracellular Vesicles in Vascular Inflammation and Tissue Repair
Oggero, S., Austin-Williams, S., & Norling, L. V. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.01479 · Cited by 85
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Metadata
- Authors
- Hyenne, V., Ghoroghi, S., Collot, M., Bons, J., Follain, G., Harlepp, S., Mary, B., Bauer, J., Mercier, L., Busnelli, I., Lefebvre, O., Fekonja, N., Garcia-Leon, M. J., Machado, P., Delalande, F., López, A. A., Silva, S. G., Verweij, F. J., van Niel, G., Djouad, F., Peinado, H., Carapito, C., Klymchenko, A. S., & Goetz, J. G.
- Venue
- Developmental Cell
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 48
- Issue
- 4
- Pages
- 554-572.e7
- ISSN
- 1534-5807 (ISSN-L)
- OpenAlex
- W2950891082
- Cited by
- 231
- References
- 16
- FWCI
- 8.31
- Type
- journal article
- Language
- en
- Open access
- bronze
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