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Cited by 742

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Sorting it out: Regulation of exosome loading

Open access
Villarroya-Beltri, Carolina, Baixauli, Francesc, Gutiérrez-Vázquez, Cristina, Sánchez-Madrid, Francisco, Mittelbrunn, María·2014·Seminars in Cancer Biology

Abstract

Extracellular vesicles (EVs), a term that includes both exosomes of endocytic origin and vesicles derived from plasma membranes, are continuously secreted by cells to the extracellular environment, and represent a novel vehicle for cell-cell communication. Exosomes contain specific repertoires of proteins and RNAs, indicating the existence of mechanisms that control the sorting of molecules into them. Although the molecular mechanisms that regulate the loading of proteins into exosomes have been studied for years, the sorting of RNA has been elusive until recently. Here we review the molecular mechanisms that control the sorting of molecules into exosomes, with special attention to the sorting of RNA. We also discuss how the cellular context affects the composition of exosomes, and thus the outcome of the communication between the exosome-producer and recipient cells, with particular focus on the communication between tumor cells and with cells of the tumor microenvironment.

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Crossref · 10.1016/j.semcancer.2014.04.009

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Metadata

Authors
Villarroya-Beltri, C., Baixauli, F., Gutiérrez-Vázquez, C., Sánchez-Madrid, F., & Mittelbrunn, M.
Venue
Seminars in Cancer Biology
Publisher
Elsevier BV
Published
2014-10
Volume
28
Pages
3-13
ISSN
1044-579X (ISSN-L)
OpenAlex
W2005154332
Cited by
742
References
13
FWCI
19.23
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Sorting it out: Regulation of exosome loading. https://app.cochat.ai/papers/10.1016/j.semcancer.2014.04.009
The paper
Villarroya-Beltri, C., Baixauli, F., Gutiérrez-Vázquez, C., Sánchez-Madrid, F., & Mittelbrunn, M. (2014). Sorting it out: Regulation of exosome loading. Seminars in Cancer Biology. https://doi.org/10.1016/j.semcancer.2014.04.009

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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.