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Cited by 494

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Extracellular vesicles and viruses: Are they close relatives?

Open access
Nolte-‘t Hoen, Esther, Cremer, Tom, Gallo, Robert C., Margolis, Leonid B.·2016·Proceedings of the National Academy of Sciences

Abstract

Extracellular vesicles (EVs) released by various cells are small phospholipid membrane-enclosed entities that can carry miRNA. They are now central to research in many fields of biology because they seem to constitute a new system of cell–cell communication. Physical and chemical characteristics of many EVs, as well as their biogenesis pathways, resemble those of retroviruses. Moreover, EVs generated by virus-infected cells can incorporate viral proteins and fragments of viral RNA, being thus indistinguishable from defective (noninfectious) retroviruses. EVs, depending on the proteins and genetic material incorporated in them, play a significant role in viral infection, both facilitating and suppressing it. Deciphering the mechanisms of EV-cell interactions may facilitate the design of EVs that inhibit viral infection and can be used as vehicles for targeted drug delivery.

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Crossref · 10.1073/pnas.1605146113

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Metadata

Authors
Nolte-‘t Hoen, E., Cremer, T., Gallo, R. C., & Margolis, L. B.
Venue
Proceedings of the National Academy of Sciences
Published
2016-07-18
Volume
113
Issue
33
Pages
9155-9161
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2495898729
Cited by
494
References
9
FWCI
17.00
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Extracellular vesicles and viruses: Are they close relatives? https://app.cochat.ai/papers/10.1073/pnas.1605146113
The paper
Nolte-‘t Hoen, E., Cremer, T., Gallo, R. C., & Margolis, L. B. (2016). Extracellular vesicles and viruses: Are they close relatives? Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1605146113

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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.