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Cited by 521

The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.

Extracellular vesicles: masters of intercellular communication and potential clinical interventions

Open access
Pitt, Jonathan M., Kroemer, Guido, Zitvogel, Laurence·2016·Journal of Clinical Investigation

Abstract

Intercellular signaling via extracellular vesicles (EVs) is an underappreciated modality of cell-cell crosstalk that enables cells to convey packages of complex instructions to specific recipient cells. EVs transmit these instructions through their cargoes of multiple proteins, nucleic acids, and specialized lipids, which are derived from their cells of origin and allow for combinatorial effects upon recipient cells. This Review series brings together the recent progress in our understanding of EV signaling in physiological and pathophysiological conditions, highlighting how certain EVs, particularly exosomes, can promote or regulate infections, host immune responses, development, and various diseases - notably cancer. Given the diverse nature of EVs and their abilities to profoundly modulate host cells, this series puts particular emphasis on the clinical applications of EVs as therapeutics and as diagnostic biomarkers.

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Registry

Crossref · 10.1172/jci87316

Cites

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Metadata

Authors
Pitt, J. M., Kroemer, G., & Zitvogel, L.
Venue
Journal of Clinical Investigation
Published
2016-04-01
Volume
126
Issue
4
Pages
1139-1143
ISSN
  • 0021-9738 (ISSN-L)
  • 1558-8238
OpenAlex
W2323793261
Cited by
521
References
73
FWCI
21.82
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Extracellular vesicles: masters of intercellular communication and potential clinical interventions. https://app.cochat.ai/papers/10.1172/jci87316
The paper
Pitt, J. M., Kroemer, G., & Zitvogel, L. (2016). Extracellular vesicles: masters of intercellular communication and potential clinical interventions. Journal of Clinical Investigation. https://doi.org/10.1172/jci87316

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.