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Cited by 359

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Quantifying exosome secretion from single cells reveals a modulatory role for GPCR signaling

Open access
Verweij, Frederik Johannes, Bebelman, Maarten P., Jimenez, Connie R., Garcia-Vallejo, Juan J., Janssen, Hans, Neefjes, Jacques, Knol, Jaco C., de Goeij-de Haas, Richard, Piersma, Sander R., Baglio, S. Rubina, Verhage, Matthijs, Middeldorp, Jaap M., Zomer, Anoek, van Rheenen, Jacco, Coppolino, Marc G., Hurbain, Ilse, Raposo, Graça, Smit, Martine J., Toonen, Ruud F.G., van Niel, Guillaume, Pegtel, D. Michiel·2018·Journal of Cell Biology

Abstract

Exosomes are small endosome-derived extracellular vesicles implicated in cell–cell communication and are secreted by living cells when multivesicular bodies (MVBs) fuse with the plasma membrane (PM). Current techniques to study exosome physiology are based on isolation procedures after secretion, precluding direct and dynamic insight into the mechanics of exosome biogenesis and the regulation of their release. In this study, we propose real-time visualization of MVB–PM fusion to overcome these limitations. We designed tetraspanin-based pH-sensitive optical reporters that detect MVB–PM fusion using live total internal reflection fluorescence and dynamic correlative light–electron microscopy. Quantitative analysis demonstrates that MVB–PM fusion frequency is reduced by depleting the target membrane SNAREs SNAP23 and syntaxin-4 but also can be induced in single cells by stimulation of the histamine H1 receptor (H1HR). Interestingly, activation of H1R1 in HeLa cells increases Ser110 phosphorylation of SNAP23, promoting MVB–PM fusion and the release of CD63-enriched exosomes. Using this single-cell resolution approach, we highlight the modulatory dynamics of MVB exocytosis that will help to increase our understanding of exosome physiology and identify druggable targets in exosome-associated pathologies.

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Metadata

Authors
Verweij, F. J., Bebelman, M. P., Jimenez, C. R., Garcia-Vallejo, J. J., Janssen, H., Neefjes, J., Knol, J. C., de Goeij-de Haas, R., Piersma, S. R., Baglio, S. R., Verhage, M., Middeldorp, J. M., Zomer, A., van Rheenen, J., Coppolino, M. G., Hurbain, I., Raposo, G., Smit, M. J., Toonen, R. F. G., van Niel, G., & Pegtel, D. M.
Venue
Journal of Cell Biology
Published
2018-01-16
Volume
217
Issue
3
Pages
1129-1142
ISSN
  • 0021-9525 (ISSN-L)
  • 1540-8140
OpenAlex
W2783004471
Cited by
359
References
44
FWCI
13.46
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Quantifying exosome secretion from single cells reveals a modulatory role for GPCR signaling. https://app.cochat.ai/papers/10.1083/jcb.201703206
The paper
Verweij, F. J., Bebelman, M. P., Jimenez, C. R., Garcia-Vallejo, J. J., Janssen, H., Neefjes, J., Knol, J. C., de Goeij-de Haas, R., Piersma, S. R., Baglio, S. R., Verhage, M., Middeldorp, J. M., Zomer, A., van Rheenen, J., Coppolino, M. G., Hurbain, I., Raposo, G., Smit, M. J., Toonen, R. F. G., . . . Pegtel, D. M. (2018). Quantifying exosome secretion from single cells reveals a modulatory role for GPCR signaling. Journal of Cell Biology. https://doi.org/10.1083/jcb.201703206

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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.