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Cited by 603

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Directional cell movement through tissues is controlled by exosome secretion

Open access
Sung, Bong Hwan, Ketova, Tatiana, Hoshino, Daisuke, Zijlstra, Andries, Weaver, Alissa M.·2015·Nature Communications

Abstract

Directional cell movement through tissues is critical for multiple biological processes and requires maintenance of polarity in the face of complex environmental cues. Here we use intravital imaging to demonstrate that secretion of exosomes from late endosomes is required for directionally persistent and efficient in vivo movement of cancer cells. Inhibiting exosome secretion or biogenesis leads to defective tumour cell migration associated with increased formation of unstable protrusions and excessive directional switching. In vitro r escue experiments with purified exosomes and matrix coating identify adhesion assembly as a critical exosome function that promotes efficient cell motility. Live-cell imaging reveals that exosome secretion directly precedes and promotes adhesion assembly. Fibronectin is found to be a critical motility-promoting cargo whose sorting into exosomes depends on binding to integrins. We propose that autocrine secretion of exosomes powerfully promotes directionally persistent and effective cell motility by reinforcing otherwise transient polarization states and promoting adhesion assembly.

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Crossref · 10.1038/ncomms8164

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Metadata

Authors
Sung, B. H., Ketova, T., Hoshino, D., Zijlstra, A., & Weaver, A. M.
Venue
Nature Communications
Published
2015-05-13
Volume
6
Issue
1
Pages
7164-7164
ISSN
2041-1723 (ISSN-L)
OpenAlex
W224880912
Cited by
603
References
4
FWCI
19.56
Type
journal article
Language
en
Open access
gold

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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.