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Rap1 Can Bypass the FAK-Src-Paxillin Cascade to Induce Cell Spreading and Focal Adhesion Formation

Overview of attention for article published in PLOS ONE, November 2012
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Title
Rap1 Can Bypass the FAK-Src-Paxillin Cascade to Induce Cell Spreading and Focal Adhesion Formation
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050072
Pubmed ID
Authors

Sarah H. Ross, Emma Spanjaard, Anneke Post, Marjolein J. Vliem, Hendy Kristyanto, Johannes L. Bos, Johan de Rooij

Abstract

We developed new image analysis tools to analyse quantitatively the extracellular-matrix-dependent cell spreading process imaged by live-cell epifluorescence microscopy. Using these tools, we investigated cell spreading induced by activation of the small GTPase, Rap1. After replating and initial adhesion, unstimulated cells exhibited extensive protrusion and retraction as their spread area increased, and displayed an angular shape that was remodelled over time. In contrast, activation of endogenous Rap1, via 007-mediated stimulation of Epac1, induced protrusion along the entire cell periphery, resulting in a rounder spread surface, an accelerated spreading rate and an increased spread area compared to control cells. Whereas basal, anisotropic, spreading was completely dependent on Src activity, Rap1-induced spreading was refractory to Src inhibition. Under Src inhibited conditions, the characteristic Src-induced tyrosine phosphorylations of FAK and paxillin did not occur, but Rap1 could induce the formation of actomyosin-connected adhesions, which contained vinculin at levels comparable to that found in unperturbed focal adhesions. From these results, we conclude that Rap1 can induce cell adhesion and stimulate an accelerated rate of cell spreading through mechanisms that bypass the canonical FAK-Src-Paxillin signalling cascade.

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The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
United States 2 5%
Belgium 1 3%
Unknown 33 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 34%
Student > Ph. D. Student 11 29%
Student > Master 3 8%
Professor > Associate Professor 2 5%
Professor 2 5%
Other 3 8%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 55%
Biochemistry, Genetics and Molecular Biology 7 18%
Medicine and Dentistry 2 5%
Immunology and Microbiology 1 3%
Computer Science 1 3%
Other 2 5%
Unknown 4 11%