Visualizing and quantifying adhesive signals - PubMed (original) (raw)

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Visualizing and quantifying adhesive signals

Mohsen Sabouri-Ghomi et al. Curr Opin Cell Biol. 2008 Oct.

Abstract

Understanding the structural adaptation and signaling of adhesion sites in response to mechanical stimuli requires in situ characterization of the dynamic activation of a large number of adhesion components. Here, we review high-resolution live cell imaging approaches to measure forces, assembly, and interaction of adhesion components, and the activation of adhesion-mediated signals. We conclude by outlining computational multiplexing as a framework for the integration of these data into comprehensive models of adhesion signaling pathways.

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Figures

Figure 1

Figure 1

Resolving the hierarchy of pathway components by pairwise cross correlations of fluctuations in time courses.

Figure 2

Figure 2

Model of spatiotemporal activation of Rac1, Cdc42, and RhoA at the leading edge of migrating mouse embryonic fibroblasts as determined by computational multiplexing. Adapted from [47].

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