TY - JOUR
T1 - Visualizing and quantifying adhesive signals
AU - Sabouri-Ghomi, Mohsen
AU - Wu, Yi
AU - Hahn, Klaus
AU - Danuser, Gaudenz
N1 - Funding Information:
We thank Hunter Elliott for simulations of pathway fluctuations in Figure 1 . This research is funded by the Cell Migration Consortium (NIH grant U54 GM64346 to GD and KMH) and by the P50 GM68762 (to GD).
PY - 2008/10
Y1 - 2008/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=50849138844&partnerID=8YFLogxK
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U2 - 10.1016/j.ceb.2008.05.004
DO - 10.1016/j.ceb.2008.05.004
M3 - Review article
C2 - 18586481
AN - SCOPUS:50849138844
SN - 0955-0674
VL - 20
SP - 541
EP - 550
JO - Current Opinion in Cell Biology
JF - Current Opinion in Cell Biology
IS - 5
ER -