title: Visualizing and quantifying adhesive signals.
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.
authors.affiliation: Department of Cell Biology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA.
authors.forename: Mohsen
authors.initials: M
authors.lastname: Sabouri-Ghomi
authors.forename: Yi
authors.initials: Y
authors.lastname: Wu
authors.forename: Klaus
authors.initials: K
authors.lastname: Hahn
authors.forename: Gaudenz
authors.initials: G
authors.lastname: Danuser
mesh_terms: D000818:Animals; D015374:Biosensing Techniques; D002448:Cell Adhesion / Q000502:physiology*; D015815:Cell Adhesion Molecules / Q000378:metabolism*; D003599:Cytoskeleton / Q000378:metabolism; D005109:Extracellular Matrix / Q000378:metabolism; D040542:Mechanotransduction, Cellular / Q000502:physiology*; D008856:Microscopy, Fluorescence / Q000379:methods*; D013057:Spectrum Analysis / Q000379:methods*; D013314:Stress, Mechanical
chemical_list: D015815:Cell Adhesion Molecules