| Fluorescence fluctuation approaches to the study of adhesion and signaling. | |
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MedLine Citation:
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PMID: 23280111 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Cell-matrix adhesions are large, multimolecular complexes through which cells sense and respond to their environment. They also mediate migration by serving as traction points and signaling centers and allow the cell to modify the surroucnding tissue. Due to their fundamental role in cell behavior, adhesions are germane to nearly all major human health pathologies. However, adhesions are extremely complex and dynamic structures that include over 100 known interacting proteins and operate over multiple space (nm-μm) and time (ms-min) regimes. Fluorescence fluctuation techniques are well suited for studying adhesions. These methods are sensitive over a large spatiotemporal range and provide a wealth of information including molecular transport dynamics, interactions, and stoichiometry from a single time series. Earlier chapters in this volume have provided the theoretical background, instrumentation, and analysis algorithms for these techniques. In this chapter, we discuss their implementation in living cells to study adhesions in migrating cells. Although each technique and application has its own unique instrumentation and analysis requirements, we provide general guidelines for sample preparation, selection of imaging instrumentation, and optimization of data acquisition and analysis parameters. Finally, we review several recent studies that implement these techniques in the study of adhesions. |
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Authors:
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Alexia I Bachir; Kristopher E Kubow; Alan R Horwitz |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Methods in enzymology Volume: 519 ISSN: 1557-7988 ISO Abbreviation: Meth. Enzymol. Publication Date: 2013 |
Date Detail:
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Created Date: 2013-01-02 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0212271 Medline TA: Methods Enzymol Country: United States |
Other Details:
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Languages: eng Pagination: 167-201 Citation Subset: IM |
Copyright Information:
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Copyright © 2013 Elsevier Inc. All rights reserved. |
Affiliation:
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Department of Cell Biology, University of Virginia, Charlottesville, Virginia, USA. Electronic address: ab8su@virginia.edu. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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