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High-Resolution Quantification of Focal Adhesion Spatiotemporal Dynamics in Living Cells
Focal adhesions (FAs) are macromolecular complexes that provide a linkage between the cell and its external environment. In a motile cell, focal adhesions change size and position to govern cell migration, through the dynamic processes of assembly and disassembly. To better understand the dynamic re...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3136503/ https://www.ncbi.nlm.nih.gov/pubmed/21779367 http://dx.doi.org/10.1371/journal.pone.0022025 |
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author | Berginski, Mathew E. Vitriol, Eric A. Hahn, Klaus M. Gomez, Shawn M. |
author_facet | Berginski, Mathew E. Vitriol, Eric A. Hahn, Klaus M. Gomez, Shawn M. |
author_sort | Berginski, Mathew E. |
collection | PubMed |
description | Focal adhesions (FAs) are macromolecular complexes that provide a linkage between the cell and its external environment. In a motile cell, focal adhesions change size and position to govern cell migration, through the dynamic processes of assembly and disassembly. To better understand the dynamic regulation of focal adhesions, we have developed an analysis system for the automated detection, tracking, and data extraction of these structures in living cells. This analysis system was used to quantify the dynamics of fluorescently tagged Paxillin and FAK in NIH 3T3 fibroblasts followed via Total Internal Reflection Fluorescence Microscopy (TIRF). High content time series included the size, shape, intensity, and position of every adhesion present in a living cell. These properties were followed over time, revealing adhesion lifetime and turnover rates, and segregation of properties into distinct zones. As a proof-of-concept, we show how a single point mutation in Paxillin at the Jun-kinase phosphorylation site Serine 178 changes FA size, distribution, and rate of assembly. This study provides a detailed, quantitative picture of FA spatiotemporal dynamics as well as a set of tools and methodologies for advancing our understanding of how focal adhesions are dynamically regulated in living cells. A full, open-source software implementation of this pipeline is provided at http://gomezlab.bme.unc.edu/tools. |
format | Online Article Text |
id | pubmed-3136503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-31365032011-07-21 High-Resolution Quantification of Focal Adhesion Spatiotemporal Dynamics in Living Cells Berginski, Mathew E. Vitriol, Eric A. Hahn, Klaus M. Gomez, Shawn M. PLoS One Research Article Focal adhesions (FAs) are macromolecular complexes that provide a linkage between the cell and its external environment. In a motile cell, focal adhesions change size and position to govern cell migration, through the dynamic processes of assembly and disassembly. To better understand the dynamic regulation of focal adhesions, we have developed an analysis system for the automated detection, tracking, and data extraction of these structures in living cells. This analysis system was used to quantify the dynamics of fluorescently tagged Paxillin and FAK in NIH 3T3 fibroblasts followed via Total Internal Reflection Fluorescence Microscopy (TIRF). High content time series included the size, shape, intensity, and position of every adhesion present in a living cell. These properties were followed over time, revealing adhesion lifetime and turnover rates, and segregation of properties into distinct zones. As a proof-of-concept, we show how a single point mutation in Paxillin at the Jun-kinase phosphorylation site Serine 178 changes FA size, distribution, and rate of assembly. This study provides a detailed, quantitative picture of FA spatiotemporal dynamics as well as a set of tools and methodologies for advancing our understanding of how focal adhesions are dynamically regulated in living cells. A full, open-source software implementation of this pipeline is provided at http://gomezlab.bme.unc.edu/tools. Public Library of Science 2011-07-14 /pmc/articles/PMC3136503/ /pubmed/21779367 http://dx.doi.org/10.1371/journal.pone.0022025 Text en Berginski et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Berginski, Mathew E. Vitriol, Eric A. Hahn, Klaus M. Gomez, Shawn M. High-Resolution Quantification of Focal Adhesion Spatiotemporal Dynamics in Living Cells |
title | High-Resolution Quantification of Focal Adhesion Spatiotemporal Dynamics in Living Cells |
title_full | High-Resolution Quantification of Focal Adhesion Spatiotemporal Dynamics in Living Cells |
title_fullStr | High-Resolution Quantification of Focal Adhesion Spatiotemporal Dynamics in Living Cells |
title_full_unstemmed | High-Resolution Quantification of Focal Adhesion Spatiotemporal Dynamics in Living Cells |
title_short | High-Resolution Quantification of Focal Adhesion Spatiotemporal Dynamics in Living Cells |
title_sort | high-resolution quantification of focal adhesion spatiotemporal dynamics in living cells |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3136503/ https://www.ncbi.nlm.nih.gov/pubmed/21779367 http://dx.doi.org/10.1371/journal.pone.0022025 |
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