High-Resolution Quantification of Focal Adhesion Spatiotemporal Dynamics in Living Cells

被引:126
作者
Berginski, Mathew E. [1 ]
Vitriol, Eric A. [2 ]
Hahn, Klaus M. [4 ,5 ]
Gomez, Shawn M. [1 ,3 ,4 ]
机构
[1] Univ N Carolina, Dept Biomed Engn, Chapel Hill, NC 27515 USA
[2] Univ N Carolina, Dept Cell & Dev Biol, Chapel Hill, NC USA
[3] Univ N Carolina, Dept Comp Sci, Chapel Hill, NC USA
[4] Univ N Carolina, Dept Pharmacol, Chapel Hill, NC USA
[5] Univ N Carolina, Lineberger Comprehens Canc Ctr, Chapel Hill, NC 27599 USA
来源
PLOS ONE | 2011年 / 6卷 / 07期
基金
美国国家环境保护局;
关键词
D O I
10.1371/journal.pone.0022025
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:13
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