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High-resolution quantification of focal adhesion spatiotemporal dynamics in living cells

  • North Carolina State University
    ,
  • University of North Carolina at Chapel Hill
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

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.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Article number

e22025

Journal (Volume, Issue Number)

PloS one (Volume 6, Issue 7)

Publication milestones

  • Published - 2011

Publication status

Published - 2011

ISSN

1932-6203

Publication IDs

  • Scopus: 79960334368
  • PubMed: 21779367

Publication metrics

Metrics

SciVal
citations
103
Fractional count
1
Fractional count
0.25
Fractional count
3
Fractional count
0.75
Fractional count
1
Fractional count
1
Scopus
citations
SciVal
FWCI
3.52
SciVal
Author count
4
SciVal
Paper percentile
97
SciVal
Top percentile
5

PlumX, opens in new tab

Captures
303
Citation count
144

Funding Details

FunderFunding number
NINDS
F31NS062487