Literature DB >> 19206151

Analysis of cell movement by simultaneous quantification of local membrane displacement and fluorescent intensities using Quimp2.

Leonard Bosgraaf1, Peter J M van Haastert, Till Bretschneider.   

Abstract

The use of fluorescent markers in living cells has increased dramatically in the recent years. The quantitative analysis of the images requires specific analysis software. Previously, the program Quimp was launched for quantitating fluorescent intensities at the membrane or the cortex of the cell. However, Quimp is not well suited to quantitate local membrane displacement. Here we present Quimp2 that is capable of tracking membrane subregions in time, which enables the simultaneous quantification of fluorescent intensities and membrane movement. Quimp2 has two new tools, (i) conversion filters to analyze movies obtained with fluorescent, DIC and phase contrast different microscopes, and (ii) a macro that calculates the local membrane displacement and provides various options to display the results. Quimp2 is used here to investigate the molecular mechanism of cell movement by correlating the dynamics of local membrane movement with the local concentration of myosin and F-actin. 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19206151     DOI: 10.1002/cm.20338

Source DB:  PubMed          Journal:  Cell Motil Cytoskeleton        ISSN: 0886-1544


  32 in total

1.  Multiple regulatory mechanisms for the Dictyostelium Roco protein GbpC.

Authors:  Arjan Kortholt; Wouter N van Egmond; Katarzyna Plak; Leonard Bosgraaf; Ineke Keizer-Gunnink; Peter J M van Haastert
Journal:  J Biol Chem       Date:  2011-11-26       Impact factor: 5.157

2.  Modelling cell motility and chemotaxis with evolving surface finite elements.

Authors:  Charles M Elliott; Björn Stinner; Chandrasekhar Venkataraman
Journal:  J R Soc Interface       Date:  2012-06-06       Impact factor: 4.118

3.  A stochastic model for chemotaxis based on the ordered extension of pseudopods.

Authors:  Peter J M Van Haastert
Journal:  Biophys J       Date:  2010-11-17       Impact factor: 4.033

4.  The local cell curvature guides pseudopodia towards chemoattractants.

Authors:  Peter J M Van Haastert; Leonard Bosgraaf
Journal:  HFSP J       Date:  2009-08-07

5.  Quimp3, an automated pseudopod-tracking algorithm.

Authors:  Leonard Bosgraaf; Peter J M Van Haastert
Journal:  Cell Adh Migr       Date:  2010-01-31       Impact factor: 3.405

6.  Parameter identification problems in the modelling of cell motility.

Authors:  Wayne Croft; Charles M Elliott; Graham Ladds; Björn Stinner; Chandrasekhar Venkataraman; Cathryn Weston
Journal:  J Math Biol       Date:  2014-09-02       Impact factor: 2.259

7.  Image based validation of dynamical models for cell reorientation.

Authors:  Robert Lockley; Graham Ladds; Till Bretschneider
Journal:  Cytometry A       Date:  2014-12-09       Impact factor: 4.355

8.  Automated characterization of cell shape changes during amoeboid motility by skeletonization.

Authors:  Yuan Xiong; Cathryn Kabacoff; Jonathan Franca-Koh; Peter N Devreotes; Douglas N Robinson; Pablo A Iglesias
Journal:  BMC Syst Biol       Date:  2010-03-24

9.  Human mammary epithelial cells exhibit a bimodal correlated random walk pattern.

Authors:  Alka A Potdar; Junhwan Jeon; Alissa M Weaver; Vito Quaranta; Peter T Cummings
Journal:  PLoS One       Date:  2010-03-10       Impact factor: 3.240

10.  The ordered extension of pseudopodia by amoeboid cells in the absence of external cues.

Authors:  Leonard Bosgraaf; Peter J M Van Haastert
Journal:  PLoS One       Date:  2009-04-22       Impact factor: 3.240

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