Literature DB >> 15380385

How cellular movement determines the collective force generated by the Dictyostelium discoideum slug.

John C Dallon1, Hans G Othmer.   

Abstract

How the collective motion of cells in a biological tissue originates in the behavior of a collection of individuals, each of which responds to the chemical and mechanical signals it receives from neighbors, is still poorly understood. Here we study this question for a particular system, the slug stage of the cellular slime mold Dictyostelium discoideum (Dd). We investigate how cells in the interior of a migrating slug can effectively transmit stress to the substrate and thereby contribute to the overall motive force. Theoretical analysis suggests necessary conditions on the behavior of individual cells, and computational results shed light on experimental results concerning the total force exerted by a migrating slug. The model predicts that only cells in contact with the substrate contribute to the translational motion of the slug. Since the model is not based specifically on the mechanical properties of Dd cells, the results suggest that this behavior will be found in many developing systems.

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Year:  2004        PMID: 15380385      PMCID: PMC6457452          DOI: 10.1016/j.jtbi.2004.06.015

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  24 in total

1.  Modeling the effect of deregulated proliferation and apoptosis on the growth dynamics of epithelial cell populations in vitro.

Authors:  Jörg Galle; Markus Loeffler; Dirk Drasdo
Journal:  Biophys J       Date:  2004-10-08       Impact factor: 4.033

2.  Mathematically modelling the effects of counting factor in Dictyostelium discoideum.

Authors:  John Dallon; Wonhee Jang; Richard H Gomer
Journal:  Math Med Biol       Date:  2005-12-21       Impact factor: 1.854

3.  Direct mechanical force measurements during the migration of Dictyostelium slugs using flexible substrata.

Authors:  Jean-Paul Rieu; Catherine Barentin; Yasuo Maeda; Yasuji Sawada
Journal:  Biophys J       Date:  2005-08-19       Impact factor: 4.033

4.  An iterative method to calculate forces exerted by single cells and multicellular assemblies from the detection of deformations of flexible substrates.

Authors:  Catherine Barentin; Yasuji Sawada; Jean-Paul Rieu
Journal:  Eur Biophys J       Date:  2006-01-11       Impact factor: 1.733

5.  Multi-scale models of cell and tissue dynamics.

Authors:  Magdalena A Stolarska; Yangjin Kim; Hans G Othmer
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-09-13       Impact factor: 4.226

6.  Individual-based and continuum models of growing cell populations: a comparison.

Authors:  Helen Byrne; Dirk Drasdo
Journal:  J Math Biol       Date:  2008-10-08       Impact factor: 2.259

7.  Collective invasion of glioma cells through OCT1 signalling and interaction with reactive astrocytes after surgery.

Authors:  Yangjin Kim; Donggu Lee; Sean Lawler
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-07-27       Impact factor: 6.237

Review 8.  Progress and perspectives in signal transduction, actin dynamics, and movement at the cell and tissue level: lessons from Dictyostelium.

Authors:  Till Bretschneider; Hans G Othmer; Cornelis J Weijer
Journal:  Interface Focus       Date:  2016-10-06       Impact factor: 3.906

Review 9.  The role of the microenvironment in tumor growth and invasion.

Authors:  Yangjin Kim; Magdalena A Stolarska; Hans G Othmer
Journal:  Prog Biophys Mol Biol       Date:  2011-06-28       Impact factor: 3.667

10.  From single cells to tissue architecture-a bottom-up approach to modelling the spatio-temporal organisation of complex multi-cellular systems.

Authors:  J Galle; M Hoffmann; G Aust
Journal:  J Math Biol       Date:  2008-04-02       Impact factor: 2.259

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