Literature DB >> 8376918

A stochastic model for adhesion-mediated cell random motility and haptotaxis.

R B Dickinson1, R T Tranquillo.   

Abstract

The active migration of blood and tissue cells is important in a number of physiological processes including inflammation, wound healing, embryogenesis, and tumor cell metastasis. These cells move by transmitting cytoplasmic force through membrane receptors which are bound specifically to adhesion ligands in the surrounding substratum. Recently, much research has focused on the influence of the composition of extracellular matrix and the distribution of its components on the speed and direction of cell migration. It is commonly believed that the magnitude of the adhesion influences cell speed and/or random turning behavior, whereas a gradient of adhesion may bias the net direction of the cell movement, a phenomenon known as haptotaxis. The mechanisms underlying these responses are presently not understood. A stochastic model is presented to provide a mechanistic understanding of how the magnitude and distribution of adhesion ligands in the substratum influence cell movement. The receptor-mediated cell migration is modeled as an interrelation of random processes on distinct time scales. Adhesion receptors undergo rapid binding and transport, resulting in a stochastic spatial distribution of bound receptors fluctuating about some mean distribution. This results in a fluctuating spatio-temporal pattern of forces on the cell, which in turn affects the speed and turning behavior on a longer time scale. The model equations are a system of nonlinear stochastic differential equations (SDE's) which govern the time evolution of the spatial distribution of bound and free receptors, and the orientation and position of the cell. These SDE's are integrated numerically to simulate the behavior of the model cell on both a uniform substratum, and on a gradient of adhesion ligand concentration. Furthermore, analysis of the governing SDE system and corresponding Fokker-Planck equation (FPE) yields analytical expressions for indices which characterize cell movement on multiple time scales in terms of cell cytomechanical, morphological, and receptor binding and transport parameters. For a uniform adhesion ligand concentration, this analysis provides expressions for traditional cell movement indices such as mean speed, directional persistence time, and random motility coefficient. In a small gradient of adhesion, a perturbation analysis of the FPE yields a constitutive cell flux expression which includes a drift term for haptotactic directional cell migration. The haptotactic drift contains terms identified as contributions from directional orientation bias (taxis), kinesis, and orthotaxis, of which taxis appears to be predominant given estimates of the model parameters.

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Year:  1993        PMID: 8376918     DOI: 10.1007/bf00161199

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  48 in total

1.  Tumor cell haptotaxis on covalently immobilized linear and exponential gradients of a cell adhesion peptide.

Authors:  B K Brandley; R L Schnaar
Journal:  Dev Biol       Date:  1989-09       Impact factor: 3.582

2.  Covalent attachment of an Arg-Gly-Asp sequence peptide to derivatizable polyacrylamide surfaces: support of fibroblast adhesion and long-term growth.

Authors:  B K Brandley; R L Schnaar
Journal:  Anal Biochem       Date:  1988-07       Impact factor: 3.365

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Authors:  A Harris
Journal:  Exp Cell Res       Date:  1973-03-15       Impact factor: 3.905

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Journal:  J Biol Chem       Date:  1985-04-10       Impact factor: 5.157

6.  The role of G-protein in matrix-mediated motility of highly and poorly invasive melanoma cells.

Authors:  B R Lester; L S Weinstein; J B McCarthy; Z Q Sun; R S Smith; L T Furcht
Journal:  Int J Cancer       Date:  1991-04-22       Impact factor: 7.396

7.  Two distinct cell-binding domains in laminin can independently promote nonneuronal cell adhesion and spreading.

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Journal:  J Cell Biol       Date:  1987-07       Impact factor: 10.539

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Journal:  J Cell Biol       Date:  1981-07       Impact factor: 10.539

9.  The E8 subfragment of laminin promotes locomotion of myoblasts over extracellular matrix.

Authors:  S L Goodman; G Risse; K von der Mark
Journal:  J Cell Biol       Date:  1989-08       Impact factor: 10.539

10.  Thrombospondin-induced tumor cell migration: haptotaxis and chemotaxis are mediated by different molecular domains.

Authors:  G Taraboletti; D D Roberts; L A Liotta
Journal:  J Cell Biol       Date:  1987-11       Impact factor: 10.539

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  41 in total

1.  Stochastic models for cell motion and taxis.

Authors:  Edward L Ionides; Kathy S Fang; R Rivkah Isseroff; George F Oster
Journal:  J Math Biol       Date:  2003-08-06       Impact factor: 2.259

2.  Tissue engineering science: consequences of cell traction force.

Authors:  R T Tranquillo; M A Durrani; A G Moon
Journal:  Cytotechnology       Date:  1992       Impact factor: 2.058

3.  Influence of type I collagen surface density on fibroblast spreading, motility, and contractility.

Authors:  Christianne Gaudet; William A Marganski; Sooyoung Kim; Christopher T Brown; Vaibhavi Gunderia; Micah Dembo; Joyce Y Wong
Journal:  Biophys J       Date:  2003-11       Impact factor: 4.033

4.  Computational model for cell migration in three-dimensional matrices.

Authors:  Muhammad H Zaman; Roger D Kamm; Paul Matsudaira; Douglas A Lauffenburger
Journal:  Biophys J       Date:  2005-05-20       Impact factor: 4.033

5.  Migration of tumor cells in 3D matrices is governed by matrix stiffness along with cell-matrix adhesion and proteolysis.

Authors:  Muhammad H Zaman; Linda M Trapani; Alisha L Sieminski; Alisha Siemeski; Drew Mackellar; Haiyan Gong; Roger D Kamm; Alan Wells; Douglas A Lauffenburger; Paul Matsudaira
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-10       Impact factor: 11.205

Review 6.  Predictive oncology: a review of multidisciplinary, multiscale in silico modeling linking phenotype, morphology and growth.

Authors:  Sandeep Sanga; Hermann B Frieboes; Xiaoming Zheng; Robert Gatenby; Elaine L Bearer; Vittorio Cristini
Journal:  Neuroimage       Date:  2007-06-07       Impact factor: 6.556

7.  [Mathematical modelling in systems biology. Simulation of the desmoplastic stromal reaction as an example].

Authors:  A Groh; A K Louis; F Weichert; T Richards; M Wagner
Journal:  Pathologe       Date:  2008-11       Impact factor: 1.011

Review 8.  Modeling cell migration in 3D: Status and challenges.

Authors:  Rajagopal Rangarajan; Muhammad H Zaman
Journal:  Cell Adh Migr       Date:  2008-04-29       Impact factor: 3.405

9.  Directional persistence of EGF-induced cell migration is associated with stabilization of lamellipodial protrusions.

Authors:  Brian D Harms; Gina M Bassi; Alan Rick Horwitz; Douglas A Lauffenburger
Journal:  Biophys J       Date:  2005-02       Impact factor: 4.033

10.  Master equation-based analysis of a motor-clutch model for cell traction force.

Authors:  Benjamin L Bangasser; David J Odde
Journal:  Cell Mol Bioeng       Date:  2013-12       Impact factor: 2.321

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