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    Exploring the control circuit of cell migration by mathematical modeling

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    Authors
    Satulovsky, Javier
    Lui, Roger
    Wang, Yu-Li
    UMass Chan Affiliations
    Department of Physiology
    Document Type
    Journal Article
    Publication Date
    2008-01-18
    Keywords
    Animals
    *Cell Movement
    Cell Shape
    Dictyostelium
    Feedback, Biochemical
    Microtubules
    *Models, Biological
    Signal Transduction
    Life Sciences
    Medicine and Health Sciences
    
    Metadata
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    Link to Full Text
    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2292371/
    Abstract
    We have developed a top-down, rule-based mathematical model to explore the basic principles that coordinate mechanochemical events during animal cell migration, particularly the local-stimulation-global-inhibition model suggested originally for chemotaxis. Cells were modeled as a shape machine that protrudes or retracts in response to a combination of local protrusion and global retraction signals. Using an optimization algorithm to identify parameters that generate specific shapes and migration patterns, we show that the mechanism of local stimulation global inhibition can readily account for the behavior of Dictyostelium under a large collection of conditions. Within this collection, some parameters showed strong correlation, indicating that a normal phenotype may be maintained by complementation among functional modules. In addition, comparison of parameters for control and nocodazole-treated Dictyostelium identified the most prominent effect of microtubules as regulating the rates of retraction and protrusion signal decay, and the extent of global inhibition. Other changes in parameters can lead to profound transformations from amoeboid cells into cells mimicking keratocytes, neurons, or fibroblasts. Thus, a simple circuit of local stimulation-global inhibition can account for a wide range of cell behaviors. A similar top-down approach may be applied to other complex problems and combined with molecular manipulations to define specific protein functions.
    Source

    Biophys J. 2008 May 1;94(9):3671-83. Epub 2008 Jan 16. Link to article on publisher's site

    DOI
    10.1529/biophysj.107.117002
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/39220
    PubMed ID
    18199677
    Related Resources

    Link to Article in PubMed

    ae974a485f413a2113503eed53cd6c53
    10.1529/biophysj.107.117002
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