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    Characterization of Actin Filament Networks

    Access Status
    Fulltext not available
    Authors
    Mukherjee, Abhijit
    Karthik, V.
    Date
    2013
    Type
    Conference Paper
    
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    Citation
    Mukherjee, A. and Karthik, V. 2013. Characterization of Actin Filament Networks, in Proceedings of the 22nd International Workshop on Computational Mechanics of Materials, Sep 24-26 2013. Baltimore, MD, USA: J. Hopkins University, Department of Civil Engineering.
    Source Title
    tbc
    Source Conference
    22nd International Workshop on Computational Mechanics of Materials
    School
    Department of Civil Engineering
    URI
    http://hdl.handle.net/20.500.11937/38139
    Collection
    • Curtin Research Publications
    Abstract

    Changes in the biophysical and biomechanical properties of cells and sub-cellular structures are early indicators of onset and progression of human diseases such as cancer. Cell mechanics, locomotion, metastasis and neoplastic transformation are greatly influenced by the cytoskeleton that is composed of actin microfilaments, intermediate filaments and microtubule biopolymer. Prior work on mechanical characterization of semi flexible networks can be extended to mechanical characterization of cytoskeleton networks. It is observed that disrupting actin networks with drugs may lead to a three-fold decrease in cell elasticity, while depolymerizing microtubules and intermediate filaments with appropriate agents does not have as significant an effect on the cell’s structural strength. Thus, it is imperative to develop a realistic model of actin microfilaments for a meaningful prediction of cell mechanical behavior. In this paper, we investigate the influence of directionality of actin filaments in cytoskeleton networks. Numerical models for characterization of actin cytoskeleton are developed from recorded microscope images. It is observed that the directional vectors of actin microfilaments strongly influence their response to mechanical stimuli. The response of the cell to mechanical stimuli is directly correlated with the direction cosines.

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