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  • Open Access

    ABSTRACT

    Differential Organization of Airway Smooth Muscle Cells on Tubular Surface as A Novel Mechanobiology Mechanism of Airway Tissue Morphogenesis

    Linhong Deng1,*, Yang Jin2, Mingzhi Luo1

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 80-80, 2019, DOI:10.32604/mcb.2019.07370

    Abstract Airway smooth muscle cells (ASMCs) exists within the bronchial airway wall in a form of spirally winding bundles [1]. This pattern emerges early during embryonic development and is involved in airway branching [2], providing the airway appropriate contractile capacity and resistance to circumferential tension in health or causing excessive airway narrowing in disease such as asthma. Despite its importance, the cause of ASMCs self-organization remains largely a mystery. Previously, we have demonstrated in 2D that ASMCs can sense the curvature in their microenvironment and change behaviors in differentiation, orientation and migration accordingly [3]. Here we further explore in 3D microenvironment… More >

  • Open Access

    ARTICLE

    Understanding Actin Organization in Cell Structure through Lattice Based Monte Carlo Simulations

    Kathleen Puskar1, Leonard Apeltsin2, Shlomo Ta’asan3, Russell Schwartz2, Philip R. LeDuc4

    Molecular & Cellular Biomechanics, Vol.1, No.2, pp. 123-132, 2004, DOI:10.3970/mcb.2004.001.123

    Abstract Understanding the connection between mechanics and cell structure requires the exploration of the key molecular constituents responsible for cell shape and motility. One of these molecular bridges is the cytoskeleton, which is involved with intracellular organization and mechanotransduction. In order to examine the structure in cells, we have developed a computational technique that is able to probe the self-assembly of actin filaments through a lattice based Monte Carlo method. We have modeled the polymerization of these filaments based upon the interactions of globular actin through a probabilistic model encompassing both inert and active proteins. The results show similar response to… More >

  • Open Access

    ARTICLE

    Transforming Growth Factor-β1 Remodels the Cytoskeleton Organization of Mature Dendritic Cells via Smad2/3 Signaling Pathway

    Molecular & Cellular Biomechanics, Vol.15, No.1, pp. 21-36, 2018, DOI:10.3970/mcb.2018.015.021

    Abstract Dendritic cells (DCs) are the most potent professional antigen presenting cells as now known, which play critical roles in the initiation, programming and regulation of the immune response. Transforming growth factor-β1 (TGF-β1), one of the major suppressive cytokines in tumor microenvironment, can deteriorate the biomechanical characteristics and motility of mature dendritic cells (mDCs),but the underlying molecular mechanisms are not well defined. In this study, the effects of TGF-β1 on the motilities and T cell priming capabilities of mDCs as well as the molecular regulatory mechanisms were investigated. The results showed that the cytoskeleton (F-actin) organizations of mDCs were abnormally remodeled… More >

  • Open Access

    ARTICLE

    Mesoscopic Biochemical Basis of Isogenetic Inheritance and Canalization: Stochasticity, Nonlinearity, and Emergent Landscape

    Hong Qian, Hao Ge

    Molecular & Cellular Biomechanics, Vol.9, No.1, pp. 1-30, 2012, DOI:10.3970/mcb.2012.009.001

    Abstract Biochemical reaction systems in mesoscopic volume, under sustained environmental chemical gradient(s), can have multiple stochastic attractors. Two distinct mechanisms are known for their origins: (a) Stochastic single-molecule events, such as gene expression, with slow gene on-off dynamics; and (b) nonlinear networks with feedbacks. These two mechanisms yield different volume dependence for the sojourn time of an attractor. As in the classic Arrhenius theory for temperature dependent transition rates, a landscape perspective provides a natural framework for the system's behavior. However, due to the nonequilibrium nature of the open chemical systems, the landscape, and the attractors it represents, are all themselves… More >

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