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A Three-Dimensional Computational Model of Collagen Network Mechanics
by
Weaver, Alissa M.
, Keely, Patricia J.
, Guelcher, Scott A.
, Eliceiri, Kevin W.
, Riching, Kristin
, Zhou, Xin
, Jiang, Yi
, Lee, Byoungkoo
in
Adhesive strength
/ Biology and Life Sciences
/ Biomechanics
/ Biomedical engineering
/ Breast cancer
/ Cancer
/ Cell migration
/ Cell proliferation
/ Collagen
/ Collagen - metabolism
/ Computation
/ Computer applications
/ Computer Simulation
/ Crosslinking
/ Deformation mechanisms
/ Elasticity
/ Engineering
/ Extracellular matrix
/ Extracellular Matrix - metabolism
/ Fiber optic networks
/ Fiber orientation
/ Gene expression
/ Humans
/ Laboratories
/ Mechanical properties
/ Mimicry
/ Models, Biological
/ Molecular biology
/ Physical Sciences
/ Polymers
/ Rheology
/ Rigidity
/ Strain
/ Stress, Mechanical
/ Studies
/ Tensile Strength
/ Tensile tests
/ Three dimensional models
2014
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A Three-Dimensional Computational Model of Collagen Network Mechanics
by
Weaver, Alissa M.
, Keely, Patricia J.
, Guelcher, Scott A.
, Eliceiri, Kevin W.
, Riching, Kristin
, Zhou, Xin
, Jiang, Yi
, Lee, Byoungkoo
in
Adhesive strength
/ Biology and Life Sciences
/ Biomechanics
/ Biomedical engineering
/ Breast cancer
/ Cancer
/ Cell migration
/ Cell proliferation
/ Collagen
/ Collagen - metabolism
/ Computation
/ Computer applications
/ Computer Simulation
/ Crosslinking
/ Deformation mechanisms
/ Elasticity
/ Engineering
/ Extracellular matrix
/ Extracellular Matrix - metabolism
/ Fiber optic networks
/ Fiber orientation
/ Gene expression
/ Humans
/ Laboratories
/ Mechanical properties
/ Mimicry
/ Models, Biological
/ Molecular biology
/ Physical Sciences
/ Polymers
/ Rheology
/ Rigidity
/ Strain
/ Stress, Mechanical
/ Studies
/ Tensile Strength
/ Tensile tests
/ Three dimensional models
2014
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Do you wish to request the book?
A Three-Dimensional Computational Model of Collagen Network Mechanics
by
Weaver, Alissa M.
, Keely, Patricia J.
, Guelcher, Scott A.
, Eliceiri, Kevin W.
, Riching, Kristin
, Zhou, Xin
, Jiang, Yi
, Lee, Byoungkoo
in
Adhesive strength
/ Biology and Life Sciences
/ Biomechanics
/ Biomedical engineering
/ Breast cancer
/ Cancer
/ Cell migration
/ Cell proliferation
/ Collagen
/ Collagen - metabolism
/ Computation
/ Computer applications
/ Computer Simulation
/ Crosslinking
/ Deformation mechanisms
/ Elasticity
/ Engineering
/ Extracellular matrix
/ Extracellular Matrix - metabolism
/ Fiber optic networks
/ Fiber orientation
/ Gene expression
/ Humans
/ Laboratories
/ Mechanical properties
/ Mimicry
/ Models, Biological
/ Molecular biology
/ Physical Sciences
/ Polymers
/ Rheology
/ Rigidity
/ Strain
/ Stress, Mechanical
/ Studies
/ Tensile Strength
/ Tensile tests
/ Three dimensional models
2014
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A Three-Dimensional Computational Model of Collagen Network Mechanics
Journal Article
A Three-Dimensional Computational Model of Collagen Network Mechanics
2014
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Overview
Extracellular matrix (ECM) strongly influences cellular behaviors, including cell proliferation, adhesion, and particularly migration. In cancer, the rigidity of the stromal collagen environment is thought to control tumor aggressiveness, and collagen alignment has been linked to tumor cell invasion. While the mechanical properties of collagen at both the single fiber scale and the bulk gel scale are quite well studied, how the fiber network responds to local stress or deformation, both structurally and mechanically, is poorly understood. This intermediate scale knowledge is important to understanding cell-ECM interactions and is the focus of this study. We have developed a three-dimensional elastic collagen fiber network model (bead-and-spring model) and studied fiber network behaviors for various biophysical conditions: collagen density, crosslinker strength, crosslinker density, and fiber orientation (random vs. prealigned). We found the best-fit crosslinker parameter values using shear simulation tests in a small strain region. Using this calibrated collagen model, we simulated both shear and tensile tests in a large linear strain region for different network geometry conditions. The results suggest that network geometry is a key determinant of the mechanical properties of the fiber network. We further demonstrated how the fiber network structure and mechanics evolves with a local formation, mimicking the effect of pulling by a pseudopod during cell migration. Our computational fiber network model is a step toward a full biomechanical model of cellular behaviors in various ECM conditions.
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