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内容简介

In this book，we have selected nine research works at the forefront of molecular and cellular biomechanics to be introduced to our readers．It 1S ouropinion that these works represent the current trend and future directions of cellular biomechanics research．By compiling these different topics into one volume．a unique perspective iS provided on the current state of cell mechanics research and what lies in the future．

目录

Chapter 1Modeling and Simulations of the Dynamics of Growing Cell Clusters
1.1 Introduction
1.2 Single cell geometry and kinematics
1.2.1 The continuum model
1.2.2 The numerical model for the cell geometry
1.3 Single cell equilibrium and material model
1.3.1 Cell equilibrium
1.3.2 The material model
1.3.3 Determination of material constants
1.4 Modeling cell interactions
1.4.1 Cell-to-cell contact
1.4.2 Cell-to-cell adhesion
1.4.3 Cell-to-cell interaction test
1.5 Modeling the cell life cycle
1.6 Details of the numerical implementation
1.6.1 The finite element model
1.6.2 Contact/adhesion interface detection
1.6.3 Time integration
1.6.4 Parallelization
1.7 Numerical results
1.8 Summary and conclusions
References

Chapter 2 Multiscale Biomechanical Modeling of Stem Cell-Extracellular Matrix Interactions
2.1 Introduction
2.2 Cell and ECM modeling
2.2.1 Basic hypothesis and assumptions
2.2.2 Hyperelastic model
2.2.3 Liquid crystal model
2.3 Contact and adhesion models for cell-substrate interactions
2.3.1 The adhesive body force with continuum mechanics contact
2.3.2 The cohesive contact model
2.4 Meshfree Galerkin formulation and the computational algorithm
2.5 Numerical simulations
2.5.1 Validation of the material rhodels
2.5.2 Cell response in four different stiffness substrates
2.5.3 Cell response to a stiffness-varying substrate
2.5.4 Comparison of two different contact algorithms
2.5.5 Three-dimensional simulation of cell spreading
2.6 Discussion and conclusions
References

Chapter 3 Modeling of Proteins and Their Interactions with Solvent
3.1 Introduction
3.2 Classical molecular dynamics
3.2.1 Coarse-grained model
3.2.2 High performance computing
3.3 Principal component analysis
3.3.1 Three oscillators system analysis with PCA
3.3.2 Quasi-harmonic analysis
3.3.3 Equilibrium conformational analysis
3.4 Methods and procedures
3.4.1 Framework
3.4.2 Overlap coefficients
3.4.3 Correlation analysis
3.4.4 PCA with MD simulation
3.4.5 Kabsch algorithm
3.4.6 Positional correlation matrix
3.4.7 Cluster analysis
3.5 MDsimulation with T4 lysozyme
3.5.1 Equilibration measures
3.5.2 Fluctuation analysis
3.5.3 Mode selection and evaluation
3.5.4 Eigenvalue analysis
3.5.5 Overlap evaluation
3.5.6 Identification of slow conformational flexibility
3.5.7 Correlation analysis of T4 lysozyme
3.6 Hemoglobin and sickle cell anemia
……
Chapter 4 Structural， Mechanical and Functional Properties of Intermediate Chapter 5 Cytoskeletal Mechanics and Rheology
Chapter 6 On the Application of Multiphasic Theories to the Problem of Chapter 7 Effect of Substrate Rigidity on the Growth of Nascent Adhesion Chapter 8 Opto-Hydrodynamic Trapping for Multiaxial Single-Cell Biomechanics
Chapter 9 Application of Nonlocal Shell Models to Microtubule Buckling in Living Cells
Appendix A
Appendix B
Appendix C
Appendix D
References

精彩书摘

The life cycle of each cell can be summarized as follows：Each cell is created a8 an ellipsoidal solid with random orientation and volume fwithin
a pre-determined interval）．A finite element mesh iS created as described in Section 1．2．Each of the cells holds an internal“clock”that measures the elapsed time since its creation．For a pre-determined period of time．the cell grows isotropically as described in Section 1．3 reaching at the end an“adult” volume which will remain unchanged（except for the possible deformationl until the eventual death or duplication of the cell．
0nce a cell is considered to be adult it might divide itself．A random ari-
able is sampled at birth determining a dividing pressure（in our simulations
we have employed an exponential distribution）．Approximately every hour （the precise interval is randomly selected for each cell），the average pressure in the cell iS compared with the dividing pressure．If the former iS smaller．the cell divides，and otherwise it remains quiescent．Due to this algorithm．cells in the cluster surface are more prone to divide those in the core．When a cell divides．two small cells are generated close to the center of the parent cell with random orientation．For geometrical reasons，each of these child cells must have a rather small volume SO that，in their creation，they do not overlap with neighboring cells but rather fit within the volume previously occupied by the parent cell．In a short period，each of the two children grows untilits volume becomes close to half of the volume of its parent cell．with the iireFences related to the randomness in the cell original dimensions．These ariations are small and，more importantly，have no effect on average upon he balance of ass．We note that this algorithmic growth is unrelated with the cell true iological growth which iS described in Section 1．2．At birth，every cell also amples a random life duration．which in our simulations followed a Weibull distribution．If a cell becomes too old．it simplv dies and isappears．This often happens to cells in the core，whose average pressure is high and rarely divides．whereas in the cells closer to the surface such phenomenon iS more unlikely．because the cells’clocks reset every time they divide．The last two phenomena have been observed in experiments．as
explained in Introduction，and are ultimately responsible for the saturated
growth laws shown in Section 1．7．
……
“十二五”国家重点图书：细胞力学进展（英文版） [Advances in Materials and Mechanics] 电子书 下载 mobi epub pdf txt

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