Atnaujinkite slapukų nuostatas

Introduction to Cell Mechanics and Mechanobiology [Minkštas viršelis]

  • Formatas: Paperback / softback, 350 pages, aukštis x plotis: 280x210 mm, weight: 944 g, 250 Illustrations, color
  • Išleidimo metai: 16-Nov-2012
  • Leidėjas: CRC Press Inc
  • ISBN-10: 0815344252
  • ISBN-13: 9780815344254
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 350 pages, aukštis x plotis: 280x210 mm, weight: 944 g, 250 Illustrations, color
  • Išleidimo metai: 16-Nov-2012
  • Leidėjas: CRC Press Inc
  • ISBN-10: 0815344252
  • ISBN-13: 9780815344254
Kitos knygos pagal šią temą:
"Introduction to Cell Mechanics and Mechanobiology teaches advanced undergraduate students a quantitative understanding of the way cells detect, modify, and respond to the physical properties within the cell environment. Coverage includes the mechanics of single molecule polymers, polymer networks, two-dimensional membranes, whole-cell mechanics, and mechanobiology, as well as primer chapters on solid, fluid, and statistical mechanics"--Provided by publisher.

Introduction to Cell Mechanics and Mechanobiology is designed for a one-semester course in the mechanics of the cell offered to advanced undergraduate and graduate students in biomedical engineering, bioengineering, and mechanical engineering. It teaches a quantitative understanding of the way cells detect, modify, and respond to the physical properties within the cell environment. Coverage includes the mechanics of single molecule polymers, polymer networks, two-dimensional membranes, whole-cell mechanics, and mechanobiology, as well as primer chapters on solid, fluid, and statistical mechanics.

Introduction to Cell Mechanics and Mechanobiology is the first cell mechanics textbook to be geared specifically toward students with diverse backgrounds in engineering and biology.

Recenzijos

"The new text from Jacobs, Huang, and Kwon is fully worthy of the honor of being the first text reviewed in Cellular and Molecular Bioengineering. After reading through the clear, simple, but rigorous text, I can say that their work does far more than just tie together some important notes in a single binding....this text is potentially transformative for the field, much in the way that the famous texts by Beer and Johnston, in the 1960s were transformative for the undergraduate study of mechanics of materials and machines." - Cellular and Molecular Bioengineering

"This excellent book by a group of internationally recognized authors meets a real existing need in contemporary bioengineering education, and it does it effectively and successfully....The book was exactly what I wanted; it was entirely devoted to cell-scale problems, with numerous examples, each providing the relevant engineering or mathematical formulation, at a level suitable for good undergrad BME students....All chapters are comprehensible, logically-built and concise, and each is supported by high-quality graphics which add very much to the clarity of the contents...this book is a 'must-have'." - Computer Methods in Biomechanics and Biomedical Engineering

[ Introduction to Cell Mechanics and Mechanobiology] touches on all the main current techniques used to apply force to cells and to measure the forces exerted by cells.the physics behind them is well explained and derivedThe book sets up a good context for why one would want to study mechanobiology and gives some good tips for designing an experiment, taking into account the fundamental differences in biology and engineering practices. - Yale Journal of Biology and Medicine

Preface v
PART I PRINCIPLES
1(186)
Chapter 1 Cell Mechanics as a Framework
3(16)
1.1 Cell mechanics and human disease
4(4)
Specialized cells in the ear allow you to hear
5(1)
Hemodynamic forces regulate endothelial cells
6(1)
To keep bone healthy, bone cells need mechanical stimulation
6(1)
The cells that line your lungs sense stretch
7(1)
Pathogens can alter cell mechanical properties
7(1)
Other pathogens can use cell mechanical structures to their advantage
7(1)
Cancer cells need to crawl to be metastatic
8(1)
Viruses transfer their cargo into cells they infect
8(1)
1.2 The cell is an applied mechanics grand challenge
8(1)
Computer simulation of cell mechanics requires state-of-the-art approaches
9(1)
1.3 Model problem: micropipette aspiration
9(10)
What is a typical experimental setup for micropipette aspiration?
9(2)
The liquid-drop model is a simple model that can explain some aspiration results
11(1)
The Law of Laplace can be applied to a spherical cell
12(1)
Micropipette aspiration experiments can be analyzed with the Law of Laplace
12(1)
How do we measure surface tension and areal expansion modulus?
13(2)
Why do cells "rush in"?
15(1)
Cells can behave as elastic solids or liquid drops
16(1)
Key Concepts
16(1)
Problems
17(1)
Annotated References
17(2)
Chapter 2 Fundamentals in Cell Biology
19(34)
2.1 Fundamentals in cell and molecular biology
19(11)
Proteins are polymers of amino acids
20(2)
DNA and RNA are polymers of nucleic acids
22(2)
Polysaccharides are polymers of sugars
24(1)
Fatty acids store energy but also form structures
24(1)
Correspondence between DNA-to-RNA-to-protein is the central dogma of modern cell biology
25(2)
Phenotype is the manifestation of genotype
27(1)
Transcriptional regulation is one way that phenotype differs from genotype
28(1)
Cell organelles perform a variety of functions
29(1)
2.2 Receptors are cells' primary chemical sensors
30(6)
Cells communicate by biochemical signals
30(1)
Signaling between cells can occur through many different mechanisms
31(1)
Intracellular signaling occurs via small molecules known as second messengers
32(2)
Large molecule signaling cascades have the potential for more specificity
34(1)
Receptors use several mechanisms to initiate signaling
35(1)
2.3 Experimental biology
36(10)
Optical techniques can display cells clearly
37(1)
Fluorescence visualizes cells with lower background
38(1)
Fluorophores can highlight structures
39(1)
Fluorophores can probe function
40(1)
Atomic force microscopy can elucidate the mechanical behavior of cells
40(1)
Gel electrophoresis can separate molecules
41(1)
Visualizing gel-separated products employs a variety of methods
42(1)
PCR amplifies specific DNA regions exponentially
43(3)
2.4 Experimental design in biology
46(7)
Reductionist experiments are powerful but limited
46(2)
Modern genetics has advanced our ability to study in situ
48(1)
Bioinformatics allows us to use vast amounts of genomic data
49(1)
Systems biology is integration rather than reduction
49(1)
Biomechanics and mechanobiology are integrative
49(1)
Key Concepts
50(1)
Problems
50(2)
Annotated References
52(1)
Chapter 3 Solid Mechanics Primer
53(36)
3.1 Rigid-body mechanics and free-body diagrams
53(2)
What is a "rigid" body?
53(1)
One of the most powerful, but underused, tools is a free-body diagram
53(1)
Identifying the forces is the first step in drawing a free-body diagram
54(1)
Influences are identified by applying the equations of motion
54(1)
Free-body diagrams can be drawn for parts of objects
55(1)
3.2 Mechanics of deformable bodies
55(23)
Rigid-body mechanics is not very useful for analyzing deformable bodies
55(1)
Mechanical stress is analogous to pressure
56(1)
Normal stress is perpendicular to the area of interest
56(1)
Strain represents the normalized change in length of an object to load
57(1)
The stress-strain plot for a material reveals information about its stiffness
57(1)
Stress and pressure are not the same thing, because stress has directionality
58(1)
Shear stress describes stress when forces and areas are perpendicular to each other
59(1)
Shear strain measures deformation resulting from shear stress
59(1)
Torsion in the thin-walled cylinder can be modeled with shear stress relations
60(1)
Torsion of a solid cylinder can be modeled as a torsion of a series of shells of increasing radius
61(1)
Kinematics, equilibrium, and constitutive equations are the foundation of solid mechanics
62(1)
Kinematics in a beam are the strain-displacement relationship
62(2)
Equilibrium in a beam is the stress-moment relationship
64(1)
The constitutive equation is the stress-strain relationship
65(1)
The second moment of inertia is a measure of bending resistance
65(1)
The cantilevered beam can be solved from the general beam equations
66(1)
Buckling loads can be determined from the beam equations
67(1)
Transverse strains occur with axial loading
68(1)
The general continuum equations can be developed from our simple examples
68(1)
Equilibrium implies conditions on stress
69(2)
Kinematics relate strain to displacement
71(2)
The constitutive equation or stress-strain relation characterizes the material behavior
73(1)
Vector notation is a compact way to express equations in continuum mechanics
74(2)
Stress and strain can be expressed as matrices
76(1)
In the principal directions shear stress is zero
76(2)
3.3 Large deformation mechanics
78(5)
The deformation gradient tensor describes large deformations
78(1)
Stretch is another geometrical measure of deformation
79(1)
Large deformation strain can be defined in terms of the deformation gradient
80(2)
The deformation gradient can be decomposed into rotation and stretch components
82(1)
3.4 Structural elements are defined by their shape and loading mode
83(6)
Key Concepts
84(1)
Problems
84(3)
Annotated References
87(2)
Chapter 4 Fluid Mechanics Primer
89(30)
4.1 Fluid statics
89(3)
Hydrostatic pressure results from gravitational forces
89(2)
Hydrostatic pressure is isotropic
91(1)
Resultant forces arising from hydrostatic pressure can be calculated through integration
92(1)
4.2 Newtonian fluids
92(6)
Fluids obey mass conservation
93(1)
Fluid flows can be laminar or turbulent
94(1)
Many laminar flows can be solved analytically
95(2)
Many biological fluids can exhibit non-Newtonian behavior
97(1)
4.3 The Navier-Stokes equations
98(5)
Derivation of the Navier-Stokes equations begins with Newton's second law
99(3)
Constitutive relations and the continuity equation are necessary to make Navier's equations solvable
102(1)
Navier-Stokes equations: putting it all together
103(1)
4.4 Rheological analysis
103(7)
The mechanical behavior of viscoelastic materials can be decomposed into elastic and viscous components
104(2)
Complex moduli can be defined for viscoelastic materials
106(2)
Power laws can be used to model frequency-dependent changes in storage and loss moduli
108(2)
4.5 Dimensional analysis
110(9)
Dimensional analysis requires the determination of base parameters
110(1)
The Buckingham Pi Theorem gives the number of dimensionless parameters that can be formed from base parameters
111(1)
Dimensionless parameters can be found through solving a system of equations
111(2)
Similitude is a practical use of dimensional analysis
113(1)
Dimensional parameters can be used to check analytical expressions
114(1)
Key Concepts
115(1)
Problems
116(1)
Annotated References
117(2)
Chapter 5 Statistical Mechanics Primer
119(32)
Statistical mechanics relies on the use of probabilistic distributions
119(1)
Statistical mechanics can be used to investigate the influence of random molecular forces on mechanical behavior
119(1)
5.1 Internal energy
120(4)
Potential energy can be used to make predictions of mechanical behavior
120(2)
Strain energy is potential energy stored in elastic deformations
122(1)
Equilibrium in continuum mechanics is a problem of strain energy minimization
123(1)
Changes in mechanical state alter internal energy
123(1)
5.2 Entropy
124(4)
Entropy is directly defined within statistical mechanics
124(1)
Microstates, macrostates, and density of states can be exemplified in a three-coin system
124(3)
Microstates, macrostates, and density of states provide insight to macroscopic system behavior
127(1)
Ensembles are collections of microstates sharing a common property
127(1)
Entropy is related to the number of microstates associated with a given macrostate
127(1)
5.3 Free energy
128(3)
Equilibrium behavior for thermodynamic systems can be obtained via free energy minimization
128(1)
Temperature-dependence of end-to-end length in polymers arises out of competition between energy and entropy
129(2)
5.4 Microcanonical ensemble
131(5)
The hairpinned polymer as a non-interacting two-level system
132(1)
A microcanonical ensemble can be used to determine constant energy microstates
132(1)
Entropy can be calculated via combinatorial enumeration of the density of states
133(1)
Entropy is maximal when half the sites contain hairpins
133(1)
S(W) can be used to predict equilibrium behavior
133(1)
The number of hairpins at equilibrium is dependent on temperature
134(1)
Equilibrium obtained via the microcanonical ensemble is identical to that obtained via free energy minimization
135(1)
5.5 Canonical ensemble
136(7)
Canonical ensemble starting from the microcanonical ensemble
136(2)
Probability distribution from the canonical ensemble gives Boltzmann's law
138(1)
The free energy at equilibrium can be found using the partition function
139(2)
The internal energy at equilibrium can be determined using the partition function
141(1)
Using the canonical approach may be preferable for analyzing thermodynamic systems
142(1)
5.6 Random walks
143(8)
A simple random walk can be demonstrated using soccer
143(2)
The diffusion equation can be derived from the random walk
145(2)
Key Concepts
147(1)
Problems
148(1)
Annotated References
149(2)
Chapter 6 Cell Mechanics in the Laboratory
151(36)
6.1 Probing the mechanical behavior of cells through cellular micromanipulation
151(9)
Known forces can be applied to cells through the use of cell-bound beads and an electromagnet
152(1)
The dependence of force on distance from the magnet tip can be calibrated through Stokes' law
152(1)
Magnetic twisting and multiple-pole micromanipulators can apply stresses to many cells simultaneously
153(1)
Optical traps generate forces on particles through transfer of light momentum
153(1)
Ray tracing elucidates the origin of restoring forces in optical tweezers
154(1)
What are the magnitudes of forces in an optical trap?
155(1)
How does optical trapping compare with magnetic micromanipulation?
156(1)
Atomic force microscopy involves the direct probing of objects with a small cantilever
157(1)
Cantilever deflection is detected using a reflected laser beam
157(1)
Scanning and tapping modes can be used to obtain cellular topography
158(1)
A Hertz model can be used to estimate mechanical properties
158(2)
6.2 Measurement of forces produced by cells
160(7)
Traction force microscopy measures the forces exerted by a cell on its underlying surface
160(1)
Cross-correlation can be used for particle tracking
160(3)
Determining the forces that produced a displacement is an inverse problem
163(2)
Microfabricated micropillar arrays can be used to measure traction forces directly
165(1)
Surface modification can help determine how a cell interacts with its surroundings
166(1)
6.3 Applying forces to cells
167(6)
Flow chambers are used for studying cellular responses to fluid shear stress
167(1)
The transition between laminar and turbulent flow is governed by the Reynolds number
168(1)
Parallel plate flow devices can be designed for low Reynolds number shear flow
168(1)
Fully developed flow occurs past the entrance length
169(1)
Cone-and-plate flow can be used to study responses to shear
170(1)
Diverse device designs can be used to study responses to fluid flow
171(1)
Flexible substrates are used for subjecting cells to strain
172(1)
Confined uniaxial stretching can lead to multiaxial cellular deformations
172(1)
Cylindrically symmetric deformations generate uniform biaxial stretch
172(1)
6.4 Analysis of deformation
173(8)
Viscoelastic behavior in micromanipulation experiments can be parameterized through spring-dashpot models
173(1)
Combinations of springs and dashpots can be used to model viscoelastic behavior
174(3)
Microscopy techniques can be adapted to visualize cells subject to mechanical loading
177(1)
Cellular deformations can be inferred from image sequences through image correlation-based approaches
178(1)
Intracellular strains can be computed from displacement fields
179(2)
6.5 Blinding and controls
181(6)
Key Concepts
182(1)
Problems
183(1)
Annotated References
184(3)
PART II PRACTICES
187(150)
Chapter 7 Mechanics of Cellular Polymers
189(34)
7.1 Biopolymer structure
189(5)
Microfilaments are polymers composed of actin monomers
189(1)
F-actin polymerization is influenced by the molecular characteristics of G-actin
189(2)
Microtubules are polymers composed of tubulin dimers
191(1)
MT polymerization is affected by polarity and GTP/GDP binding
191(1)
Intermediate filaments are polymers with a diverse range in composition
192(1)
Intermediate filaments possess a coiled-coil structure
192(1)
Intermediate filaments have diverse functions in cells
192(2)
7.2 Polymerization kinetics
194(4)
Actin and MT polymerization can be modeled as a bimolecular reaction
195(1)
The critical concentration is the only concentration at which the polymer does not change length
195(1)
Polarity leads to different kinetics on each end
196(1)
Polymerization kinetics are affected by ATP/ADP in actin and GTP/GDP binding in tubulin
197(1)
Subunit polarity and ATP hydrolysis lead to polymer treadmilling
197(1)
7.3 Persistence length
198(5)
Persistence length gives a measure of flexibility in a thermally fluctuating polymer
198(2)
Persistence length is related to flexural rigidity for an elastic beam
200(2)
Polymers can be classified as stiff, flexible, or semi-flexible by the persistence length
202(1)
7.4 Ideal chain
203(7)
The ideal chain is a polymer model for flexible polymers
203(1)
The probability for the chain to have different end-to-end lengths can be determined from the random walk
204(3)
The free energy of the ideal chain can be computed from its probability distribution function
207(1)
Force is the gradient of free energy in thermodynamic systems
208(1)
The behavior of polymers tends toward that of an ideal chain in the limit of long contour length
209(1)
7.5 Freely jointed chain (FJC)
210(4)
The FJC model places a limit on polymer extension
210(1)
The force-displacement relation for the FJC can be found by the canonical ensemble
211(2)
Differences between the ideal chain and the FJC emerge at large forces
213(1)
7.6 Worm-like chain (WLC)
214(9)
The WLC incorporates energetic effects of bending
214(2)
The force-displacement relation for the WLC can be found by the canonical ensemble
216(1)
Differences in the WLC and FJC emerge when they are fitted to experimental data for DNA
217(1)
Persistence length is related to Kuhn length
218(1)
Key Concepts
219(1)
Problems
220(1)
Annotated References
221(2)
Chapter 8 Polymer Networks and the Cytoskeleton
223(26)
8.1 Polymer networks
223(2)
Polymer networks have many degrees of freedom
223(1)
Effective continuums can be used to model polymer networks
223(2)
8.2 Scaling approaches
225(4)
Cellular solids theory implies scaling relationships between effective mechanical properties and network volume fraction
225(1)
Bending-dominated deformation results in a nonlinear scaling of the elastic modulus with volume fraction
225(2)
Deformation dominated by axial strain results in a linear scaling of the elastic modulus with volume fraction
227(1)
The stiffness of tensegrity structures scales linearly with member prestress
228(1)
8.3 Affine networks
229(7)
Affine deformations assume the filaments deform as if they are embedded in a continuum
229(1)
Flexible polymer networks can be modeled using rubber elasticity
230(3)
Anisotropic affine networks can be modeled using strain energy approaches
233(1)
Elastic moduli can be computed from strain energy density
233(2)
Elastic moduli of affine anisotropic networks can be calculated from appropriate strain energy density and angular distribution functions
235(1)
8.4 Biomechanical function and cytoskeletal structure
236(13)
Filopodia are cross-linked bundles of actin filaments involved in cell motility
236(1)
Actin filaments within filopodia can be modeled as elastic beams undergoing buckling
236(2)
The membrane imparts force on the ends of filopodia
238(1)
The maximum filopodium length before buckling in the absence of cross-linking is shorter than what is observed in vivo
238(1)
Cross-linking extends the maximum length before buckling
238(1)
Is the structure of the red blood cell's cytoskeleton functionally advantageous?
239(1)
Thin structures can be analyzed using the two-dimensional shear modulus and the areal strain energy density
240(2)
Sixfold connectivity facilitates resistance to shear
242(3)
Fourfold connectivity does not sustain shear as well as sixfold
245(1)
Key Concepts
246(1)
Problems
246(1)
Annotated References
247(2)
Chapter 9 Mechanics of the Cell Membrane
249(30)
9.1 Membrane biology
249(3)
Water is a polar molecule
249(1)
Cellular membranes form by interacting with water
250(1)
The saturation of the lipid tails determines some properties of the membrane
251(1)
The cell membrane distinguishes inside and outside
251(1)
The fluid mosaic model of the cell membrane describes its physical properties
252(1)
9.2 Phospholipid self-assembly
252(3)
Critical micelle concentration depends on amphiphile molecular structure
253(1)
Aggregate shape can be understood from packing constraints
254(1)
9.3 Membrane barrier function
255(4)
The diffusion equations relate concentration to flux per unit area
256(1)
Fick's second law shows how spatial concentration changes as a function of time
257(2)
9.4 Membrane mechanics I: In-plane shear and tension
259(8)
Thin structures such as membranes can be treated as plates or shells
260(1)
Kinematic assumptions help describe deformations
260(2)
A constitutive model describes material behavior
262(1)
The equilibrium condition simplifies for in-plane tension and shear
262(3)
Equilibrium simplifies in the case of shear alone
265(1)
Equilibrium simplifies in the case of equibiaxial tension
266(1)
Areal strain can be a measure of biaxial deformation
267(1)
9.5 Membrane mechanics II: Bending
267(5)
In bending the kinematics are governed by membrane rotation
268(1)
Linear elastic behavior is assumed for the constitutive model
269(1)
Equilibrium places conditions on resultant forces and moments
269(3)
Which dominates, tension or bending?
272(1)
9.6 Measurement of bending rigidity
272(7)
Membranes undergo thermal undulations similar to polymers
272(1)
Membranes straighten out with tension
273(2)
Key Concepts
275(1)
Problems
275(2)
Annotated References
277(2)
Chapter 10 Adhesion, Migration, and Contraction
279(32)
10.1 Adhesion
279(13)
Cells can form adhesions with the substrate
279(2)
Fluid shear can be used to measure adhesion strength indirectly
281(1)
Detachment forces can be measured through direct cellular manipulation
281(1)
The surface tension/liquid-drop model can be used to describe simple adhesion
282(2)
Adhesive peeling can be modeled using continuum mechanics
284(2)
Adhesion energy density can be obtained through consideration of strain energy
286(1)
Targeting of white blood cells during inflammation involves the formation of transient and stable intercellular adhesions
287(1)
Kinetics of receptor-ligand binding can be described with the law of mass action
288(2)
The Bell model describes the effect of force on dissociation rate
290(1)
Shear enhances neutrophil adhesion---up to a point
291(1)
10.2 Migration
292(6)
Cell migration can be studied in vitro and in vivo
292(1)
Cell locomotion occurs in distinct steps
292(1)
Protrusion is driven by actin polymerization
293(1)
Actin polymerization at the leading edge: involvement of Brownian motion?
294(1)
Cell motion can be directed by external cues
295(1)
Cell migration can be characterized by speed and persistence time
296(2)
Directional bias during cell migration can be obtained from cell trajectories
298(1)
10.3 Contraction
298(13)
Muscle cells are specialized cells for contractile force generation
299(1)
Studying cardiac function gave early insight into muscle function
299(1)
The skeletal muscle system generates skeletal forces for ambulation and mobility
300(1)
The Hill equation describes the relationship between muscle force and velocity
300(1)
Non-muscle cells can generate contractile forces within stress fibers
301(1)
Stress fiber pre-strain can be measured from buckling behavior
302(1)
Myosin cross-bridges generate sliding forces within actin bundles
303(1)
Myosin molecules work together to produce sliding
304(1)
The power-stroke model is a mechanical model of actomyosin interactions
305(3)
Key Concepts
308(1)
Problems
308(2)
Annotated References
310(1)
Chapter 11 Cellular Mechanotransduction
311(26)
11.1 Mechanical signals
311(7)
Vascular endothelium experiences blood-flow-mediated shear stress
312(1)
Lumen-lining epithelial cells are subjected to fluid flow
313(1)
Fluid flow occurs in musculoskeletal tissues
313(2)
Fluid flow during embryonic development regulates the establishment of left-right asymmetry
315(1)
Strain and matrix deformation function as regulatory signals
316(1)
Smooth muscle cells and cardiac myocytes are subjected to strain in the cardiovascular system
316(1)
Cellular strain in the musculoskeletal system is dependent on tissue stiffness
317(1)
The lung and bladder are hollow elastic organs that are regulated by stretch
317(1)
Cells can respond to hydrostatic pressure
317(1)
11.2 Mechanosensing organelles and structures
318(8)
Stereocilia are the mechanosensors of the ear
319(1)
Specialized structures are used in touch sensation
320(1)
Primary cilia are nearly ubiquitous, but functionally mysterious
320(1)
Cellular adhesions can sense as well as transmit force
321(1)
The cytoskeleton can sense mechanical loads
322(1)
Mechanosensing can involve the glycoproteins covering the cell
323(1)
The cell membrane is ideally suited to sense mechanical loads
324(1)
Lipid rafts affect the behavior of proteins within the membrane
325(1)
11.3 Initiation of intracellular signaling
326(4)
Ion channels can be mechanosensitive
326(1)
Hydrophobic mismatches allow the mechanical gating of membrane channels
327(1)
Mechanical forces can expose cryptic binding sites
328(1)
Bell's equation describes protein unfolding kinetics
329(1)
Molecular conformation changes can be detected fluorescently
329(1)
11.4 Alteration of cellular function
330(7)
Intracellular calcium increases in response to mechanical stress
330(1)
Nitric oxide, inositol triphosphate, and cyclic AMP, like Ca2+, are second messenger molecules implicated in mechanosensation
331(1)
Mitogen-activated protein kinase activity is altered after exposure to mechanical stimulation
332(1)
Mechanically stimulated cells exhibit prostanglandin release
332(1)
Mechanical forces can induce morphological changes in cells
332(1)
Mechanical stimulation can induce extracellular matrix remodeling
333(1)
Cell viability and apoptosis are altered by different processes
334(1)
Key Concepts
334(1)
Problems
334(1)
Annotated References
335(2)
Abbreviations 337(1)
List of variables and units 338(5)
Index 343
Christopher R. Jacobs, Hayden Huang, Ronald Y. Kwon