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Isotropic: same in all directions

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Isotropic: same in all directions Neurofilaments Cross-linked In frog axon Linker proteins for actin Particle Tracking in fibroblasts Lecture 5 Tracking particles ... – PowerPoint PPT presentation

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Title: Isotropic: same in all directions


1
Isotropic same in all directions
Neurofilaments Cross-linked In frog axon
2
Linker proteins for actin
3
Particle Tracking in fibroblastsLecture 5
4
Tracking particles Regional stiffness
5
  • 3- Think of a balloon with stiff meridional
    bands- networks can stretch more easily along the
    axis with less stiff ropes.
  • 4 hoop stress versus axial stress

6
Cylindrical Stresses
7
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8
Buckling Bending
20 cm
10 cm
9
Tension Field Theory
Membrane
10
Coupling Mechano-/Biochemical-/Cellular-
11
Inside a Blood Vessel
Endothelial cells with Nucleus bulging out
Blood flow
10 microns
12
Cells- fluid or solid?
  • Micropipet aspiration comparison between ECs and
    chondrocytes
  • Comparison between EC cell nucleus
  • Stiffness following spreading or adapting to
    flow.
  • ECs in flow will minimize force on nucleus
  • Enucleus 9 Ecytoplasm

13
Applying global strains to Nucleus1
Round
Spread
Compression relaxation done quickly to measure
passive props while avoiding adaptation. No
hysteresis or plastic behaviour seen in spread
cells and nuclei. 1. Caille, N J. Biomech, 2002
Nucleus
14
  • Material properties, not inhomogeneity, explains
  • The non-linear behaviour

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16
Slow cell squishing
17
FEM of compression
18
Bone Adaptation
  • Most bones experience 1000s of loads daily
  • Bone cells must detect mech signals in situ and
    adjust bone architecture appropriately.
  • Sensor cells Osteocytes Effector cells
    Osteoblasts, osteoclasts
  • Signalling molecules PGs, NO
  • Responses bone formation/resorption

19
  • Bending forces not only cause deformation of
    osteocytes, but generate pressure gradients that
    drive fluid flow through the canalicular spaces.
    Bending causes compressive stress on one side of
    the bone and tensile stresses on the other. This
    leads to a pressure gradient in the interstitial
    fluids that drives fluid flow from regions of
    compression to tension. Fluid flows through the
    canaliculae and across the osteocytes, providing
    nutrients and causing flow-related shear stresses
    on the cell membranes. The fluid flow also
    creates an electric potential called a streaming
    potential

20
  • Strain detected by mechanoreceptors or by CAMs. G
    protein in membrane causes Ca and other 2nd
    messengers.

21
  • osteocytes (Oc) and bone lining cells (BLC)
    detect mechanical signals and communicate those
    signals to the bone surface. Soluble mediators,
    which include
  • prostaglandins (PGs) and nitric oxide (NO), are
    released and cause the recruitment and/or
    differentiation of osteoblasts (Ob) from
    proliferating and nonproliferating
    osteoprogenitor cells.

22
  • The error function, i.e., the daily loading
    stimulus (S)
  • minus the normal loading pattern (F So), drives
    bone adaptation. Abnormally low values of the
    error function cause increased osteoclast
    activity on bone remodeling surfaces, while
    abnormally high values cause increased osteoblast
    activity on bone modeling surfaces

23
  • Rats jumping various of numbers of times per day
    showed that five jumps per day were sufficient
    to increase bone mass, but increasing numbers of
    jumps gave diminishing returns with respect to
    bone mass. These data very closely fit the
    mathematical relationship proposed in Eq. 1

24
  • G proteind mechanochemical signal transducer

25
  • Focal adhesions by Integrin and associated
    proteins.

26
Load type affects adaptation
  • Long bones are loaded mostly in bending
  • Strain _at_ neutral axis is small, and increases
    away from axis
  • Loading that changes the neutral axis, changes
    bone formation 1
  • 1. Turner, CH J. Orthop. Sci, 1998.

27
  • MC3T3-E1 osteoblasts subjected to fluid shear
    (12dynes/cm2) for 60min undergo dramatic
    reorganization of the actin
  • cytoskeleton. A Control cells not subjected to
    flow have poorly organized stress fibers labeled
    with Texas red-phalloidin.
  • B Cells subjected to fluid flow for 60 min
    develop prominent stress fibers labeled with
    Texas red-phalloidin that are aligned roughly
    parallel to each other. C and D Control cells not
    subjected to fluid shear which have poorly
    organized stress fibers

28
Adaptation Cascade
  • Transduction Biochemical transmission.effecto
    r cell..tissue
  • Ion channels.Ca,NOS, COX, PGs, G protein.Obs,
    Ocs..trabeculae
  • It is an error driven feedback system
  • Driven more by infrequent abnormal strains than
    by normal strains encountered during predominant
    activity1
  • 1. Layton, LE The success and failure of the
    adaptive response to functional loading-bearing
    in averting bone fracture Bone131992

29
Quantifying bone adaptation
30
Bone Loading Waveforms
31
Resonant Stimuli for Bone
  • Loading frequencies near 20 Hz
  • Vibration 1
  • Error Driven
  • 1. Rubin, C.

32
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33
Mechano - regulation
  • Growth, proliferation, protein synthesis, gene
    expression, homeostasis.
  • Transduction process- how?
  • Single cells do not provide enough material.
  • MTC can perturb 30,000 cells and is limited.
  • MTS is more versatile- more cells, longer
    periods, varied waveforms..

34
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35
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37
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38
Markov Chains
  • A dynamic model describing random movement over
    time of some activity
  • Future state can be predicted based on current
    probability and the transition matrix

39
Sliding filamentds
40
Dynamic equilibrium
41
Sliding Filament Model
Ratchet
For A-M, vo 0.5 um/s
42
Harmonic motion (undamped)
Gel motion follows simple rules Model will
predict dynamic and Static equilibrium.
Natural Frequency
43
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44
Transition Probabilities
Todays Game Outcome
Win Lose
Win 3/4 1/2
Lose 1/4 1/2
Sum 1 1
Need a P for Todays game
Tomorrows Game Outcome
45
Grades Transition Matrix
This Semester
Grade Tendencies
To predict future Start with now What are the
grade probabilities for this semester?
Next Semester
46
Markov Chain
Intial Probability Set independently
47
Computing Markov Chains
A is the transition probability A .75 .5
.25 .5 P is starting Probability P.1
.9 for i 120 P(,i1)AP(,i) end
48
Control System, I.e. climate control
49
Finding G
50
Temperature Control
51
Example Control System
-
3
u
52
Homework
  • 1. Assuming the buckling force calculated in 6,
    compare the energy required to bend the
    microtubule as in 5. (State assumptions).
  • 2. Find evidence (for or against) that the
    tension field theory applies to endothelial cell
    regulation.
  • 3. Make a model of bone adaptation. What kind of
    function fits the data?
  • 4. Make a model of A-M sliding filaments.
  • 5. Based on bending forces of microtubules,
    calculate how many would be present in the EC, in
    the experiments shown (make simplifying
    assumptions).

53
Bibliography
  • 1.      Hamill OP, Martinac B. Molecular basis of
    mechanotransduction in living cells. Physiol Rev
    81 2001 (2)685-740.
  • 2.      Lang F, Busch, GL, Ritter M, Volkl H,
    Waldegger S, Gulbins E, Haussinger D. Functional
    significance of cell volume regulatory
    mechanisms. Physiol. Rev 1998 78247-273.
  • 3.      Zhu C, Bao G, Wang N. Cell mechanics
    Mechanical response, cell adhesion, and molecular
    deformation. Annu Rev Biomed Eng 2000
    2189-226.
  • 4.      Turner CH. Mechanical transduction
    mechanisms in bone. J Bone Miner Res 2000 15
    (4)105.
  • Tavi P, Laine M, Weckstrom M, Ruskoaho H. Cardiac
    mechanotransduction from sensing to disease and
    treatment. Trends in Pharmacological Sciences
    2001 22 (5)254-260.

54
Bibliography
  • 6.      Craelius W. Stretch activation of rat
    cardiac myocytes. Experimental Physiology 1993
    78 (3)411-423.
  • 7.      Ingber DE and Folkman J. How does
    extracellular matrix control capillary
    morphogenesis? Cell 1989 58803-805.
  • 8.      Craelius, W, Huang, CJ, Palant, CE,
    Guber H Mechanotransduction of swelling by rat
    mesangial cells, Mechanotransduction 2000,
    Engineering and Biological Materials and
    Structures, ENPC, France, 13-20, 2000.
  • 9.      Craelius, W, Huang, CJ, Guber, H,
    Palant, CE Rheological behaviour of rat
    mesangial cells during swelling in vitro,
    Biorheology 35397-405, 1998.
  • 10.  Pedersen SF, Hoffmann EK, Mills JW. The
    cytoskeleton and cell volume regulation. Comp
    Biochem Phys A 2001 130 (3)385-399, Sp Iss SI.
  • 11.  Lange K. Regulation of cell volume via
    microvillar ion channels. J Cell Phys 2000 185
    (1) 21-35.
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