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What Physicists can do in Biology ?

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Title: What Physicists can do in Biology ?


1
  • What Physicists can do in Biology ?

Pik-Yin Lai ??? Graduate Institute of BioPhysics
Center for Complex Systems, National Central
University, Chung-Li, Taiwan 320 Email
pylai_at_phy.ncu.edu.tw
http//www.phy.ncu.edu.tw/ibp/
2
Physics is vital in breakthrough in life sciences
  • Breakthrough in physical instrument optical
    microscope (Hooke, 1665), amplifier, X-ray,
    electron microscope, MRI, SPM, mass spectrometer,
    Single molecule microscopy,.
  • Nobel laureates in physiology/medicine
  • that were physicists/had physics training
  • Georg von Békésy (physical mechanism of the
    cochlea, 1961)
  • Francis Crick (DNA, 1962)
  • Alan Hodgkin (nerve cell ,1963)
  • Haldan Hartline (visual processes in the eye,
    1967)
  • Max Delbrück (bacteriophage l, 1969)
  • Rosalyn Yalow (radio-immunoassays of peptide
    hormones, 1977)
  • Werner Arber (restriction enzymes , 1978)
  • Erwin Neher (single ion channels in cells ,1991)
  • Peter Mansfield (NMR, 2003)
  • Others Schroedinger, Cooper,

3
What is Biophysics? Biophysical Society defines
as "that branch of knowledge that applies the
principles of physics and chemistry and the
methods of mathematical analysis and computer
modeling to understand how the mechanisms of
biological systems work .
  • Why BioPhysics ?
  • Material Nature of Bio-substances affect
    Biological properties. (Evolution made use of the
    physical properties of bio-materials)
  • Physical principles Laws holds from microscopic
    level ? macroscopic level
  • Traditional Biology is descriptive,
    non-quantitative

4
Why BioPhysics ?
  • Physics is universal.
  • Rise of molecular biology DNA, RNA, protein,
    ATP are universal in all living matters
  • Universality in Central Dogma DNA?RNA?protein?Bio
    logical functions
  • New, interesting, exciting useful.
  • Lots of unsolved important problems.
  • Techniques Methodology in physics can probe the
    fundamental principles in bio-systems of a wide
    spectrum of scales in a quantitative way.

5
Era of modern Biophysics
  • Length Scales
  • nm ? mm ? mm ? cm ?
    m ? km
  • DNA,RNA,protein, intracellular, virus, bacteria,
    Intercellular, collective motion, insects,
    animals/plants, migration
  • Time Scales
  • fs ? ps ? ms ?
    ms ? s
  • e transfer,H-bonding,water
    DNA,RNA,protein rearrangement ,
    protein folding DNA transcription
  • ? hr ? day ? year ? Byr
  • cell division Earth organisms
    , animal migration
    evolution
  • Knowledge Interdisciplinary ???????
  • Mathematics??Physics??Chemistry??Biology??Medical
  • BioPhysics p Biology Physics
  • Biophysicist is a TRUE Scientist ! Explore to the
    maximum freedom for doing science!
  • ?????????????? !

6
Elementary particles of Life
  • Universal molecules DNA, RNA, protein, ATP
  • Interactions giving rise to bio-process Central
    Dogma DNA?RNA?protein?Biological functions
  • Nanomachines molecular motors, FoF1 ATPase..
  • How physical and chemical interactions lead to
    complex functions in cells ?
  • Gene networks, protein networks .

7
Cell Nucleus Chromosome Chromatin
Double-stranded biopolymer, 2 sugar-phosphate
chains (backbones) twisted around each other
forming a RH (B-form) double helix.
8
base pairs A-T C-G
9
Play (Torture) with DNA
  • DNA stretching, elasticity
  • DNA drag reduction
  • DNA thermo-phoresis
  • DNA condensation
  • DNA under external fields
  • DNA photolysis
  • DNA ratchet motion
  • ..

10
Mechanics/Elasticity of Single Bio-molecules
  • To investigate the conformational changes in
    single bio-molecules, may provide significant
    insight into how the molecule functions.
  • How forces at the molecular level of the order of
    pN underlie the varied chemistries and molecular
    biology of genetic materials?

11
DNA transcription by RNA polymerase
Bustemante et al, Nature 404, 103 (2000)
T7 DNA polymerase
  • effect of template tension polymerase activity
  • Pausing arrest during polymerase
  • Mechanism of polymerization kinetics
  • Tuning rate of DNA replication with external
    stresses

12
Physicists view of the DNA chain
Double helix stabilized by H-bonds (bp
interactions) Polymer of persistence length 50nm
under low force (lt10pN)Entropic elasticity.
Complicated at high forces cooperative
behavior Elasticity of dsDNA affect its structure
and can influence the biological functions
13
Worm-like chain model (stiff chain)
t1 inextensible single strand
Rod-like chain model (twisted stiff chain)

Marko et al., Science 256, 506, 1599
(94)
Bouchiat et
al., PRL 80, 1556 (98)
Fitting from expts A53nm
Can account for some supercoiling properties of
DNA Phenomenological model, no description of
underlying mechanism.
14
ZZO model for double-stranded DNA H. Zhou, Z.
Yang, Z-.c. Ou-Yang, PRL 82, 4560
(99) jfolding angle
15
B-form to S-form Transition under a Stretching
force
Lai Zhou, J. Chem. Physics 118, 11189 (2003)
  • Force Experiments
  • Stretching a single end-grafted DNA

  • S-form

  • B-form
  • Abrupt increase of 1.7 times in contour length of
    dsDNA near 65pN.
  • Thermal fluctuations unimportant near onset of
    transition.

16
First order phase transition at bt
First-order elongationStretch by untwisting
b0.073 b0.075
  • Untwisting upon stretching
  • Untwist per contour length from B?S, DTw/Lo-100
    deg. /nm
  • Almost completely unwound 34deg./bp
  • Torque 60 pN nm

17
  • Untwisting upon stretching
  • Untwist per contour length from B?S, DTw/Lo-100
    deg. /nm
  • Almost completely unwound 34deg./bp
  • Torque 60 pN nm

18
Direct observation of DNA rotation during
transcription by Escherichia coli RNA polymerase
Harada et al., Nature 409 , 113 (2001)
  • DNA motor untwisting gives rise to a torque
  • B?S transition provides a switch for such a motor.

G gt 5 pN nm from hydrodynamic drag estimate
19
DNA condensation packing
Complex competition of DNA elasticity, charge
interactions, volume interactions, solvent
effects..
20
Single-? DNA with SPD20mM jamming when
entering in 0.7 gel
DNA condensed by spermidine
21
DNA under external drive
DNA ratchet motion under AC electric field
22
Simple to Complex emerging properties in
bio-systems Couplings, interactions,
nonlinearity, feedback? collective behavior
(I) cardiac cells ? Heart
Synchronized beating of myocytes
Cardiac myocyte
spiral waves
Coupled oscillator networks of Cardic cells
nonlinear dynamics, spiral waves, spatio-temporal
patterns
23
Simple to Complex emerging properties in
bio-systems Couplings, interactions,
nonlinearity, feedback? collective behavior
(II) Single cell/organism?collective motion
Dictyostelium discodium
24
emerging properties in bio-systems (III) Neurons
? Network ? Brain
Network connectionsynapses
Hodgkin-Huxley Model (1952)
Neuro/cognitive science
Synchronized Firing
  • Complex behavior/function determined by neuron
    connections.
  • Complex neuronal Network
  • A single neuron in vertebrate cortex connects
    10000 neurons
  • Mammalian brain contains gt 1010 interconnected
    neurons
  • Signal information convey via neuronal
    connectionscoding

25
Neuron Action Potential
Spike 1 ms, 100mV Propagates along the axon
to the junction of another neuron ---synapse
26
Hodgkin-Huxley model (1952)
Expts. On giant axon of squid time voltage
dependent Na, K ion channels leakage current
                                                                    
                                                         
I(t) IC(t)    Ik(t)
    Ik gNa m3h (u - ENa) gK n4 (u - EK)
gL (u - EL).
gating variables a, b empirical functions
 (u) (1 - m) -    (u) m  
 (u) (1 - n) -    (u) n  
  (u) (1 - h) -    (u) h
27
Schematic procedures in preparing the sample of
neuron cells from celebral cortex embryonic rats
Experiments
Embryos of Wistar rats E17E18 breeding days
28
Growth of axon connection to form a network
Typical confocal microscope pictures of cultures
used in our experiments. Red anti-MAP2
(neuronal marker) Green, anti-GFAP (glia
marker). Black white phase contrast image
Merge of the three images above.
29
Optical recording of fluorescence signals from
firing network
Firing of the network is monitored by the changes
in intracellular Ca 2 which is indicated by
the fluorescence probe (Oregon Green).
Non-synchronous Firing in early stage of growth
30
Synchronized Firing of Neuronal Network Culture
Spontaneous firing of the cultures are induced by
reducing Mg2 in the Buffered salt solution
Firing ? the changes in intracellular Ca 2
indicated by the fluorescence probe.
Synchronized Firing at later stage of growth
31
Time dependence of the SF frequency for a growing
network
Phys. Rev. Lett. 93 088101 (2004) PRE (2006)
  • Critical age for SF, tc
  • SF freq. grows with time
  • ffcfo log(t/tc)

tc
32
Onset time for SF as a function ofcell density
  • Critical age for SF
  • ffcfo log(t/tc)
  • f increases with the effective connections
  • fc is indep. of r

33
Synchronous firing frequency f mean
connectivity k
  • Well fitted by taking f a b k, with a small.
  • f k

Use synchronized firing freq. to probe the Growth
behavior of the network
34
Manipulating/attacking the neuronal network
Tailoring network regions by UV lasers
Network attack random or target attack Network
robustness Regenerative Re-routing behavior
Optical Tweezers
35
Biological implications
  • Active growth in early stage, retarded once goal
    is achieved.
  • Slowing down to maintain a long time span for
    function homeostasis
  • Continuing fast growth used up energy
  • Too much connections may exceed information
    capacity for a single neuron

36
Many Spikes in one pulse Bursting
37
Electrophysiology measurement (whole-cell
recording, current-clamp)
Inter-burst synchronized , but intra-burst is NOT
synchronized
38
  • What Physicists can do in Biology ?
  • a lot of interesting and unexplored science
  • from molecules to collective behavior of
    organisms

39
Acknowlegements
  • Collaborators
  • C.K. Chan (???) (Academa Sinica)
  • L.C. Jia ???(Yuanpei Univ.)
  • Z.C. Zhou ???(Tamkang U.)
  • Students Y.S. Chou, H. H. Chang, C. R. Han, S.F.
    Hsu
  • Postdocs E. Avalos, J. Benoit
  • Support
  • National Science Council, Taiwan
  • Brain Research Center, U. Systems of Taiwan
  • Academia Sinica, Taiwan

The End
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