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Martin Howard

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Title: Martin Howard


1
Systems Biology A Personal Introduction
Dept of Systems Biology John Innes Centre Norwich
  • Martin Howard

2
Systems Biology
  • How are we to define systems biology?
  • Use of high throughput (omics) technologies?
  • Another phrase for theoretical biology?
  • Set of approaches and a way of thinking
    rather than a single definition
  • Global investigation of how the components of
    a biological system add up to generate its
    behaviour
  • Focus mainly on subsystem properties that are
    critical for overall function of system
  • Systems Biology approach can be theoretical
    and/or experimental

3
Systems Biology
  • Good for physicists
  • - once weve learnt the biology (very important
    to do this properly!) this is what weve been
    trained to do
  • If approach is theoretical, systems biology
    modelling must be predictive!
  • Ideally modelling makes predictions that are
    tested experimentally. New data then informs the
    next round of modelling a virtuous (though
    rarely achieved) cycle
  • Precise definition of systems biology probably
    not very important
  • No one can agree on a definition anyway!
  • Probably best to proceed by giving examples

4
Modelling the Cell Cycle
  • Cell Cycle is the process where a cell doubles
    its genetic content and distributes it to 2
    daughter cells
  • Subdivided into phases G1 S G2
    M G1 .

Mitosis and Cell Division
DNA replication
Growth
Growth
  • Gap phases provide time for the cell to monitor
    extrernal/internal environment to ensure that
    conditions are right for S or M phases to begin
    cell checkpoints
  • Individual cell cycle times in a population of
    cells equal to the mass doubling time of the
    population

5
Modelling the Cell Cycle
  • How does the cell regulate the progression
    through these phases?
  • Complicated regulatory network main components
    cyclin dependent kinases (Cdk) which activate
    cell cycle steps by phosphorylation
  • Cdk's are active only if they are bound by a
    cyclin regulatory molecule
  • Its the dynamics of these cyclins that drive
    cell cycle
  • Most of major steps of cell cycle known to be
    universal in eukaryotic cells

6
Very Cut-Down Cell Cycle Network!
7
Mathematical Model
  • Model dynamics using coupled sets of ODEs
  • Note the large number of parameters. These need
    to be fitted (or guessed!)
  • Probably the biggest problem with large scale
    systems biology models is how to determine the
    parameters

8
How Does a Mathematical Analysis Help?
  • Use bifurcation theory to examine properties of
    system
  • Examine level of Cdk1-CycB as function of cell
    size

M Cdk1-CycB rise drives cell into mitosis while
subsequent fall is signal for cell
division Tyson, Chen, Novak Curr Opin Cell Biol
15 221-231 (2003)
G2/S
G1
9
How is DNA Properly Distributed to Daughter Cells?
  • Elaborate apparatus distributes one copy of each
    chromosome to each daughter cell mitotic spindle
    made up of microtubules and molecular motors
  • Microtubules attach to specific location on
    chromosome kinetochore
  • When all kinetochores are attached, spindle then
    pulls chromosomes apart

Musacchio Salmon Nature Rev Mol Cell Biol 8
379-393 (2007)
10
Spindle Assembly Checkpoint
  • If even a single kinetochore is not attached to
    spindle microtubules then DNA segregation is
    postponed
  • Spindle Assembly Checkpoint monitors
    microtubule-kinetochore attachment
  • Checkpoint failure leads to improper chromosome
    segregation leading to aneuploidy
  • How can such a small object (an unattached
    kinetochore, radius 0.2µm) reliably control
    such an important cell signalling pathway?
  • Presumably signal must be amplified
  • but checkpoint must still be able to switch
    on/off within minutes
  • Need to understand dynamics of kinetochore
    signalling!

11
Dual checkpoint mechanisms
Sear Howard, PNAS 103 16758-16763 (2006)
Sequestration of 106 copies of Cdc20 by Mad2/BubR1
  • Example of systems biology modelling where
    almost all the details are stripped out
  • Only basic principle is modelled to see whether
    it is feasible

12
Bacterial Chemotaxis
  • How do bacteria move towards a source of food?
  • Motion achieved through flagellum and motor

Berg Physics Today, Jan 2000
13
Bacterial Chemotaxis
  • If motor turns anticlockwise flagella filaments
    rotate in parallel in a bundle generating a run
  • If motor turns clockwise flagella filaments
    work independently and bacteria moves erratically
    with little net displacement generating a tumble
  • If bacterium is moving up a concentration
    gradient of nutrients
  • length of time spent running increased
  • probability of tumbling reduced
  • Biased random walk!
  • But how to measure/remember the local nutrient
    concentration?

14
Bacterial Chemotaxis
  • Specialised receptors in the membrane detect
    nutrient concentrations localised at cell poles
  • Transmit information based on phosphorylation
    signal that affects flagella rotation
  • But nutrient concentrations can be very low
    signal needs to be amplified
  • Each receptor can exist in one of two
    conformations, one of which is favoured by the
    binding of a ligand
  • Receptor conformations also affected by the
    conformations of the four nearest neighbours in
    the lattice
  • Ising model! Close to criticality, amplification!

Duke Bray PNAS 96 10104-10108 (1999)
15
Bacterial Chemotaxis Network
  • Che proteins are crucially invovled in the
    chemotaxis signal transduction network
  • In addition to detection/signaling a second
    system is at work adaptation
  • Functions through methylation of receptors
  • Occupancy of binding site reflects current
    conditions
  • Level of methylation reflects past conditions
    (memory!)
  • Cell can respond appropriately by comparing
    these two indicators

16
Bacterial Chemotaxis Network
  • Chemotaxis network is quite complex!
  • Many kinetic constants (as usual), but added
    problem of spatial dynamics (diffusion)
  • Use available experimental measurements, plus
    models heavily constrained by knock-out mutants
  • Packages available to simulate the system e.g.
    Smoldyn

17
Accurate Cell Division Min Oscillations
MinD Oscillations Hale, Meinhardt, de Boer EMBO
J. 20 1563 (2001)
  • How does E. coli divide at its middle?!
  • MinE stimulates coherent pole to pole
    oscillations of MinCDE
  • Centre of cell marked by minimum MinC/MinD
    concentration

18
Model of Min Dynamics
MinD
MinE
  • Dynamic instability!
  • Systems Biology modelling is essential for
    understanding the dynamics
  • Self-organised patterning generated by only a
    few basic properties of Min proteins

Tostevin Howard, Phys. Biol. 3 1-12 (2006)
Average density for MinD
19
Systems Biology Conclusion
  • Just scratched the surface of the field!
  • Tremendous opportunities for physicists
    (particularly those with stat mech background)
  • provided we take the trouble to learn the
    biology
  • BUT choose your problems with great care
  • - very easy to become too technical
  • - or too bogged down in detail
  • As the field is so young, try to do the simple
    things first!

20
Position Available!
3 year postdoc position available at The John
Innes Centre, Norwich to work on biological
physics/systems biology If interested send me a
mail martin.howard_at_bbsrc.ac.uk Or talk to me
during the meeting
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