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The Dynamics of Cell Cycle Regulation

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J. Tyson, A. Csikasz-Nagy & B. Novak. Agenda. Cell Cycle Regulation. Physiology ... dynamics of cell cycle regulation' by J. Tyson, A. Csikasz-Nagy & B. Novak, 2002. ... – PowerPoint PPT presentation

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Title: The Dynamics of Cell Cycle Regulation


1
The Dynamics of Cell Cycle Regulation
J. Tyson, A. Csikasz-Nagy B. Novak
  • John Ruero
  • 8 March 2003

2
Agenda
  • Cell Cycle Regulation
  • Physiology
  • Molecular Mechanism
  • Wild Type Cells
  • Toggle Switches, Amplifiers Oscillators
  • Consequences

3
Agenda
  • Primer on Dynamical Systems
  • Bifurcation Theory Primer
  • Checkpoints
  • Pheromone
  • Unreplicated or Damaged DNA
  • Spindle Assembly Chromosome Alignment
  • Conclusion

4
Cell Cycle
  • Cell Cycle is the process by which one cell
    becomes two.
  • Chromosome Cycle
  • - DNA Replication
  • - Physical Separation of two complete
    genomes to daughter nuclei
  • Growth Cycle
  • - Replication of all other cell components
  • - Physical Separation to daughter cells

5
Chromosome Cycle
  • Physiology
  • Two Basic Processes
  • DNA Synthesis (S phase)
  • During S phase, double-stranded DNA
    molecules are replicated to produce pairs of
    sister chromatids held together by proteins
    called cohesins.
  • Mitosis (M phase) with four subphases

6
Subphases in M Phase
  • Prophase
  • Replicated chromosomes condense into compact
    structures
  • Metaphase
  • Condensed chromosomes are aligned on the
    midplane of the mitotic spindle
  • Anaphase
  • Cohesins are degraded and sister chromatids are
    partitioned into two separate bundles

7
Subphases in M Phase
  • Telophase
  • When daughter nuclei form and the cell begins
    to divide
  • The S and M phases are separated in time by two
    gap called the G1 and G2 phases, the complete
    cycle constituting the cell cycle G1-S-G2-M.
  • Note It is crucial that S and M phases
    alternate in time. Why?
  • If a haploid cell attempts two mitotic nuclear
    divisions in a row without a complete intervening
    S phase, its progeny will inherit grossly
    incomplete genomes and die.
  • Repeated S phases without intervening mitoses is
    not immediately fatal but is unusual.

8
G1 Phase
  • G1 phase controls entry into the S phase, making
    sure that
  • a. cells are large enough to warrant a new
    round of DNA synthesis
  • b. any damage suffered by the DNA has been
    repaired
  • c. and external conditions favor mitotic cell
    division.

9
G2 Phase
  • G2 phase guards entry into mitosis, making sure
    that
  • a. DNA is fully replicated
  • b. any new damage sustained by DNA has been
    repaired
  • c. and the cell is large enough to divide.

10
The Cell Cycle
  • In growing cells, the four phases proceed
    successively, taking from 10-20 hrs.
  • Interphase comprises the G1, S, and G2 phases.
    DNA is synthesized in S and other cellular
    macromolecules are synthesized throughout
    interphase, roughly doubling cells mass.
  • During G2 the cell is prepared for mitotic (M)
    phase when the genetic material is evenly
    proportioned and the cell divides.
  • Non-dividing cells exit the normal cycle,
    entering the quiescent G0 state.

11
Molecular Mechanism (1)
  • Enzymes called Cyclin-dependent protein kinases
    (CDKs) are the master molecules of the cell
    cycle.
  • CDKs trigger major events of the chromosome cycle
    by phosphorylating certain target proteins on
    chromosomes and elsewhere.
  • At anaphase, the destruction of mitotic CDK
    activity allows cells to divide and enter G1
    phase of the next cell cycle.

12
Molecular Mechanism (2)
  • Exit from mitosis is controlled by the
    anaphase-promoting complex (APC) which initiates
    the degradation of cohesins and mitotic cyclins.
  • Therefore, to understand the molecular
    mechanism of cell reproduction is to understand
    the regulation of CDK and APC activities.

13
Molecular Mechanism (3)
  • In the mitotic cycle of fission yeast, a single
    CDK (called Cdc2) in combination with a single
    B-type cyclin (called Cdc13) triggers both the S
    phase (modest Cdc2 activity) and M phase (high
    Cdc2 activity). The activity Cdc2Cdc13 is
    regulated in three different ways
  • a. Availability of cyclin subunits
  • b. Phosphorylation of kinase subunits
  • c. Binding to a stoichiometric inhibitor.

14
Cell Cycle Molecular Mechanism
15
Molecular Mechanism (4)
  • Cdc13 concentration is low at G1 and rising
    steadily through S, G2 and early M phases. As
    cells exit mitosis, Cdc13 level rapidly degrades.
    This Cdc13 degradation is mediated by two
    proteins called Slp1 and Ste9 for ubiquitination
    by the APC and destroyed subsequently by
    proteasomes. At G1, cells contain a protein Rum1
    which binds to and inhibits any Cdc2Cdc13 dimers
    that may be present.

16
Molecular Mechanism (5)
  • To leave G1 and enter S phase, Ste9 and Rum1 must
    be neutralized. This is aided by starter kinases
    Cig1, Cig2 and Puc1 which are not opposed by Ste9
    and Rum1, which phosphorylate Ste9 and Rum1,
    thereby inactivating them and labeling them for
    degradation.
  • During G2, Cdc13 is stable and Rum1 is absent,
    Cdc2Cdc13 is inactive.
  • To enter M with high Cdc2 activity, kinases Wee1
    and Mik1 must be inactivated, and Cdc25 activated.

17
Toggle Switches Oscillators
  • The apparent activities of the different proteins
    and kinases (feedback loops that may, under
    appropriate conditions, cannot coexist) work like
    toggle switches.
  • Another interaction of proteins mutually amplify
    one another, which generate oscillations.

18
Consequences
  • Quantitatively, these molecular mechanisms are
    converted into a set of differential equations,
    and numerical simulation is used to study
    solution to these differential equations.
  • Qualitatively, these relations between kinetic
    equations and cell physiology are clearly
    revealed through the methods of dynamic systems
    theory.

19
Dynamic Systems Primer (1)
  • What are dynamic systems?
  • A dynamical system is a set of nonlinear
    ordinary differential equations,
  • dx1/dt fi(x1,, xn p1,, pm), i 1, n
  • where
  • xi concentration (or activity) of the i-th
    protein in the reaction network
  • pj value of the j-th parameter (rate
    constant, binding constant, etc.)
  • fi synthesis degradation activation
    inactivation, where synthesis are nonlinear
    functions of the variable concentrations and
    constant parameters in the model

20
Dynamic Systems Primer (2)
  • The model has three parts
  • a. set of rate equations fi,,fn
  • b. set of parameter values p1,,pm
  • c. set of initial conditions x1(0),,xn(0)

21
Dynamic Systems Primer (3)
  • Steady state (SS) solution
  • At a steady state x1,,xn, the rates of
    change are all identically zero, fi(x1,, xn
    p1,, pm)0 for all i. Hence, at a steady state,
    protein concentrations are unchanging in time.
  • Oscillatory solution
  • For an oscillatory solution, protein
    concentrations change or vary in time, repeating
    themselves after a characteristic period Tosc gt 0.

22
Dynamic Systems Primer (4)
  • A steady state is stable if any small
    perturbation away from a steady state returns to
    the steady state.
  • A state is unstable if some perturbations grow
    larger with time, and the control system leaves
    the vicinity of the steady state.
  • Stable solutions represent physiologically
    observable states of the control system.
  • For example, a stable steady state may lose its
    stability or cease to exist, and an oscillatory
    solution may pop into existence. These changes
    in the solution of dynamical systems are called
    bifurcations.

23
Bifurcation Theory Primer
  • Bifurcations of a dynamical system can be
    characterized by a one-parameter bifurcation
    diagram.
  • A bifurcation diagram is constructed by singling
    out one variable, say x1, as a representative of
    all dynamic variables in the control system and
    one parameter, say p1, as a representative of all
    the rate-determining factors in the model. The
    steady-state value x1 is plotted as a function
    of p1. At these specific values called
    bifurcation points, strange things happen.

24
Examples of Dynamical Systems and Bifurcation
Theory
  • Seesaw
  • Economic applications (dynamic demands,
    advertising, etc.)
  • Cell Cycle

25
Example of Bifurcation Diagram for the Full Cell
Cycle
26
Checkpoints (1)
  • Pheromone
  • Molecules secreted into the extracellular
    environment to convey to neighboring cells the
    mating-type identity of the pheromone-secreting
    cell, triggering a series of activities that
    causes it to halt in G1 phase, and prepare for
    mating.
  • Unreplicated or damaged DNA
  • If after entering the S phase, a cell runs into
    trouble completing the DNA replication, it must
    delay entry into the M phase through a series of
    protein activities.

27
Checkpoints (2)
  • Spindle Assembly and Chromosome Alignment If a
    cell runs into problems assembling the mitotic
    spindle or aligning all its chromosomes on the
    spindle, then a spindle surveillance mechanism
    delays the metaphase-to-anaphase transition.

28
Conclusion (1)
  • The physiological characteristics of a cell are
    determined by networks of interacting proteins
    that process energy, material and information.
  • Computer simulations can be used for careful
    analysis of kinetic properties of small networks
    (say around 10-50 differential equations). This
    simulation compares model behavior with observed
    experiments.
  • Bifurcation theory helps uncover the dynamical
    principles of control systems.

29
Conclusion (2)
  • Bifurcation diagrams give a new and useful
    perspective on the growth and reproduction of the
    fission yeast. From this view, progress through
    the cell cycle is a sequence of bifurcations
    between stable states of regulatory networks
    G1-S-G2 (interphase) and mitotic (M) modules.
  • Progress from one stage to the other can be
    restrained by checkpoints mechanisms that check
    and monitor the states of the cells DNA and
    mitotic components.

30
Thank You
  • Presentation based on the BioEssays article
    The dynamics of cell cycle regulation by J.
    Tyson, A. Csikasz-Nagy B. Novak, 2002.
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