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A Primer in Bifurcation Theory for Computational Cell Biologists John J. Tyson Virginia Polytechnic Institute & Virginia Bioinformatics Institute [email protected] Click on icon to start audio

A Primer in Bifurcation Theory for Computational Cell Biologists

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A Primer in Bifurcation Theory for Computational Cell Biologists. John J. Tyson Virginia Polytechnic Institute & Virginia Bioinformatics Institute. Click on icon to start audio. [email protected]. Molec Genetics Biochemistry Cell Biology. - PowerPoint PPT Presentation

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Page 1: A Primer in Bifurcation Theory for Computational Cell Biologists

A Primer in Bifurcation Theoryfor Computational Cell Biologists

John J. TysonVirginia Polytechnic Institute

& Virginia Bioinformatics Institute

[email protected]

Click on icon to start audio

Page 2: A Primer in Bifurcation Theory for Computational Cell Biologists

The Dynamical Perspectivein Molecular Cell Biology

Molec Genetics Biochemistry Cell Biology

Kinetic Equations

Molecular Mechanism

Page 3: A Primer in Bifurcation Theory for Computational Cell Biologists

Cdk

C K

I

Cdk

Cyclin

C K

I

Cdk

Cyclin

Cdk

Cyclin

P

Cyclin

Cdk

Wee1

Cdc25

1 2 3 4

3 4 5

6 7

8 9

d[Cyclin][Cyclin] [Cyclin][Cdk] [MPF]

dd[MPF]

[Cyclin][Cdk] [MPF] [MPF]d

[Wee1][MPF] [Cdc25][preMPF]

[MPF][CKI] [MPF:CKI]

k k k kt

k k kt

k k

k k

MPF = Mitosis Promoting Factor

Page 4: A Primer in Bifurcation Theory for Computational Cell Biologists

The Dynamical Perspectivein Molecular Cell Biology

Molec Genetics Biochemistry Cell Biology

Kinetic Equations

Molecular Mechanism

The Curse ofParameter Space

Page 5: A Primer in Bifurcation Theory for Computational Cell Biologists

[Cyclin]

[CKI]

[MPF]

Kinetic Equations

State Space, Vector Field

Molecular Mechanism

Attractors, Transients, RepellorsHenri Poincare (1890)

Page 6: A Primer in Bifurcation Theory for Computational Cell Biologists

The Dynamical Perspectivein Molecular Cell Biology

Molec Genetics Biochemistry Cell Biology

Kinetic Equations

State Space, Vector Field

Attractors, Transients, Repellors

Bifurcation Diagrams

Molecular Mechanism

Signal-Response Curves

Page 7: A Primer in Bifurcation Theory for Computational Cell Biologists

Cdk

C K

I

Cdk

Cyclin

C K

I

Cdk

Cyclin

Cdk

Cyclin

P

Cyclin

Cdk

Wee1

Cdc25

= k1 - (kwee + k2) * MPF + k25 (cyclin - MPF)

= k1 - k2 * cyclin

d MPFdt

d cyclindt

Page 8: A Primer in Bifurcation Theory for Computational Cell Biologists

MPF

Cyclin

d cyclindt

= k1 - k2 * cyclin = 0k1 / k2

d MPFdt

= … = 0

Page 9: A Primer in Bifurcation Theory for Computational Cell Biologists

MPF

Cyclin

d cyclindt

= k1 - k2 * cyclin = 0k1 / k2

d MPFdt

= … = 0

Page 10: A Primer in Bifurcation Theory for Computational Cell Biologists

MPF

Cyclin

d cyclindt

= k1 - k2 * cyclin = 0k1 / k2

d MPFdt

= … = 0

saddle-node

Page 11: A Primer in Bifurcation Theory for Computational Cell Biologists

MPF

Cyclin

d cyclindt

= k1 - k2 * cyclin = 0k1 / k2

d MPFdt

= … = 0

Page 12: A Primer in Bifurcation Theory for Computational Cell Biologists

One-parameter bifurcation diagram

Parameter, k1

Variable, MPF

stable steady state

unstable steady state

saddle-nodesaddle-node

Signal Response

t t

p x

OFF

ON

(signal)

(response)

x

y

Page 13: A Primer in Bifurcation Theory for Computational Cell Biologists

Frog egg

MPF

Cdc25- PCdc25

MPF- P

0

0.5

1

0 1 2

resp

on

se (

MP

F)

signal (cyclin)

interphase

met

apha

se

(inactive)CycBMPF =

M-phase Promoting Factor

Page 14: A Primer in Bifurcation Theory for Computational Cell Biologists

02468

101214

0 6 12 18 24 30 60

MPF activity depends on total cyclin concentration

and on the history of the extract

Cyclin concentration increasing

inactivation threshold at 90 min

MP

F a

ctiv

ity

nM cyclin B

M

IIIIII

02468

101214

0 6 12 18 24 30 60

MP

F a

ctiv

ity

nM cyclin B

M

M

MI/MIII

Cyclin concentration decreasing

I M

bistabilityWei Sha & Jill Sible (2003)

zero

zero

Page 15: A Primer in Bifurcation Theory for Computational Cell Biologists

Oscillations

0

0.5

1

0 1 2

MP

F

cyclin

MPF

Cdc25- PCdc25

MPF- P(inactive)

cyclin synthesis

cyclin degradationAPC

negative feedback loop

Page 16: A Primer in Bifurcation Theory for Computational Cell Biologists

Pomerening, Kim & FerrellCell (2005)

MP

F a

cti

vit

y

MPF activity

Total Cyclin

Total Cyclin

stable limit cycle

Page 17: A Primer in Bifurcation Theory for Computational Cell Biologists

Variable,MPF

Parameter, k1

sss

uss

slc max

min

One-parameter bifurcation diagram

Hopf Bifurcation

stable limit cycle

Page 18: A Primer in Bifurcation Theory for Computational Cell Biologists

The Dynamical Perspectivein Molecular Cell Biology

Molec Genetics Biochemistry Cell Biology

Kinetic Equations

State Space, Vector Field

Attractors, Transients, Repellors

Bifurcation Diagrams

Molecular Mechanism

Signal-Response Curves

Page 19: A Primer in Bifurcation Theory for Computational Cell Biologists

•Saddle-Node (bistability, hysteresis)•Hopf Bifurcation (oscillations)•Subcritical Hopf•Cyclic Fold•Saddle-Loop•Saddle-Node Invariant Circle

Signal-Response Curve = One-parameter Bifurcation Diagram

Rene Thom

Page 20: A Primer in Bifurcation Theory for Computational Cell Biologists

References

• Strogatz, Nonlinear Dynamics and Chaos (Addison Wesley)

• Kuznetsov, Elements of Applied Bifurcation Theory (Springer)

• XPP-AUT www.math.pitt.edu/~bard/xpp

• Oscill8 http://oscill8.sourceforge.net