ModelConvolution Approach to Modeling Green Fluorescent Protein Dynamics

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Model-Convolution Approach to Modeling Green Fluorescent Protein Dynamics: Application to Yeast Cell Division David

Model-Convolution Approach to Modeling Green Fluorescent Protein Dynamics: Application to Yeast Cell Division David Odde Dept. of Biomedical Engineering University of Minnesota

Mitotic Spindle interpolar microtubule + COMPRESSION kinetochore + chromosomes + kinetochore microtubule TENSION +

Mitotic Spindle interpolar microtubule + COMPRESSION kinetochore + chromosomes + kinetochore microtubule TENSION + - + spindle pole + bifunctional plus-end motors In animal buddingcells: In yeast: ~1000 ~40 MTs 1. 7 µmµm 10 -20 - spindle pole

Microtubule Dynamic Instability

Microtubule Dynamic Instability

Microtubule “Dynamic Instability” kc Length (µm) “Catastrophe” Vg Vs “Rescue” kr Time (minutes) Hypothesis:

Microtubule “Dynamic Instability” kc Length (µm) “Catastrophe” Vg Vs “Rescue” kr Time (minutes) Hypothesis: The kinetochore modulates the DI parameters

MT Length Distribution for Pure Dynamic Instability Can only get peaks here Not here

MT Length Distribution for Pure Dynamic Instability Can only get peaks here Not here 1. 7 Left Pole Right Pole

Budding Yeast Spindle Geometry

Budding Yeast Spindle Geometry

Congression in S. cerevisiae P EQ P Green=Cse 4 -GFP k. MT Plus Ends

Congression in S. cerevisiae P EQ P Green=Cse 4 -GFP k. MT Plus Ends Red=Spc 29 -CFP k. MT Minus Ends

“Experiment-Deconvolution” vs. “Model-Convolution” Deconvolution Model Experiment Convolution

“Experiment-Deconvolution” vs. “Model-Convolution” Deconvolution Model Experiment Convolution

Point Spread Function (PSF) +0. 4 μm +0. 2 0 -0. 2 • A

Point Spread Function (PSF) +0. 4 μm +0. 2 0 -0. 2 • A point source of light is spread via diffraction through a circular aperture • Modeling needs to account for PSF -0. 4

Potential Pitfalls of Deconvolution Original Fluorophore Distribution Simulated Image Obtained by Model-Convolution of Original

Potential Pitfalls of Deconvolution Original Fluorophore Distribution Simulated Image Obtained by Model-Convolution of Original Distribution Image Obtained by Deconvolution of Simulated Image

Cse 4 -GFP Fluorescence Distribution Experimentally Observed Theoretically Predicted

Cse 4 -GFP Fluorescence Distribution Experimentally Observed Theoretically Predicted

Dynamic Instability Only Model Sprague et al. , Biophysical J. , 2003

Dynamic Instability Only Model Sprague et al. , Biophysical J. , 2003

Modeling Approach Model Parameter Space (a 1, a 2, a 3, …a. N) Experimental

Modeling Approach Model Parameter Space (a 1, a 2, a 3, …a. N) Experimental Data yes Probability that the model is consistent with the data <Cutoff? Accept Model Reject Model Parameter Space no

Modeling Approach Model assumptions: 1) Metaphase kinetochore microtubule dynamics are at steady-state (not time-dependent)

Modeling Approach Model assumptions: 1) Metaphase kinetochore microtubule dynamics are at steady-state (not time-dependent) 2) One microtubule per kinetochore 3) Microtubules never detach from kinetochores 4) Parameters can be: • Constant • Spatially-dependent (relative to poles) • Spatially-dependent (relative to sister kinetochore)

“Microtubule Chemotaxis” in a Chemical Gradient A: Phosphorylated Protein B: Dephosphorylated Protein k* Surface

“Microtubule Chemotaxis” in a Chemical Gradient A: Phosphorylated Protein B: Dephosphorylated Protein k* Surface reaction B-->A - Kinetochore Microtubules + k Homogeneous reaction A-->B Immobile Kinase Mobile Phosphatase Immobile Kinase MT Destabilizer Concentration X=0 Position X=L

Could tension stabilize kinetochore microtubules? Tension Kip 3

Could tension stabilize kinetochore microtubules? Tension Kip 3

Distribution of Cse 4 -GFP: Catastophe Gradient with Tension Between Sister Kinetochore-Dependent Rescue

Distribution of Cse 4 -GFP: Catastophe Gradient with Tension Between Sister Kinetochore-Dependent Rescue

Model Combinations

Model Combinations

Catastrophe Gradient-Tension Rescue Model 3 2 1

Catastrophe Gradient-Tension Rescue Model 3 2 1

Conclusions • Congression in budding yeast is mediated by: – Spatially-dependent catastrophe gradient –

Conclusions • Congression in budding yeast is mediated by: – Spatially-dependent catastrophe gradient – Tension between sister kinetochoredependent rescue • Model-convolution can be a useful tool for comparing fluorescent microscopy data to model predictions

Acknowledgements • Melissa Gardner, Brian Sprague (Uof M) • Chad Pearson, Paul Maddox, Kerry

Acknowledgements • Melissa Gardner, Brian Sprague (Uof M) • Chad Pearson, Paul Maddox, Kerry Bloom, Ted Salmon (UNC-CH) • National Science Foundation • Whitaker Foundation • Mc. Knight Foundation

Model-Convolution Original Fluorophore Distribution Simulated Image Obtained by Convolution of PSF and GWN with

Model-Convolution Original Fluorophore Distribution Simulated Image Obtained by Convolution of PSF and GWN with Original Distribution

Kinetochore MT Lengths in Budding Yeast ? 2 µm Experimentally Observed Theoretically Predicted

Kinetochore MT Lengths in Budding Yeast ? 2 µm Experimentally Observed Theoretically Predicted

Frequency (min-1) Catastrophe Gradient Model Normalized Spindle Position Sprague et al. , Biophys. J.

Frequency (min-1) Catastrophe Gradient Model Normalized Spindle Position Sprague et al. , Biophys. J. , 2003

Distribution of Cse 4 -GFP: Catastrophe Gradient Model

Distribution of Cse 4 -GFP: Catastrophe Gradient Model

Experimental Cse 4 -GFP FRAP • Cse 4 -GFP does not turnover on kinetochore

Experimental Cse 4 -GFP FRAP • Cse 4 -GFP does not turnover on kinetochore • Kinetochores rarely persist in opposite half-spindle Pearson et al. , Current Biology, in press

Cse 4 -GFP FRAP: Modeling and Experiment Catastrophe Gradient Simulation Experiment

Cse 4 -GFP FRAP: Modeling and Experiment Catastrophe Gradient Simulation Experiment

Cse 4 -GFP FRAP: Modeling and Experiment

Cse 4 -GFP FRAP: Modeling and Experiment

Gradients in Phospho-state MT Destabilizer Concentration X=0 Position X=L If k= 50 s-1, D=5

Gradients in Phospho-state MT Destabilizer Concentration X=0 Position X=L If k= 50 s-1, D=5 µm 2/s, and L=1 µm, then g=3

Could tension stabilize kinetochore microtubules? Tension Kip 3 Tension

Could tension stabilize kinetochore microtubules? Tension Kip 3 Tension

Catastophe Gradient with Tension Between Sister Kinetochore-Dependent Rescue Model

Catastophe Gradient with Tension Between Sister Kinetochore-Dependent Rescue Model

Experimental Cse 4 -GFP in Cdc 6 mutants WT Cdc 6 D

Experimental Cse 4 -GFP in Cdc 6 mutants WT Cdc 6 D

Cse 4 -GFP in Cdc 6 Cells: No tension between sister kinetochores Rescue Gradient

Cse 4 -GFP in Cdc 6 Cells: No tension between sister kinetochores Rescue Gradient with Tension-Dependent Catastrophe Model (No Tension) Frequency (min-1) Catastrophe Gradient with Tension. Dependent Rescue Model (No Tension) Normalized Spindle Position

Cse 4 -GFP in Cdc 6 Cells: No tension between sister kinetochores

Cse 4 -GFP in Cdc 6 Cells: No tension between sister kinetochores

Catastrophe or Rescue Frequency (min-1) Rescue Gradient Model Normalized Spindle Position

Catastrophe or Rescue Frequency (min-1) Rescue Gradient Model Normalized Spindle Position

Simulation of Budding Yeast Mitosis Prometaphase Metaphase Start with random positions, let simulation reach

Simulation of Budding Yeast Mitosis Prometaphase Metaphase Start with random positions, let simulation reach steady-state Anaphase Eliminate cohesion, set spring constant to 0

MINIMUM ABSOLUTE SISTER KINETOCHORE SEPARATION DISTANCE

MINIMUM ABSOLUTE SISTER KINETOCHORE SEPARATION DISTANCE

Stu 2 p-mediated catastrophe gradient? WT Stu 2 p-depleted Pearson et al. , Mol.

Stu 2 p-mediated catastrophe gradient? WT Stu 2 p-depleted Pearson et al. , Mol. Biol. Cell, 2003

Green Fluorescent Protein

Green Fluorescent Protein

Prometaphase Spindles and the Importance of Tension in Mitosis “Syntely” M Ipl 1 -mediated

Prometaphase Spindles and the Importance of Tension in Mitosis “Syntely” M Ipl 1 -mediated detachment of kinetochores under low tension Dewar et al. , Nature 2004 D

MT Length Distributions • Regard MT dynamic instability as diffusion + drift • The

MT Length Distributions • Regard MT dynamic instability as diffusion + drift • The drift velocity is a constant given by • For constant Vg, Vs, kc, and kr, the length distribution is exponential Vd<0 Vd>0 exponential decay exponential growth

Sister Kinetochore Microtubule Dynamics

Sister Kinetochore Microtubule Dynamics

Model-Convolution Original Fluorophore Distribution Simulated Image Obtained by Convolution of PSF and GWN with

Model-Convolution Original Fluorophore Distribution Simulated Image Obtained by Convolution of PSF and GWN with Original Distribution

“Directional Instability” Skibbens et al. , JCB 1993

“Directional Instability” Skibbens et al. , JCB 1993

Tension on the kinetochore promotes switching to the growth state? Skibbens and Salmon, Exp.

Tension on the kinetochore promotes switching to the growth state? Skibbens and Salmon, Exp. Cell Res. , 1997

Tension Between Sister Kinetochore. Dependent Rescue

Tension Between Sister Kinetochore. Dependent Rescue

Lack of Equator Crossing in the Catastrophe Gradient with Tension-Rescue Model ~25% FRAP recovery

Lack of Equator Crossing in the Catastrophe Gradient with Tension-Rescue Model ~25% FRAP recovery ~5% FRAP recovery

Microtubule Dynamic Instability

Microtubule Dynamic Instability

Model for Chemotactic Gradients of Phosphoprotein State Fick’s Second Law with First-Order Homogeneous Reaction

Model for Chemotactic Gradients of Phosphoprotein State Fick’s Second Law with First-Order Homogeneous Reaction (A->B) B. C. 1: Surface reaction at x=0 (B->A) B. C. 2: No net flux at x=L Conservation of phosphoprotein Sprague et al. , Biophys. J. , 2003

Predicted Concentration Profile

Predicted Concentration Profile

Model Predictions: Effect of Surface Reaction Rate

Model Predictions: Effect of Surface Reaction Rate

Defining “Metaphase” in Budding Yeast

Defining “Metaphase” in Budding Yeast