Modeling the Cell Cycle: Why Do Certain Circuits Oscillate?

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Modeling the Cell Cycle: Why Do Certain Circuits Oscillate? James E. Ferrell, Tony Yu-Chen Tsai, Qiong Yang  Cell  Volume 144, Issue 6, Pages 874-885 (March 2011) DOI: 10.1016/j.cell.2011.03.006 Copyright © 2011 Elsevier Inc. Terms and Conditions

Figure 1 Simplified Depiction of the Embryonic Cell Cycle, Highlighting the Main Regulatory Loops (A) Cyclin-CDK1 is the master regulator of mitosis. APC-Cdc20 is an E3 ubiquityl ligase, which marks mitotic cyclins for degradation by the proteasome. Wee1 is a protein kinase that inactivates cyclin-CDK1. Cdc25 is a phosphoprotein phosphatase that activates cyclin-CDK1. Not shown here is Plk1, which cooperates with cyclin-CDK1 in the activation of APC-Cdc20. (B) In the Xenopus embryo, the activation of CDK1 drives the cell into mitosis, whereas the activation of APC, which generally lags behind CDK1, drives the cell back out of mitosis. Cell 2011 144, 874-885DOI: (10.1016/j.cell.2011.03.006) Copyright © 2011 Elsevier Inc. Terms and Conditions

Figure 2 Boolean Models of CDK1 Regulation (A–C) Schematic representation of negative feedback loops composed of one (A), two (B), or three (C) species. (D–F) Trajectories in state space for Boolean models of these three negative feedback systems. Solid lines represent limit cycles; dashed lines (in F) connect the states off the limit cycle to the limit cycle. Cell 2011 144, 874-885DOI: (10.1016/j.cell.2011.03.006) Copyright © 2011 Elsevier Inc. Terms and Conditions

Figure 3 A Model of CDK1 Regulation with One Differential Equation (A) Schematic of the model. The parameters chosen for the model were α1 = 0.1, β1 = 1, K1 = 0.5, and n1 = 8. (B) Trajectories in one-dimensional phase space, approaching a stable steady state (designated by the filled circle) at CDK1∗≈0.43. (C) Time course of the system, starting with CDK1∗[0] = 0 and evolving toward the steady state. Cell 2011 144, 874-885DOI: (10.1016/j.cell.2011.03.006) Copyright © 2011 Elsevier Inc. Terms and Conditions

Figure 4 A Two-ODE Model of CDK1 and APC Regulation (A) Schematic of the model. The parameters chosen for the model were α1 = 0.1, α2 = 3, β1 = 3, β2 = 1, K1 = 0.5, K2 = 0.5, n1 = 8, and n2 = 8. (B) Phase space depiction of the system. The red and green curves are the two nullclines of the system, which can be thought of as the steady-state response curves for the two individual legs of the feedback loop. The filled black circle at the intersection of the nullclines (with CDK1∗≈0.42 and APC∗≈0.37) represents a stable steady state. One trajectory is shown, starting at CDK1∗[0] = 0, APC[0] = 0, and spiraling in toward the stable steady state. (C) Time course of the system, showing damped oscillations approaching the steady state. Cell 2011 144, 874-885DOI: (10.1016/j.cell.2011.03.006) Copyright © 2011 Elsevier Inc. Terms and Conditions

Figure 5 A Three-ODE Model of CDK1, Plk1, and APC Regulation (A) Schematic of the model. The parameters chosen for the model were α1 = 0.1, α2 = 3, α3 = 3, β1 = 3, β2 = 1, β3 = 1, K1 = 0.5, K2 = 0.5, K3 = 0.5, n1 = 8, n2 = 8, and n3 = 8. (B) Phase space depiction of the system. The two colored surfaces are two of the three null surfaces of the system. For clarity, we have omitted the third. The open circle at the intersection of the null surfaces (with CDK1∗≈0.43, Plk1∗≈0.42, and APC∗≈0.37) represents an unstable steady state (or unstable spiral). One trajectory is shown, starting at CDK1∗[0] = 0, Plk1[0] = 0, APC[0] = 0, and spiraling in toward the limit cycle. (C) Time course of the system, showing sustained limit cycle oscillations. Cell 2011 144, 874-885DOI: (10.1016/j.cell.2011.03.006) Copyright © 2011 Elsevier Inc. Terms and Conditions

Figure 6 Linear Stability Analysis for the One-ODE Model The blue curve represents f as a function of CDK1∗. The dashed red line approximates f for small values of δCDK1∗. Cell 2011 144, 874-885DOI: (10.1016/j.cell.2011.03.006) Copyright © 2011 Elsevier Inc. Terms and Conditions

Figure 7 A Delay Differential Equation Model of CDK1 and APC Regulation (A) Schematic of the model. The parameters chosen for the model were α1 = 0.1, α2 = 3, β1 = 3, β2 = 1, K1 = 0.5, K2 = 0.5, n1 = 8, n2 = 8, τ1 = 0.5, and τ2 = 0.5. (B) Phase space depiction of the system. The red and green lines are the nullclines. One trajectory is shown. The initial history for this trajectory was CDK1∗[t ≤ 0] = 0, APC[t ≤ 0] = 0. The trajectory spirals in toward a limit cycle. (C) Time course of the system, showing sustained limit cycle oscillations. Cell 2011 144, 874-885DOI: (10.1016/j.cell.2011.03.006) Copyright © 2011 Elsevier Inc. Terms and Conditions

Figure 8 Interlinked Positive and Negative Feedback Loops in a Two-Component Model of CDK1 and APC Regulation (A) Schematic of the model. The parameters chosen for the model were α1 = 0.02, α2 = 3, α2 = 3, β1 = 3, β2 = 1, K1 = 0.5, K2 = 0.5, K3 = 0.5, n1 = 8, n2 = 8, and n3 = 8. (B) Phase space depiction of the system. The red and green lines are the nullclines. They intersect at an unstable steady state designated by the open circle. All trajectories spiral in or out toward a stable limit cycle, denoted by the closed black loop. (C) Time course of the system, showing sustained limit cycle oscillations. Cell 2011 144, 874-885DOI: (10.1016/j.cell.2011.03.006) Copyright © 2011 Elsevier Inc. Terms and Conditions

Cell 2011 144, 874-885DOI: (10.1016/j.cell.2011.03.006) Copyright © 2011 Elsevier Inc. Terms and Conditions

Cell 2011 144, 874-885DOI: (10.1016/j.cell.2011.03.006) Copyright © 2011 Elsevier Inc. Terms and Conditions