Saddle-node bifurcation and its robustness analysis: A mechanism for inducing pluripotency in stem cell

In this paper, we study saddle-node bifurcation and its robustness analysis for a class of nonlinear systems with dynamic uncertainties. First, we formulate a robust bifurcation analysis problem of evaluating the region that contains all potential bifurcation points on which an equilibrium appears, disappears, or loses hyperbolicity depending on uncertainties. Next, we propose an existence condition of multiple equilibria and evaluation of their location. Then, we derive a condition for robust hyperbolicity of a set of potential equilibrium points, and identify the region that contains all potential bifurcation points. The proposed analysis method is applied to robustness analysis of a genetic network model representing a mechanism for generating induced pluripotent stem cells (iPS cells). We find that saddle-node bifurcation occurs in the iPS model. Then, by the proposed robustness analysis, we further show that the bifurcation is so robust that it plays an essential role for inducing pluripotency in actual iPS cells.

[1]  Jun-ichi Imura,et al.  Robust bifurcation Analysis of Systems with Dynamic uncertainties , 2013, Int. J. Bifurc. Chaos.

[2]  Jun-ichi Imura,et al.  Robust stability and instability of nonlinear feedback system with uncertainty-dependent equilibrium , 2014, 2014 European Control Conference (ECC).

[3]  D. Chillingworth DYNAMICAL SYSTEMS: STABILITY, SYMBOLIC DYNAMICS AND CHAOS , 1998 .

[4]  J. Shu,et al.  Induction of Pluripotency in Mouse Somatic Cells with Lineage Specifiers , 2013, Cell.

[5]  Frank Allgöwer,et al.  Robust stability and instability of biochemical networks with parametric uncertainty , 2011, Autom..

[6]  Alexander E. Kel,et al.  Bifurcation analysis of the regulatory modules of the mammalian G1/S transition , 2004, Bioinform..

[7]  Thilo Gross,et al.  Epidemic dynamics on an adaptive network. , 2005, Physical review letters.

[8]  Katherine C. Chen,et al.  Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell. , 2003, Current opinion in cell biology.

[9]  S. Yamanaka,et al.  Induction of Pluripotent Stem Cells from Mouse Embryonic and Adult Fibroblast Cultures by Defined Factors , 2006, Cell.

[10]  Shinji Hara,et al.  Existence criteria of periodic oscillations in cyclic gene regulatory networks , 2011, Autom..

[11]  Peter Sheridan Dodds,et al.  Universal behavior in a generalized model of contagion. , 2004, Physical review letters.

[12]  J. A. Kuznecov Elements of applied bifurcation theory , 1998 .

[13]  Kevin S. McCann,et al.  Bifurcation Structure of a Three-Species Food-Chain Model , 1995 .

[14]  Kathy Chen,et al.  Network dynamics and cell physiology , 2001, Nature Reviews Molecular Cell Biology.

[15]  Jun-ichi Imura,et al.  An instability condition for uncertain systems toward robust bifurcation analysis , 2013, 2013 European Control Conference (ECC).

[16]  L. Lu,et al.  Computing an optimum direction in control space to avoid stable node bifurcation and voltage collapse in electric power systems , 1992 .

[17]  C. Robinson Dynamical Systems: Stability, Symbolic Dynamics, and Chaos , 1994 .

[18]  I. Dobson Observations on the geometry of saddle node bifurcation and voltage collapse in electrical power systems , 1992 .

[19]  S. Sastry Nonlinear Systems: Analysis, Stability, and Control , 1999 .

[20]  Kazuo Murota,et al.  Imperfect Bifurcation in Structures and Materials , 2002 .

[21]  Jun-ichi Imura,et al.  Robust bifurcation analysis based on the Nyquist stability criterion , 2013, 52nd IEEE Conference on Decision and Control.

[22]  T. Ichisaka,et al.  Induction of Pluripotent Stem Cells from Adult Human Fibroblasts by Defined Factors , 2007, Cell.