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3D Substitution Model for Limb Growth and Pattern Formation. Ying Zhang 1 , Stuart A. Newman 2 , James A. Glazier 1 1.Biocomplexity Institute, Department of Physics, Indiana University 2.New York Medical College. :. Substitution model. Patterning a Developmental
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3D Substitution Model for Limb Growth and Pattern Formation Ying Zhang1, Stuart A. Newman2, James A. Glazier1 1.Biocomplexity Institute, Department of Physics, Indiana University 2.New York Medical College
: Substitution model
Patterning a Developmental Field by Long-range Signalling Tetsuya Tabata, et al. Nature, 2001
Mechanisms of pattern formation in development and evolution Salazar-Ciudad I et al. Development 2003 I
Relation: Embryonic Development & Substitution Model • Cellular autonomy Neighbor independent substitution system Example: cell growth, cell differentiation • Cell signaling relay, cell-cell interaction model neighbor-dependent substitution model Example: cell-cell adhesion, cell sorting, cell migration, cell growth and death • Positional information/Morphogenesis field theory Probability substitution model Example: FGF
Development of Limb Bud Gilbert et al 2003 Newman SA. et al. Science 1979
FGFs & FGFRs Xu X. et al. Cell Tissue Res. 1999
Hox Gene Expression Nelson et al. Development 1996
Expansion of Cell Populations Vargesson N. et al. Development, 1997
Gene & Function FGF ---outgrowth of the limb bud BMP--- Cartilage formation & Cell Death SHH<->Gli3—Patterning SHH->HOX—Patterning Gene Regulatory Network Niswander, L. et al. Nature Reviews 2003
Growth Rule && Growth Probability Field Division Differentiation Condensation Growth Probability Field
2D Subsitution Model Shubin et al. 1986
3D Substitution Simulation With Physical Branching and Differentiation rule
Fate Mapping Vargesson N. et al. Development, 1997
Morphogen Gradient Field • Example:SHH-Gli3 Reaction Diffusion Oscillation or no Oscillation
Activator Inhibitor AS=2.9 AS=2.0 Initial With Different Activator strength, form different Pattern
Summary • 1. The substitution system is a suitable tool to enumerate growth process in embryonic development. • 2.The substitution system as applied here can simulate real biological process, like cell division and differentiation. • 3. Global behavior can be described by probability fields, which can link the molecular-signaling level to the cellular level. • 4. Under certain growth probabilities to, the cell motion is still random according to fate map test.
Future Work • Find out the suitable growth probability function. • Implement the molecular information into the model. • Application in other developmental system. • Explore random/robustness effects in embryonic development. • Explore surface tension constraints using the Cellular Potts model.
Reference • Wolfram S., A new kind of science (2003). • Wolfram S., Theory and Application of cellular automata (1986) • Newman, S. A., and Frisch H. L., Dynamics of skeletal pattern formation in developing chick limb. Science 205, 662-668 (1979) • Newman M. E. J., Barkema G.T., Monte Carlo Methods (1999). • Salazar-Ciudad I., Jernvall J. and Newman S.A., Mechanisms of pattern formation in development and evolution, Development 130, 2027-2037 (2003). • Adrian C., Life's Patterns: no need to spell it out? Science 303, 782-783 (2004) • Chaplain M.A.J., On growth and form: Spatio-temporal pattern formation in Biology, (1999). • Deneen M., Hox10 and Hox11 genes are required to globally pattern the mammalian skeleton. Science 301, 363-368 (2003). • Murray J. D., Mathematical biology I: An introduction (2001). • Murray J. D., Mathematical biology II: Spatial models and biomedical applications (2001). • Vargesson N., Cell fate in the chick limb bud and relationship to gene expression. Development 124, 1909-18 1997. • Glazier J. A., Simulation of differential adhesion driven rearrangement of biological cells, Phy. Rev. E, 47,2128-2155 (1993).