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A 3-D Computational Model for Multicellular Tissue Growth

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Biomedical Simulation (ISBMS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4072))

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Abstract

We report the development of a computational model for the growth of multicellular tissues using a discrete approach based on cellular automata to study the tissue growth rates and population dynamics of two different populations of migrating and proliferating mammalian cells. Cell migration is modeled using a discrete-time Markov chain approach and each population of cells has its own division and motion characteristics that are based on experimental data. A large number of parameters allow for a detailed study of the population dynamics. This permits the exploration of the relative influence of various system parameters on the proliferation rate and some other aspects of cell behavior such as average speed of locomotion.

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References

  1. Soll, D., Wessels, D.: Motion analysis of living cells: Techniques in modern biomedical microscopy. Wiley-Liss, New York (1998)

    Google Scholar 

  2. Zygourakis, K., Bizios, R., Markenscoff, P.: Proliferation of anchorage-dependent contact-inhibited cells: Development of theoretical models based on cellular automata. Biotechnology and Bioengineering 38(5), 459–470 (1991)

    Article  Google Scholar 

  3. Zygourakis, K., Markenscoff, P., Bizios, R.: Proliferation of anchorage-dependent contact-inhibited cells II: Experimental results and validation of the theoretical models. Biotechnology and Bioengineering 38(5), 471–479 (1991)

    Article  Google Scholar 

  4. Lee, Y., Markenscoff, P.A., McIntire, L.V., Zygourakis, K.: Characterization of endothelial cell locomotion using a markov chain model. Biochemistry and Cell Biology 73, 461–472 (1995)

    Article  Google Scholar 

  5. Cherry, R.S., Papoutaskis, E.T.: Modelling of contact inhibited animal cell growth on flat surfaces and spheres. Biotechnology and Bioengineering 33, 300–305 (1989)

    Article  Google Scholar 

  6. Lim, J.H.F., Davies, G.A.: A stochastic model to simulate the growth of anchorage dependent cells on flat surfaces. Biotechnology and Bioengineering 36, 547–562 (1990)

    Article  Google Scholar 

  7. Youssef, B.B.: Simulation of cell population dynamics using 3-D cellular automata. In: Sloot, P.M.A., Chopard, B., Hoekstra, A.G. (eds.) ACRI 2004. LNCS, vol. 3305, pp. 562–571. Springer, Heidelberg (2004)

    Google Scholar 

  8. Ben Youssef, B., Markenscoff, P., Zygourakis, K.: Parallelization of a 3-D computational model for wound healing. WSEAS Transactions on Computers 3(4), 993–998 (2004)

    Google Scholar 

  9. Wolfram, S.: Cellular Automata and Complexity: Collected Papers. Addison-Wesley Publishing Co., Reading (1994)

    MATH  Google Scholar 

  10. Youssef, B.B.: A three-dimensional stochastic model for tissue growth. In: Proceedings of the 16th IASTED International Conference on Modelling and Simulation (MS 2005), pp. 136–142 (2005)

    Google Scholar 

  11. Palsson, B.O., Bhatia, S.N.: Tissue engineering. Pearson Prentice Hall, Upper Saddle River (2004)

    Google Scholar 

  12. Cheng, G., Ben Youssef, B., Markenscoff, P., Zygourakis, K.: Cell population dynamics modulate the rates of tissue growth processes. Biophysical Journal 90(3), 713–724 (2006)

    Article  Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Tang, L., Youssef, B.B. (2006). A 3-D Computational Model for Multicellular Tissue Growth. In: Harders, M., Székely, G. (eds) Biomedical Simulation. ISBMS 2006. Lecture Notes in Computer Science, vol 4072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11790273_4

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  • DOI: https://doi.org/10.1007/11790273_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36009-4

  • Online ISBN: 978-3-540-36010-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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