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Checkpoint oriented cell-cycle simulation: critical role for age distribution initialization

Published: 07 July 2012 Publication History

Abstract

In this paper we start to validate a computational cell cycle model, developed in a collaborative work between computer scientists and biologists, evaluating the convergence between in-vitro and in-silico results. Whereas most models are phase-orientated our model deals with a checkpoint orientated paradigm and uses phase orientation as an output to provide the biologists with a relevant view of the simulation result. Throughout this paper, we will show that the initialization state of a multi-cellular culture is a high constraint in the relevance of the results. This initialization state lets emerge computational artifacts as phasing.

References

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M. Loeffler and I. Roeder. Conceptual models to understand tissue stem cell organization. Current opinion in hematology, 11(2):81, 2004.
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B. Novak and J. Tyson. A model for restriction point control of the mammalian cell cycle. Journal of theoretical biology, 230(4):563--579, 2004.
[3]
J. Pascalie, V. Lobjois, H. Luga, B. Ducommun, and Y. Duthen. A Checkpoint-Orientated Model to Simulate Unconstrained Proliferation of Cells (regular paper). In European Conference on Artificial Life (ECAL), Paris, pages 630--637. The MIT Press, août 2011.
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A. A. Patel, E. T. Gawlinski, S. K. Lemieux, and R. A. Gatenby. A cellular automaton model of early tumor growth and invasion: The effects of native tissue vascularity and increased anaerobic tumor metabolism. Journal of Theoretical Biology, 213(3):315 -- 331, 2001.

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    cover image ACM Conferences
    GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
    July 2012
    1586 pages
    ISBN:9781450311786
    DOI:10.1145/2330784

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 07 July 2012

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    Author Tags

    1. artificial life
    2. cell cycle
    3. developmental systems
    4. individual cell-based model
    5. multi-cellular simulation
    6. synthetic biology

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    GECCO '12
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    GECCO '12: Genetic and Evolutionary Computation Conference
    July 7 - 11, 2012
    Pennsylvania, Philadelphia, USA

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    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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