Abstract
We report simulation results describing cell-cell interactions using a versatile computational model to simulate the growth of multicellular tissues employing a discrete approach based on cellular automata. In particular, we present results of cell collision and aggregation for three cell populations each having its own division and motion characteristics based on experimental data. The developed model allows us to study the tissue growth rates and population dynamics of different populations of migrating and proliferating mammalian cells in a mixed and segmented seeding distribution. In this regard, the model assumes that nutrient and growth factor concentrations remain constant in space and time. Cell migration is modeled using a discrete-time Markov chain approach. Both heterotypic and homotypic cell-cell interactions play important roles in cell and tissue functions. The temporal evolution of the frequency of cell collision and aggregation and their relations to other variables that quantify some of the dynamics of cell populations can be predicted by this model for different cell seeding distributions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Palsson, B.O., Bhatia, S.N.: Tissue Engineering. Pearson Prentice Hall, Upper Saddle River (2004)
Ben Youssef, B.: A visualization tool of 3-D time-varying data for the simulation of tissue growth. Multimed. Tools Appl. 73(3), 1795–1817 (2014)
Chang, L., Gilbert, E.S., Eliashberg, N., Keasling, J.D.: A three-dimensional, stochastic simulation of biofilm growth and transport-related factors that affect structure. Micro-biology 149(10), 2859–2871 (2003)
Cickovski, T.M., et al.: A framework for three-dimensional simulation of morphogenesis. IEEE ACM T. Comput. Biol. Bioinform. 2(4), 273–288 (2005)
Drasdo, D., Jagiella, N., Ramis-Conde, I., Vignon-Clemental, I.E., Weens, W.: Modeling steps from benign tumor to invasive cancer: examples of intrinsically multiscale problems. In: Chauviere, A., Preziosi, L., Verdier, C. (eds.) Cell Mechanics: From Single Scale-Based Models to Multiscale Modeling. pp. 379–416. CRC Press, Boca Raton (2010)
Majno, G., Joris, I.: Cells, Tissues, and Disease: Principles of General Pathology. Oxford University Press, New York (2004)
Ben Youssef, B.: A parallel cellular automata algorithm for the deterministic simulation of 3-D multicellular tissue growth. Cluster Comput. 18(4), 1561–1579 (2015)
An, G., Mi, Q., Dutta-Moscato, J., Vodovotz, Y.: Agent-based models in translational systems biology. Wiley Interdiscip. Rev. 1(2), 159–171 (2009)
Azuaje, F.: Computational discrete models of tissue growth and regeneration. Brief. Bioinform. 12(1), 64–77 (2011)
Palsson, E.: A three-dimensional model of cell movement in multicellular systems. Future Gener. Comp. Sy. 17(7), 835–852 (2001)
Liu, X., Ma, P.: Polymeric scaffolds for bone tissue engineering. Ann. Biomed. Eng. 32(3), 477–486 (2004)
Youssef, B.B.: Visualization of spatial patterns of cells using a 3-D simulation model for multicellular tissue growth. In: Proceedings of the 4th IEEE International Conference on Multimedia Computing and Systems (ICMCS 2014), pp. 367–374, Marrakech, Morocco (2014)
Acknowledgments
The author would like to acknowledge the support for this research from the Research Centre in the College of Computer & Information Sciences and the Deanship of Scientific Research at King Saud University.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Youssef, B.B. (2018). Simulating Cell-Cell Interactions Using a Multicellular Three-Dimensional Computational Model of Tissue Growth. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10961. Springer, Cham. https://doi.org/10.1007/978-3-319-95165-2_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-95165-2_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-95164-5
Online ISBN: 978-3-319-95165-2
eBook Packages: Computer ScienceComputer Science (R0)