BMC Research Notes (Jul 2017)
In silico characterization of cell–cell interactions using a cellular automata model of cell culture
Abstract
Abstract Background Cell proliferation is a key characteristic of eukaryotic cells. During cell proliferation, cells interact with each other. In this study, we developed a cellular automata model to estimate cell–cell interactions using experimentally obtained images of cultured cells. Results We used four types of cells; HeLa cells, human osteosarcoma (HOS) cells, rat mesenchymal stem cells (MSCs), and rat smooth muscle A7r5 cells. These cells were cultured and stained daily. The obtained cell images were binarized and clipped into squares containing about 104 cells. These cells showed characteristic cell proliferation patterns. The growth curves of these cells were generated from the cell proliferation images and we determined the doubling time of these cells from the growth curves. We developed a simple cellular automata system with an easily accessible graphical user interface. This system has five variable parameters, namely, initial cell number, doubling time, motility, cell–cell adhesion, and cell–cell contact inhibition (of proliferation). Within these parameters, we obtained initial cell numbers and doubling times experimentally. We set the motility at a constant value because the effect of the parameter for our simulation was restricted. Therefore, we simulated cell proliferation behavior with cell–cell adhesion and cell–cell contact inhibition as variables. By comparing growth curves and proliferation cell images, we succeeded in determining the cell–cell interaction properties of each cell. Simulated HeLa and HOS cells exhibited low cell–cell adhesion and weak cell–cell contact inhibition. Simulated MSCs exhibited high cell–cell adhesion and positive cell–cell contact inhibition. Simulated A7r5 cells exhibited low cell–cell adhesion and strong cell–cell contact inhibition. These simulated results correlated with the experimental growth curves and proliferation images. Conclusions Our simulation approach is an easy method for evaluating the cell–cell interaction properties of cells.
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