Simulation of a stochastic cellular automata (CA) model of growing neurosphere.
The rules of the CA model were adopted from this paper:
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These rules were originally formulated in this paper:
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The simulation is initialized by placing a single stem cell (red) in the center of the lattice. This stem cell can only perform asymmetric divisions. The progenitor cells (orange) generated by these divisions are endorsed with a maximum of six potential cell divisions. Each of the first five divisions yield two progenitor daughter cells, whereas the sixth division produces two differentiated cells (blue). Newly generated cells (except the cloned stem cell) are subject to the possibility of cell death. Dead cells are marked by black color. At iteration number t=10, a randomly selected progenitor cell is transformed into a brain tumor stem cell (BTSC). Due to the encapsulation of the two BTSCs (green) that arise through symmetric division from the original BTSC, the neurosphere does not grow into a tumorous neurosphere.
A self-written Matlab script was used for computations and video creation.
