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From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment response

Fig 2

Computational model overview.

A) Flow chart shows key decision points in the model. Tissue processes are connected with thick black lines, while the cell loop for single cell processes are contained within the gray box and connected with thin black lines. At the start of each time step (green arrow), we calculate the density and find the activated and inactivated subsets of cells. All activated cells are checked for quiescence, division, migration, and PDGF interactions as shown. Then PDGF decay and diffusion occurs before moving onto the next time step. The infected and recruited cells respond differently to PDGF due to B) an autocrine stimulation for infected cells (CPA in Eq 2) and C) a decreased activation barrier for recruited cells (β in Eq 2). Increasing CPA shifts the response upward at low CPP. Decreasing β increases the slope to achieve high response at lower CPP, while still inactive at CPP = 0.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1007672.g002