Systems-Level Modeling of Cancer-Fibroblast Interaction (original) (raw)

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Figure 5

Mathematical modeling of cancer-fibroblast interaction.

A)–C) Decomposition of the co-culture matrix into 3 component matrices. When applicable, cancer and fibroblast cell lines are divided into two groups (X, green, and Y, purple) such that interactions within the same group make growth-stimulatory (i.e. positive) contributions to the estimated co-culture ratio and interactions between opposite groups make growth-inhibitory (i.e. negative) contributions to the estimated co-culture ratio. P values refer to tissue of origin segregation between X and Y groups. Circles indicate the interaction between T47D and AG04351, and squares indicate the interaction between T47D and AG09877. Red refers to growth-stimulatory interactions and blue to growth-suppressive interactions, with intensity corresponding to the strength of the effect and scaled independently within each matrix.

Figure 5

doi: https://doi.org/10.1371/journal.pone.0006888.g005