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Cell-Sorting at the A/P Boundary in the Drosophila Wing Primordium: A Computational Model to Consolidate Observed Non-Local Effects of Hh Signaling

Figure 5

Parameter dependency.

Different parameter choices for the energy function are observed to lead to compartment boundaries of varying stringency and straightness, but they will also influence descriptive statistics for cell and clonal shape distributions. The settings in the first row demonstrate the best overall fit to experimental data generated here and in ref [16], [21]. For each parameter set, we ran the simulations 10 times without the insertion of smo mutant cells (columns B–C), and 10 times with mutant cell insertions (column D). A) Zoom () into the boundary region of a typical simulated wing pouch. B) Average apical cross-section areas of n-sided cells as a function of the polygon number n. Areas are normalized to the average apical cross - section area of each disc. C) Distribution of average polygon numbers. B) and C): Mean, and standard error of the mean (SEM), are shown for data and simulations. D) Straight lines denote the moving average of the clonal (red) and twin spot (blue) shape distributions.

Figure 5

doi: https://doi.org/10.1371/journal.pcbi.1002025.g005