Data and simulation code for paper 'Adhesion-driven invasion: disentangling the interplay between cell-cell and cell-matrix interactions in cancer cell migration' (Biophysical Journal, 2026)

This repository accompanies the research article “Adhesion-driven invasion: disentangling the interplay between cell-cell and cell-matrix interactions in cancer cell migration” (Biophysical Journal, 2026). In the paper, we study cell invasion into the extracellular matrix. The simulation data was generated using simulations based on the Cellular Potts model in CompuCell3D [1]. The simulations were analysed using an in-house MATLAB script based on Hou et al. (2018) [2]. Simulation code and raw data The zip-folder 'NetworkRadialECM_LeaderOnly168' contains the simulation code and data for the parameters we ran in the manuscript. The data is for the ECM network with a radial geometry. Simulations were run for 210 conditions. For each condition, 50 independent simulations were run. Force per ECM binding site (kappa) 0, 1, 2, 3, 4, 5 Cell-cell adhesion strength (JCC) 0, 1, 2, 3, 4, 5, 6 Cell-matrix adhesion strength (JCF) 0, 1, 2, 4, 6 For each simulation, we stored the snapshots (as VTK files) every 1000 mcs. These are included in the zip-folder. We also ran simulations for a random ECM network, and for different system sizes. The processed data is avaible in the Supplementary Material of the publication and the raw simulation data is available upon request. Spheroid analysis The simulations were analysed using an in-house MATLAB script based on Hou et al. (2018). The processed data is available in the zip-folders: AnalysisTASI_*.zip. This data set contains the processed TIFF images based on the VTK files as well as the excel sheet Migration.csv with the analysis results. References [1] Swat, Thomas, Belmonte, Shirinifard, Hmeljak and Glazier. Chapter 13 - Multi-scale modeling of tissues using CompuCell3D. Methods in Cell Biology, 110 (2012). 325-366. https://doi.org/10.1016/B978-0-12-388403-9.00013-8 [2] Hou, Konen, Brat, Markus and Cooper. TASI: A software tool for spatial-temporal quantification of tumor spheroid dynamics. Scientific Reports, 8 (2018). 7248. https://doi.org/10.1038/s41598-018-25337-4