%0 Online Multimedia %A Ghaffarizadeh, Ahmadreza %A Heiland, Randy %A Friedman, Samuel %A Mumenthaler, Shannon %A Macklin, Paul %D 2017 %T PhysiCell Demo: anti-cancer bio-robots %U https://figshare.com/articles/media/PhysiCell_Demo_anti-cancer_bio-robots/5721145 %R 10.6084/m9.figshare.5721145.v1 %2 https://ndownloader.figshare.com/files/10055797 %K PhysiCell %K open source %K agent-based models %K biorobots %K therapy %K cancer %K biomathematics %K synthetic biology %K systems biology %K Computational Biology %K Synthetic Biology %K Systems Biology %K Simulation and Modelling %K Bioinformatics Software %K Open Software %K Cancer %K Cancer Therapy (excl. Chemotherapy and Radiation Therapy) %X

This is Video S6 in Ghaffarizadeh et al. (2018). A higher-resolution (1080p) video can be streamed at https://www.youtube.com/watch?v=wuDZ40jW__M

Paper: https://doi.org/10.1371/journal.pcbi.1005991

Using PhysiCell to test design rules for biorobots as a cancer treatment.

Here, we construct two cell types as a bio-robotic cargo delivery system.

1) "Cargo" cells secrete a chemoattractant to attract worker cells when they don't have cargo. They turn off the chemoattractant once they are found. Cargo cells detach themselves in hypoxic regions and secrete a therapeutic drug.

2) "Worker" cells chemotax towards cargo cells, test for presence of a receptor, and dock if it's present. They haul cargo chemotactically towards hypoxic regions.

Cancer cells (green) have a drug-induced damage model in this simulation, and undergo apoptosis at a rate proportional to their damage.

This system successfully delivers a drug past biotransport limits into a growing tumor, without need for tumor-specific "homing".

This simulation took a few hours to design, and ran in about 12 minutes on a desktop workstation, with data saved once per simulated minute. (2,880 save times) Simulations without file I/O are significantly faster.

Legend:

Green cells: cancer cells

Blue cells: “Cargo” cells

Red cells: “worker” cells

This work is based on PhysiCell, an open source 3-D modeling package for multicellular biology at http://PhysiCell.MathCancer.org.

Method: Demonstration of PhysiCell, an agent-based, lattice-free model. Cell velocities determined by balance of adhesive, repulsive, and motile forces. Each cell has a phenotypic state governed by stochastic processes derived from nonhomogeneous Poisson processes.

Software source: PhysiCell is available as open source at http://PhysiCell.MathCancer.org, http://PhysiCell.sf.net, and https://github.com/mathcancer/physicell/releases.

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