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#PhysiBoSS

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Posts tagged #PhysiBoSS

To conclude, this tutorial shows that #PhysiBoSS modeling doesn't require C++ coding skills, and is now simpler thanks to #PhysiCell Studio (even for advanced users). We hope this work will help a larger community to get into the multiscale modeling world.

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Finally, we show a complete rewrite of @MRuscone
cancer invasion model, removing most of the C++ code, and replacing it with the new mapping system. A larger scale, real-world example of how to use the latest #PhysiBoSS functionalities!

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Video

Third example had to be an immune example, since this is the most important application for #PhysiBoSS! We describe DCs, attracted by the CCL21 gradient toward the lymph node. There, they activate naive T-cells which differentiate in TH1,TH17 and Tregs (model from Corral et al.).

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The second has been one of our goals with #PhysiBoSS for a long time: a signaling-controlled cell cycle model. Using the #Boolean model from Sizek et al., we link the cyclins to the transitions of the phases of the cell cycle. With that, we can reproduce the effect of mutants!

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The first example is inspired by the TNF example of the original #PhysiBoSS. It shows how to quickly map a substrate concentration to a Boolean input, and an output to #PhysiCell's apoptosis and necrosis. It simulates long vs pulsatile treatment, necrotic core, and clonality!

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Our #PhysiBoSS tutorial is now available at Briefings in Bioinformatics: academic.oup.com/bib/article/.... Learn how to build #multiscale models with #Boolean intracellular signaling, without any code, using #PhysiCell Studio! Showing three simple examples, and an update of Ruscone's invasion model👇

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To conclude, this tutorial shows that #PhysiBoSS modeling doesn't require C++ coding skills, and is now simpler thanks to #PhysiCell Studio (even for advanced users). We hope this work will help a larger community to get into the multiscale modeling world.

2 0 1 0
Post image

Finally, we show a complete rewrite of @MRuscone
cancer invasion model, removing most of the C++ code, and replacing it with the new mapping system. A larger scale, real-world example of how to use the latest #PhysiBoSS functionalities!

0 0 1 0
Post image

Third example had to be an immune example, since this is the most important application for #PhysiBoSS! We describe DCs, attracted by the CCL21 gradient toward the lymph node. There, they activate naive T-cells which differentiate in TH1,TH17 and Tregs (model from Corral et al.).

0 0 1 0
Post image

The second has been one of our goals with #PhysiBoSS for a long time: a signaling-controlled cell cycle model. Using the #Boolean model from Sizek et al., we link the cyclins to the transitions of the phases of the cell cycle. With that, we can reproduce the effect of mutants!

0 0 1 0
Post image

The first example is inspired by the TNF example of the original #PhysiBoSS. It shows how to quickly map a substrate concentration to a Boolean input, and an output to #PhysiCell's apoptosis and necrosis. It simulates long vs pulsatile treatment, necrotic core, and clonality!

0 0 1 0
PhysiBoSS

PhysiBoSS

Our #PhysiBoSS tutorial is finally available as a preprint: arxiv.org/abs/2406.18371! Learn how to build #multiscale models with #Boolean intracellular signaling, without any code, using #PhysiCell Studio. Showing 3 simple examples, and an update of @MRuscone
invasion model 👇

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