arXiv · 2412.00667
Mapping, modeling, and reprogramming cell-fate decision making systems
Abstract
Many cellular processes involve information processing and decision making. We can probe these processes at increasing molecular detail. The analysis of heterogeneous data remains a challenge that requires new ways of thinking about cells in quantitative, predictive, and mechanistic ways. We discuss the role of mathematical models in the context of cell-fate decision making systems across the tree of life. Complex multi-cellular organisms have been a particular focus, but single celled organisms also have to sense and respond to their environment. We center our discussion around the idea of design principles which we can learn from observations and modeling, and exploit in order to (re)-design or guide cellular behavior.
Explore related subjects
Keep this discovery
Lucy Ham, Taylor E. Woodford, Megan A. Coomer, Michael P. H. Stumpf. 2024-12-01. Mapping, modeling, and reprogramming cell-fate decision making systems. https://arxiv.org/abs/2412.00667
Cite the original work for its findings. Save a collection to share your selection of sources.