A mathematical model of cell fate selection on a dynamic tissue
Autor: | James M. Osborne, Domenic P.J. Germano |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Statistics and Probability Cellular differentiation Motility Cell fate determination Biology Models Biological General Biochemistry Genetics and Molecular Biology 03 medical and health sciences 0302 clinical medicine Cell Movement Cell Behavior (q-bio.CB) Homeostasis Tissues and Organs (q-bio.TO) Process (anatomy) Selection (genetic algorithm) Calcium signaling General Immunology and Microbiology Applied Mathematics Cell Differentiation Quantitative Biology - Tissues and Organs General Medicine Cell biology Multicellular organism 030104 developmental biology Modeling and Simulation FOS: Biological sciences Quantitative Biology - Cell Behavior General Agricultural and Biological Sciences 030217 neurology & neurosurgery |
Popis: | Multicellular tissues are the building blocks of many biological systems and organs. These tissues are not static, but dynamically change over time. Even if the overall structure remains the same there is a turnover of cells within the tissue. This dynamic homeostasis is maintained by numerous governing mechanisms which are finely tuned in such a way that the tissue remains in a homeostatic state, even across large timescales. Some of these governing mechanisms include cell motion, and cell fate selection through inter cellular signalling. However, it is not yet clear how to link these two processes, or how they may affect one another across the tissue. In this paper, we present a multicellular, multiscale model, which brings together the two phenomena of cell motility, and inter cellular signalling, to describe cell fate selection on a dynamic tissue. We find that the affinity for cellular signalling to occur greatly influences a cells ability to differentiate. We also find that our results support claims that cell differentiation is a finely tuned process within dynamic tissues at homeostasis, with excessive cell turnover rates leading to unhealthy (undifferentiated and unpatterned) tissues. |
Databáze: | OpenAIRE |
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