A general mathematical framework for understanding the behavior of heterogeneous stem cell regeneration
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arXiv
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| Format: | Preprint |
| Published: |
2019
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| _version_ | 1866913425503813632 |
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| author | Lei, Jinzhi |
| author_facet | Lei, Jinzhi |
| contents | Stem cell heterogeneity is essential for the homeostasis in tissue development. This paper established a general formulation for understanding the dynamics of stem cell regeneration with cell heterogeneity and random transitions of epigenetic states. The model generalizes the classical G0 cell cycle model, and incorporates the epigenetic states of stem cells that are represented by a continuous multidimensional variable and the kinetic rates of cell behaviors, including proliferation, differentiation, and apoptosis, that are dependent on their epigenetic states. Moreover, the random transition of epigenetic states is represented by an inheritance probability that can be described as a conditional beta distribution. This model can be extended to investigate gene mutation-induced tumor development. The proposed formula is a generalized formula that helps us to understand various dynamic processes of stem cell regeneration, including tissue development, degeneration, and abnormal growth. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_1903_11448 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | A general mathematical framework for understanding the behavior of heterogeneous stem cell regeneration Lei, Jinzhi Populations and Evolution Cell Behavior Stem cell heterogeneity is essential for the homeostasis in tissue development. This paper established a general formulation for understanding the dynamics of stem cell regeneration with cell heterogeneity and random transitions of epigenetic states. The model generalizes the classical G0 cell cycle model, and incorporates the epigenetic states of stem cells that are represented by a continuous multidimensional variable and the kinetic rates of cell behaviors, including proliferation, differentiation, and apoptosis, that are dependent on their epigenetic states. Moreover, the random transition of epigenetic states is represented by an inheritance probability that can be described as a conditional beta distribution. This model can be extended to investigate gene mutation-induced tumor development. The proposed formula is a generalized formula that helps us to understand various dynamic processes of stem cell regeneration, including tissue development, degeneration, and abnormal growth. |
| title | A general mathematical framework for understanding the behavior of heterogeneous stem cell regeneration |
| topic | Populations and Evolution Cell Behavior |
| url | https://arxiv.org/abs/1903.11448 |