2007/12/04 by Akihiko Nakajima, Nakajima, Akihiko, Kunihiko Kaneko +1
Biochemistry, Genetics and Molecular Biology · Mathematics · #Cell Behavior (q-bio.CB) #Evolution and Genetic Dynamics #FOS: Biological sciences #Gene Regulatory Network Analysis #Mathematical Biology Tumor Growth
paper · pdf · doi:10.48550/arxiv.0712.0545
openalex publication_date 2007/12/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In multicellular organisms, several cell states coexist. For determining each cell type, cell-cell interactions are often essential, in addition to intracellular gene expression dynamics. Based on dynamical systems theory, we propose a mechanism for cell differentiation with regulation of populations of each cell type by taking simple cell models with gene expression dynamics. By incorporating several interaction kinetics, we found that the cell models with a single intracellular positive-feedback loop exhibit a cell fate switching, with a change in the total number of cells. The number of a given cell type or the population ratio of each cell type is preserved against the change in the total number of cells, depending on the form of cell-cell interaction. The differentiation is a result of bifurcation of cell states via the intercellular interactions, while the population regulation is explained by self-consistent determination of the bifurcation parameter through cell-cell interactions. The relevance of this mechanism to development and differentiation in several multicellular systems is discussed.