Analysis of differentiation ratio regulation dynamics in a globally coupled cell population model based on its reduced models

The mathematical model of a cell population interacting through a common pool (external environment) is a representative model of spatial-independent cell differentiation. This model shows an interesting phenomenon: the ratio of cell differentiation (differentiation ratio) is restricted to a specific range. However, the number of variables increases as the number of cells increases, making the analysis difficult for large cell populations. Therefore, this study takes “symmetry” of the cell population model into account, introducing two different reduced models to decrease the number of variables. Through simulations and bifurcation analyses, several aspects of the differentiation ratio regulation dynamics in the original model are revealed.

Authors

Institutions

Publication Details

Journal
Nonlinear Theory and Its Applications IEICE
Published
2024-12-31
DOI
https://doi.org/10.1587/nolta.16.168
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of differentiation ratio regulation dynamics in a globally coupled cell population model based on its reduced models

Shinji Doi, Ryuto Okubo, Shunto Kawae
Nonlinear Theory and Its Applications IEICE
Gene Regulatory Network Analysis
article

Analysis of differentiation ratio regulation dynamics in a globally coupled cell population model based on its reduced models

Shinji Doi, Ryuto Okubo, Shunto Kawae
article en

Abstract

The mathematical model of a cell population interacting through a common pool (external environment) is a representative model of spatial-independent cell differentiation. This model shows an interesting phenomenon: the ratio of cell differentiation (differentiation ratio) is restricted to a specific range. However, the number of variables increases as the number of cells increases, making the analysis difficult for large cell populations. Therefore, this study takes “symmetry” of the cell population model into account, introducing two different reduced models to decrease the number of variables. Through simulations and bifurcation analyses, several aspects of the differentiation ratio regulation dynamics in the original model are revealed.

Nonlinear Theory and Its Applications IEICEVol. 16(1)
Kyoto University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 79%
Gene Regulatory Network Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.