Analysis of differentiation/dedifferentiation dynamics of undifferentiated cells using mathematical modeling

本研究的目的是利用计算模型来了解干细胞的分化动力学。我们筛选了能够产生干细胞分化动力学的基因调控网络，以确定分化动力学的一般特征。作为结果，我们发现干细胞通常具有振荡表达动力学，并且还确定了产生这种分化动力学的调控网络的特征。基于这些理解，我们构建了一个计算模型来表示小鼠早期发育中的分化动力学。

The purpose of this study is to understand differentiation dynamics of stem cells using computational models. We screened gene regulatory networks which can generate stem cell differentiation dynamics to identify general features of the differentiation dynamics. As results, we found that stem cells generally have oscillatory expression dynamics, and also identified characteristics of regulatory networks generating such differentiation dynamics. Based on these understandings, we constructed a computational model to represent differentiation dynamics in mouse early development.