title: Cell commitment motif composed of progenitor-specific transcription factors and mutual-inhibition regulation.
abstract: Simple mutual-inhibition networks are frequently occurring motifs in transcriptional regulatory networks for cell lineage commitment. Stable attractors represent cell commitment states. However, how progenitor-specific transcription factors stabilise progenitor cells and commit them to different cell fates remains unexplained. In this study, the authors represent the cell commitment motifs composed of mutual-inhibition regulation and progenitor-specific transcription factors, and develop associated mathematical model to understand how specific cell fate decisions are made. Bifurcation analysis and numerical simulation show that the model could exhibit multiple stable steady states corresponding to progenitor and committed cell states. The transitions between different cell states correspond to different commitment processes. Furthermore, the authors demonstrate that different commitment patterns, for example, haematopoietic and neural fate decisions fall within the scope of proposed framework.
authors: Department of Mathematics, Institute of Systems Biology, Shanghai University, Shanghai 200444, People's Republic of China. wangtongpeng@gmail.com.
authors: Tongpeng
authors: T
authors: Wang
authors: Institute of Systems Biology, Shanghai University, Shanghai 200444, People's Republic of China.
authors: Shanshan
authors: S
authors: Li
authors: Institute of Systems Biology, Shanghai University, Shanghai 200444, People's Republic of China.
authors: Yanwei
authors: Y
authors: Liu
authors: Institute of Systems Biology, Shanghai University, Shanghai 200444, People's Republic of China.
authors: Ruiqi
authors: R
authors: Wang
mesh_terms: D000818:Animals; D002454:Cell Differentiation / Q000502:physiology*; D019070:Cell Lineage / Q000502:physiology*; D003198:Computer Simulation; D025461:Feedback, Physiological / Q000502:physiology; D005786:Gene Expression Regulation / Q000502:physiology*; D006801:Humans; D008954:Models, Biological; D013234:Stem Cells / Q000166:cytology* / Q000502:physiology*; D014157:Transcription Factors / Q000502:physiology*; D015533:Transcriptional Activation / Q000502:physiology*
chemical_list: D014157:Transcription Factors