Cell commitment motif composed of progenitor‐specific transcription factors and mutual‐inhibition regulation. Issue 4 (1st August 2014)

• Record Type: Journal Article
• Authors: Wang, Tongpeng; Li, Shanshan; Liu, Yanwei; Wang, Ruiqi
• Is Part Of: IET systems biology. Volume 8:Issue 4(2014)
• Page Start: 129
• Page End: 137
• Publication Date: 2014-08-01
• Subjects: cellular biophysics -- physiological models -- bifurcation -- numerical analysis -- neurophysiology; cell fate decisions -- haematopoietic fate decisions -- neural fate decisions -- numerical simulation -- bifurcation analysis -- mathematical model -- progenitor cells -- cell commitment states -- cell lineage commitment -- transcriptional regulatory networks -- mutual‐inhibition networks -- mutual‐inhibition regulation -- progenitor‐specific transcription factors -- cell commitment motif; Systems biology -- Periodicals; Cell physiology -- Periodicals; Biological systems -- Mathematical models -- Periodicals; Genetics -- Mathematical models -- Periodicals; Computational biology -- Periodicals; 573
• DOI: 10.1049/iet-syb.2013.0051
• Languages: English
• ISSNs: 1751-8849

Abstract

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.