The complex landscape of haematopoietic lineage commitments is encoded in the coarse-grained endogenous network. Issue 11 (3rd November 2021)

• Record Type: Journal Article
• Authors: Wang, Mengyao; Wang, Junqiang; Zhang, Xingxing; Yuan, Ruoshi
• Is Part Of: Royal Society open science. Volume 8:Issue 11(2021)
• Publication Date: 2021-11-03
• Subjects: system biology -- dynamical model -- gene regulatory network -- lineage commitment -- landscape; Science -- Periodicals; 500
• DOI: 10.1098/rsos.211289
• Languages: English
• ISSNs: 2054-5703

Abstract

Abstract : Haematopoietic lineage commitments are presented by a canonical roadmap in which haematopoietic stem cells or multipotent progenitors (MPPs) bifurcate into progenitors of more restricted lineages and ultimately mature to terminally differentiated cells. Although transcription factors playing significant roles in cell-fate commitments have been extensively studied, integrating such knowledge into the dynamic models to understand the underlying biological mechanism remains challenging. The hypothesis and modelling approach of the endogenous network has been developed previously and tested in various biological processes and is used in the present study of haematopoietic lineage commitments. The endogenous network is constructed based on the key transcription factors and their interactions that determine haematopoietic cell-fate decisions at each lineage branchpoint. We demonstrate that the process of haematopoietic lineage commitments can be reproduced from the landscape which orchestrates robust states of network dynamics and their transitions. Furthermore, some non-trivial characteristics are unveiled in the dynamical model. Our model also predicted previously under-represented regulatory interactions and heterogeneous MPP states by which distinct differentiation routes are intermediated. Moreover, network perturbations resulting in state transitions indicate the effects of ectopic gene expression on cellular reprogrammes. This study provides a predictive model to integrate experimental data and uncover the possible regulatory mechanism of haematopoietic lineage commitments.