ArticleBMC systems biology2015
Increased robustness of early embryogenesis through collective decision-making by key transcription factors.
Article in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- A computational model of stem cells' internal mechanism to recapitulate spatial patterning and maintain the self-organized pattern in the homeostasis state.Scientific reports · 2024Article
- Correspondence between multiple signaling and developmental cellular patterns: a computational perspective.Frontiers in cell and developmental biology · 2024Article
- A computational model of stem cells' decision-making mechanism to maintain tissue homeostasis and organization in the presence of stochasticity.Scientific reports · 2022Article
- The complex landscape of haematopoietic lineage commitments is encoded in the coarse-grained endogenous network.Royal Society open science · 2021Article
- Adaptive Landscape Shaped by Core Endogenous Network Coordinates Complex Early Progenitor Fate Commitments in Embryonic Pancreas.Scientific reports · 2020Article
- A computational model of stem cell molecular mechanism to maintain tissue homeostasis.PloS one · 2020Article
- Article
- Development and utilization of human decidualization reporter cell line uncovers new modulators of female fertility.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
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10 authors.
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Abstract
backgroundUnderstanding the mechanisms by which hundreds of diverse cell types develop from a single mammalian zygote has been a central challenge of developmental biology. Conrad H. Waddington, in his metaphoric "epigenetic landscape" visualized the early embryogenesis as a hierarchy of lineage bifurcations. In each bifurcation, a single progenitor cell type produces two different cell lineages. The tristable dynamical systems are used to model the lineage bifurcations. It is also shown that a genetic circuit consisting of two auto-activating transcription factors (TFs) with cross inhibitions can form a tristable dynamical system.
resultsWe used gene expression profiles of pre-implantation mouse embryos at the single cell resolution to visualize the Waddington landscape of the early embryogenesis. For each lineage bifurcation we identified two clusters of TFs - rather than two single TFs as previously proposed - that had opposite expression patterns between the pair of bifurcated cell types. The regulatory circuitry among each pair of TF clusters resembled a genetic circuit of a pair of single TFs; it consisted of positive feedbacks among the TFs of the same cluster, and negative interactions among the members of the opposite clusters. Our analyses indicated that the tristable dynamical system of the two-cluster regulatory circuitry is more robust than the genetic circuit of two single TFs.
conclusionsWe propose that a modular hierarchy of regulatory circuits, each consisting of two mutually inhibiting and auto-activating TF clusters, can form hierarchical lineage bifurcations with improved safeguarding of critical early embryogenesis against biological perturbations. Furthermore, our computationally fast framework for modeling and visualizing the epigenetic landscape can be used to obtain insights from experimental data of development at the single cell resolution.
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