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Biophys J. 2018 Jan 9;114(1):237-248. doi: 10.1016/j.bpj.2017.10.033.

Network Features and Dynamical Landscape of Naive and Primed Pluripotency.

Author information

1
Laboratoire de Physique des Lasers, Atomes et Molécules, Université de Lille, CNRS, Villeneuve d'Ascq, France. Electronic address: benjamin.pfeuty@univ-lille1.fr.
2
Stem Cell and Brain Research Institute, Univ. Lyon, Université Claude Bernard Lyon 1, INSERM, INRA, U1208, USC1361, Bron, France.

Abstract

Although the broad and unique differentiation potential of pluripotent stem cells relies on a complex transcriptional network centered around Oct4, Sox2, and Nanog, two well-distinct pluripotent states, called "naive" and "primed", have been described in vitro and markedly differ in their developmental potential, their expression profiles, their signaling requirements, and their reciprocal conversion. Aiming to determine the key features that segregate and coordinate these two states, data-driven optimization of network models is performed to identify relevant parameter regimes and reduce network complexity to its core structure. Decision dynamics of optimized networks is characterized by signal-dependent multistability and strongly asymmetric transitions among naive, primed, and nonpluripotent states. Further model perturbation and reduction approaches reveal that such a dynamical landscape of pluripotency involves a functional partitioning of the regulatory network. Specifically, two overlapping positive feedback modules, Klf4/Esrrb/Nanog and Oct4/Nanog, stabilize the naive or the primed state, respectively. In turn, their incoherent feedforward and negative feedback coupling mediated by the Erk/Gsk3 module is critical for robust segregation and sequential progression between naive and primed states before irreversible exit from pluripotency.

PMID:
29320691
PMCID:
PMC5773751
[Available on 2019-01-09]
DOI:
10.1016/j.bpj.2017.10.033

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