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CRISPR-Mediated Reorganization of Chromatin Loop Structure
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Bistability, bifurcations, and Waddington's epigenetic landscape.

James E Ferrell1

  • 1Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305-5174, USA.

Current Biology : CB
|June 9, 2012
PubMed
Summary
This summary is machine-generated.

Waddington's epigenetic landscape model requires revision. Cell-fate induction involves irreversible valley disappearance, not bifurcation, while lateral inhibition better fits the original model.

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Area of Science:

  • Developmental Biology
  • Epigenetics
  • Cell Biology

Background:

  • Waddington's epigenetic landscape is a key metaphor for cell-fate determination.
  • The model depicts cells as balls rolling through bifurcating valleys representing cell fates.
  • The stability of cell fates is maintained by ridges between valleys.

Purpose of the Study:

  • To evaluate if models of cell-fate induction and lateral inhibition align with Waddington's epigenetic landscape.
  • To explore the mathematical underpinnings of cell-fate commitment.
  • To propose an alternative epigenetic landscape model.

Main Methods:

  • Analysis of mathematical models for cell-fate induction and lateral inhibition.
  • Comparison of model dynamics with Waddington's landscape metaphor.
  • Investigation of bifurcation types (saddle-node and pitchfork) in developmental processes.

Main Results:

  • Cell-fate induction does not resemble Waddington's landscape; it involves irreversible valley disappearance via saddle-node bifurcation.
  • Lateral inhibition aligns better with Waddington's model, showing reversible valley splitting through pitchfork bifurcation.
  • A revised epigenetic landscape is proposed, featuring initial valleys and ridges that change irreversibly.

Conclusions:

  • Waddington's epigenetic landscape metaphor requires refinement to accurately represent cell-fate induction.
  • Cell-fate commitment involves irreversible changes, best described by saddle-node bifurcations.
  • An alternative model incorporating initial landscape complexity and irreversible changes offers a more comprehensive view of development.