Attractors are less stable than their basins: Canalization creates a coherence gap in gene regulatory networks

  • 0Department of Integrative Biology and Physiology, University of California, Los Angeles, CA, 90095, United States.

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Summary

This summary is machine-generated.

Cellular differentiation is robust due to canalization, which stabilizes development but makes mature cell states less stable, allowing for plasticity. This revises Waddington's epigenetic landscape model.

Area Of Science

  • Systems Biology
  • Developmental Biology
  • Computational Biology

Background

  • Waddington's epigenetic landscape metaphor models cellular differentiation.
  • Boolean networks formalize gene regulatory dynamics and landscapes.
  • Traditional stability measures inadequately assess attractor robustness.

Purpose Of The Study

  • Formalize and analyze attractor coherence for stability of cell phenotypes.
  • Investigate the stability paradox between attractors and developmental trajectories.
  • Understand the role of canalization in biological robustness and plasticity.

Main Methods

  • Analyzed 122 expert-curated biological Boolean models.
  • Performed large-scale simulations of random gene regulatory networks.
  • Quantified attractor coherence and network bias.

Main Results

  • Mature cell attractors are less stable than developmental trajectories.
  • A coherence gap exists, with attractors near basin boundaries.
  • Canalization, while ensuring developmental robustness, creates this gap.
  • Network bias strongly predicts the coherence gap magnitude (<math><mi>ρ</mi> <mo>=</mo> <mo>-</mo> <mn>0.997</mn></math>).

Conclusions

  • Canalization creates robust development and allows for phenotypic plasticity.
  • Findings revise Waddington's landscape, explaining dual robustness and plasticity.
  • Implications for understanding development, disease, and synthetic biology circuits.

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