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Pattern selection by dynamical biochemical signals.

David Palau-Ortin1, Pau Formosa-Jordan1, José M Sancho1

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Cellular development relies on biochemical signals for pattern formation. This study reveals a new mechanism where changing signal dynamics, not initial conditions, guides pattern selection in developing tissues.

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Area of Science:

  • Developmental biology
  • Systems biology
  • Computational biology

Background:

  • Multicellular development involves cells making fate decisions guided by spatiotemporally coordinated biochemical signals.
  • Pattern formation often arises from complex genetic nonlinear interactions and positive feedback loops, potentially leading to multiple stable patterns.
  • Understanding how a specific pattern is selected from multiple stable options is crucial for developmental processes.

Purpose of the Study:

  • To computationally investigate a dynamical mechanism for developmental pattern selection within the Notch signaling pathway.
  • To explore how spatiotemporal changes in control parameters, driven by biochemical signals, can direct pattern selection.
  • To analyze three distinct scenarios of signal delivery (simultaneous, clustered, propagating) and their impact on pattern selection.

Main Methods:

  • Computational modeling of the Notch signaling pathway dynamics.
  • Characterization of pattern selection through parameter space exploration.
  • Analysis of three distinct spatiotemporal signaling scenarios.

Main Results:

  • A dynamical mechanism for pattern selection was identified, driven by spatiotemporal changes in control parameters, distinct from initial condition or noise-driven selection.
  • Key elements for selection include initial pattern destabilization, exploration of patterns based on parameter change symmetry, and the relative speeds of parameter changes versus pattern formation timescales.
  • Each signaling scenario (simultaneous, clustered, propagating) resulted in distinct pattern selection features and outcomes.

Conclusions:

  • The study proposes a novel mechanism for developmental pattern selection mediated by dynamic changes in signaling parameters.
  • This mechanism extends the concept of selection from cell-autonomous decisions to collective cell-to-cell interactions in developing systems.
  • The findings offer new insights into how developing tissues achieve specific spatial patterns through guided dynamic processes.