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Optimal performance objectives in the highly conserved bone morphogenetic protein signaling pathway.

Razeen Shaikh1, Nissa J Larson2, Jayden Kam1

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The BMP-Smad pathway balances cellular response speed, noise filtering, and sensitivity by tuning non-conserved parameters. This signaling pathway efficiently optimizes trade-offs across species, demonstrating context-specific tuning for diverse cellular functions.

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Area of Science:

  • Cellular Biology
  • Systems Biology
  • Biophysics

Background:

  • Cell signaling pathways, like transforming growth factor β (TGF-β), are critical for cellular decision-making.
  • The BMP/Smad pathway is essential but exhibits context-dependent system behaviors despite conserved structure.
  • Cellular systems require different performance objectives, such as rapid responses or noise filtering.

Purpose of the Study:

  • To investigate how the BMP-Smad pathway balances trade-offs between response speed, noise amplification, and input sensitivity.
  • To determine the role of non-conserved parameters (NCPs) in tuning these performance objectives.
  • To assess if the BMP pathway achieves Pareto optimality in balancing competing requirements.

Main Methods:

  • Developed a Smad pathway model calibrated with human cell data.
  • Analyzed the impact of varying NCPs, including protein concentrations and nuclear phosphatase levels.
  • Applied the Pareto Front concept from multi-objective optimization to evaluate trade-offs.

Main Results:

  • Varying NCPs allows the Smad pathway to be tuned for specific performance objectives.
  • Nuclear phosphatase concentration significantly influences the tuning of performance objectives.
  • The BMP pathway demonstrates efficient balancing of competing objectives across species, largely achieving Pareto optimality.

Conclusions:

  • The Smad signaling pathway's performance is context-dependent due to the tunable nature of NCPs.
  • Optimal tuning of signaling pathways for specific cellular contexts is achieved through balancing competing performance objectives.
  • The BMP pathway exemplifies efficient, Pareto optimal balancing of diverse system-level requirements.