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Related Concept Videos

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Updated: May 30, 2025

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Multicellular PID control for robust regulation of biological processes.

Vittoria Martinelli1, Davide Fiore1, Davide Salzano2

  • 1Department of Mathematics and Applications, 'R. Caccioppoli' University of Naples Federico II Via Cintia Monte S.Angelo, Naples 80126, Italy.

Journal of the Royal Society, Interface
|January 29, 2025
PubMed
Summary

This study introduces the first proportional-integral-derivative (PID) biomolecular controller in multiple cell populations for robust biological process regulation. The multicellular PID strategy demonstrates effectiveness and robustness in silico, paving the way for advanced biotechnological applications.

Keywords:
biological controlgenetic regulatory systemsproportional-integral-derivative controlsynthetic biology

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Area of Science:

  • Synthetic Biology
  • Control Theory
  • Computational Biology

Background:

  • Current biological process control methods face limitations in robustness and precision.
  • Multicellular systems offer potential for complex, cooperative biological functions.
  • Biomolecular controllers are crucial for engineering predictable cellular behavior.

Purpose of the Study:

  • To implement and analyze a proportional-integral-derivative (PID) biomolecular controller in a consortium of engineered cell populations.
  • To evaluate the performance and robustness of different control architectures (P, PD, PI, PID) within a multicellular context.
  • To demonstrate the potential of a multicellular PID control strategy for robust regulation of biological processes.

Main Methods:

  • Development of a theoretical framework for multicellular PID biomolecular control.
  • Comprehensive in silico analysis of P, PD, PI, and PID control architectures.
  • Validation using the BSim agent-based simulation platform for bacterial populations.

Main Results:

  • The multicellular PID control strategy exhibits significant robustness and effectiveness in silico.
  • The study provides a detailed analysis comparing different PID control variants in a multicellular setting.
  • Demonstrated the feasibility of using cooperative cell population dynamics for precise biological regulation.

Conclusions:

  • The implemented multicellular PID biomolecular controller represents a significant advancement in robust biological process regulation.
  • This approach holds substantial promise for applications in metabolic engineering, therapeutics, and industrial biotechnology.
  • Future research will focus on in vivo experimental validation and further model refinement.