Coordinated Spatial Pattern Formation in Biomolecular Communication Networks

Yutaka Hori, Hiroki Miyazako, Soichiro Kumagai, Shinji Hara

Research output: Contribution to journalArticle

Abstract

This paper proposes a control theoretic framework to model and analyze the self-organized pattern formation of molecular concentrations in biomolecular communication networks, emerging applications in synthetic biology. In biomolecular communication networks, bionanomachines, or biological cells, communicate with each other using a cell-to-cell communication mechanism mediated by a diffusible signaling molecule, thereby the dynamics of molecular concentrations are approximately modeled as a reaction-diffusion system with a single diffuser. We first introduce a feedback model representation of the reaction-diffusion system and provide a systematic local stability/instability analysis tool using the root locus of the feedback system. The instability analysis then allows us to analytically derive the conditions for the self-organized spatial pattern formation, or Turing pattern formation, of the bionanomachines. We propose a novel synthetic biocircuit motif called activator-repressor-diffuser system and show that it is one of the minimum biomolecular circuits that admit self-organized patterns over cell population.

Original languageEnglish
Article number7328285
Pages (from-to)111-121
Number of pages11
JournalIEEE Transactions on Molecular, Biological, and Multi-Scale Communications
Volume1
Issue number2
DOIs
Publication statusPublished - 2015 Jun 1
Externally publishedYes

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Keywords

  • Molecular communication networks
  • Stability analysis
  • Turing pattern

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Modelling and Simulation

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