Coordinated Spatial Pattern Formation in Biomolecular Communication Networks
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, bio-nanomachines, 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.
Additional Information
© 2015 IEEE. Y. Hori was supported by JSPS Fellowship for Research Abroad. This work was supported, in part, by Grant-in-Aid for Scientific Research (A) of the Ministry of Education, Culture, Sports, Science, and Technology, Japan, No. 21246067, and Grant-in-Aid for JSPS Fellows under grant number 15J09841.Attached Files
Submitted - 1504.06045v3.pdf
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Additional details
- Eprint ID
- 62376
- DOI
- 10.1109/TMBMC.2015.2500567
- Resolver ID
- CaltechAUTHORS:20151124-113609021
- 15J09841
- Japan Society for the Promotion of Science (JSPS)
- 21246067
- Ministry of Education, Culture, Sports, Science and Technology (MEXT)
- Created
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2015-11-24Created from EPrint's datestamp field
- Updated
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2021-11-10Created from EPrint's last_modified field