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Design Principles for Compartmentalization and Spatial Organization of Synthetic Genetic Circuits.

Govind Menon1, J Krishnan1,2

  • 1Department of Chemical Engineering, Centre for Process Systems Engineering , Imperial College London , London SW72AZ , United Kingdom.

ACS Synthetic Biology
|July 2, 2019
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Summary

Compartmentalization in synthetic biology offers new capabilities by organizing genetic circuits within spatial compartments. This study reveals design principles, trade-offs, and novel features of these engineered biological systems.

Keywords:
adaptationcell-free systemscommunicationcompartmentalizationspatial designsystems analysis

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Area of Science:

  • Synthetic Biology
  • Systems Biology
  • Cellular Engineering

Background:

  • Cellular compartmentalization is crucial for biological function and evolution.
  • Engineering genetic circuits within compartments is a growing area in synthetic biology.
  • Design principles for compartmentalized genetic circuits remain poorly understood.

Purpose of the Study:

  • To develop a systems framework for understanding compartmentalization of genetic circuits.
  • To elucidate the interplay between circuit design, spatial organization, and operational states.
  • To reveal unexpected features and design principles of compartmentalized synthetic circuits.

Main Methods:

  • Development of a systems framework.
  • Analysis of genetic circuit properties within spatial compartments.
  • Examination of well-mixed versus non-well-mixed operational states.
  • Investigation of distributed circuit consequences and constraints.

Main Results:

  • Identification of unexpected features in compartmentalized synthetic and template-based circuits.
  • Characterization of trade-offs associated with distributing circuits and methods to circumvent them.
  • Discovery of hidden constraints in realizing distributed genetic circuits.
  • Revelation of novel features of compartmentalized systems.

Conclusions:

  • The developed framework provides fundamental insights into compartmentalizing genetic circuits.
  • The findings offer a broad range of applications in synthetic biology and beyond.
  • Understanding design principles is key to unlocking the full potential of engineered cellular systems.