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Updated: Sep 29, 2025
10:32
Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
Published on: April 15, 2015
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Modular, robust, and extendible multicellular circuit design in yeast.
Alberto Carignano1, Dai Hua Chen1, Cannon Mallory1
1Department of Electrical and Computer Engineering, University of Washington, Seattle, United States.
Elife
|March 21, 2022
Summary
This study demonstrates modularity in multicellular engineered systems. Researchers built and modeled yeast consortia, showing predictable behaviors for synthetic biology applications like distributed computing.
Area of Science:
- Synthetic biology
- Systems biology
- Bioengineering
Background:
- Cellular division of labor is common in nature.
- Engineering applications using multicellular consortia are emerging.
- Modularity is a key potential advantage of multicellular circuits.
Purpose of the Study:
- To experimentally test and quantitatively model the modularity of multicellular engineered systems.
- To explore the potential of yeast consortia for complex computational functions.
- To validate predictive models of engineered multicellular behaviors.
Main Methods:
- Constructed a library of 24 yeast strains for signal sending, receiving, and responding.
- Experimentally characterized strain input-output relationships and built quantitative models.
- Composed strains into various consortia (2-4 strains) and computationally searched for target behaviors.
Main Results:
- Experimental data closely matched predictions from quantitative models.
- Successfully constructed two- and three-strain cascades and a four-strain bistable switch.
- Identified and validated strain combinations for logic gates, filters, and time pulses through computational search and experimental testing.
Conclusions:
- Multicellular engineered systems exhibit predictable modular behavior.
- Quantitative modeling is reliable for predicting consortium dynamics.
- This work supports the feasibility of distributed computing in synthetic biology.
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