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Marchisio MA. In silico design and in vivo implementation of yeast gene Boolean gates. J Biol Eng. 2014;8(1):6doi: 10.1186/1754-1611-8-6.
Marchisio, M. A. (2014). In silico design and in vivo implementation of yeast gene Boolean gates. Journal of biological engineering, 8(1), 6. https://doi.org/10.1186/1754-1611-8-6
Marchisio, Mario A. "In silico design and in vivo implementation of yeast gene Boolean gates." Journal of biological engineering vol. 8,1 (2014): 6. doi: https://doi.org/10.1186/1754-1611-8-6
Marchisio MA. In silico design and in vivo implementation of yeast gene Boolean gates. J Biol Eng. 2014 Feb 02;8(1):6. doi: 10.1186/1754-1611-8-6. PMID: 24485181; PMCID: PMC3926364.
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J Biol Eng. 2014 Feb 02;8(1):6. doi: 10.1186/1754-1611-8-6.

In silico design and in vivo implementation of yeast gene Boolean gates.

Journal of biological engineering

Mario A Marchisio

Affiliations

  1. Department of Biosystems Science and Engineering (D-BSSE), ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland. [email protected].

PMID: 24485181 PMCID: PMC3926364 DOI: 10.1186/1754-1611-8-6

Abstract

In our previous computational work, we showed that gene digital circuits can be automatically designed in an electronic fashion. This demands, first, a conversion of the truth table into Boolean formulas with the Karnaugh map method and, then, the translation of the Boolean formulas into circuit schemes organized into layers of Boolean gates and Pools of signal carriers. In our framework, gene digital circuits that take up to three different input signals (chemicals) arise from the composition of three kinds of basic Boolean gates, namely YES, NOT, and AND. Here we present a library of YES, NOT, and AND gates realized via plasmidic DNA integration into the yeast genome. Boolean behavior is reproduced via the transcriptional control of a synthetic bipartite promoter that contains sequences of the yeast VPH1 and minimal CYC1 promoters together with operator binding sites for bacterial (i.e. orthogonal) repressor proteins. Moreover, model-driven considerations permitted us to pinpoint a strategy for re-designing gates when a better digital performance is required. Our library of well-characterized Boolean gates is the basis for the assembly of more complex gene digital circuits. As a proof of concepts, we engineered two 2-input OR gates, designed by our software, by combining YES and NOT gates present in our library.

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