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Processing two environmental chemical signals with a synthetic genetic IMPLY gate, a 2-input-2-output integrated logic circuit, and a process pipeline to optimize its systems chemistry in Escherichia coli.
- Source :
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Biotechnology and bioengineering [Biotechnol Bioeng] 2020 May; Vol. 117 (5), pp. 1502-1512. Date of Electronic Publication: 2020 Feb 07. - Publication Year :
- 2020
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Abstract
- Synthetic genetic devices can perform molecular computation in living bacteria, which may sense more than one environmental chemical signal, perform complex signal processing in a human-designed way, and respond in a logical manner. IMPLY is one of the four fundamental logic functions and unlike others, it is an "IF-THEN" constraint-based logic. By adopting physical hierarchy of electronics in the realm of in-cell systems chemistry, a full-spectrum transcriptional cascaded synthetic genetic IMPLY gate, which senses and integrates two environmental chemical signals, is designed, fabricated, and optimized in a single Escherichia coli cell. This IMPLY gate is successfully integrated into a 2-input-2-output integrated logic circuit and showed higher signal-decoding efficiency. Further, we showed simple application of those devices by integrating them with an inherent cellular process, where we controlled the cell morphology and color in a logical manner. To fabricate and optimize the genetic devices, a new process pipeline named NETWORK Brick is developed. This pipeline allows fast parallel kinetic optimization and reduction in the unwanted kinetic influence of one DNA module over another. A mathematical model is developed and it shows that response of the genetic devices are digital-like and are mathematically predictable. This single-cell IMPLY gate provides the fundamental constraint-based logic and completes the in-cell molecular logic processing toolbox. The work has significance in the smart biosensor, artificial in-cell molecular computation, synthetic biology, and microbiorobotics.<br /> (© 2020 Wiley Periodicals, Inc.)
Details
- Language :
- English
- ISSN :
- 1097-0290
- Volume :
- 117
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Biotechnology and bioengineering
- Publication Type :
- Academic Journal
- Accession number :
- 31981217
- Full Text :
- https://doi.org/10.1002/bit.27286