1. 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
- Author
-
Sangram Bagh, Sayak Mukhopadhyay, Arijit Pal, Rajkamal Srivastava, and Kathakali Sarkar
- Subjects
Signal processing ,Pipeline (computing) ,IMPLY gate ,Process (computing) ,Bioengineering ,Biosensing Techniques ,Cell morphology ,Applied Microbiology and Biotechnology ,Computers, Molecular ,Synthetic biology ,Logic gate ,Escherichia coli ,Genes, Synthetic ,Electronic engineering ,Gene Regulatory Networks ,Synthetic Biology ,Electronics ,Biotechnology - 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.
- Published
- 2020