Research Article
Multiplexing and demultiplexing logic functions for computing signal processing tasks in synthetic biology
Article first published online: 17 JUN 2011
DOI: 10.1002/biot.201100080
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Issue

Biotechnology Journal
Special Issue: Synthetic Biology
Volume 6, Issue 7, pages 784–795, July 2011
Additional Information
How to Cite
Pasotti, L., Quattrocelli, M., Galli, D., De Angelis, M. G. C. and Magni, P. (2011), Multiplexing and demultiplexing logic functions for computing signal processing tasks in synthetic biology. Biotechnology Journal, 6: 784–795. doi: 10.1002/biot.201100080
Publication History
- Issue published online: 4 JUL 2011
- Article first published online: 17 JUN 2011
- Accepted manuscript online: 30 MAY 2011 06:55AM EST
- Manuscript Accepted: 27 MAY 2011
- Manuscript Revised: 2 MAY 2011
- Manuscript Received: 16 FEB 2011
Funded by
- Ministero dell'Università e della Ricerca: FIRB ITALBIONET. Grant Number: FIRB RBIP06FH7J
Keywords:
- BioBricks;
- In vivo signal processing;
- Mathematical modeling of gene networks;
- Multiplexing;
- Quorum sensing
Abstract
Building biological devices to perform computational and signal processing tasks is one of the main research issues in synthetic biology. Herein, two modular biological systems that could mimic multiplexing and demultiplexing logic functions are proposed and discussed. These devices, called multiplexer (mux) and demultiplexer (demux), respectively, have a remarkable importance in electronic, telecommunication, and signal processing systems and, similarly, they could play a crucial role if implemented in a living organism, such as Escherichia coli. BioBrick standard parts were used to design mux and demux and to construct two genetic circuits that could carry out the desired tasks. A modular approach, mimicking basic logic gates (AND, OR, and NOT) with protein/autoinducer or protein/DNA interactions and interconnecting them to create the final circuits, was adopted. A mathematical model of the designed gene networks was been defined and simulations performed to validate the expected behavior of the systems. In addition, circuit subparts were tested in vivo and the results used to determine some of the parameters of the mathematical model. According to both the experimental and simulated results, guidelines for future finalization of mux and demux are provided.

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