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Synthetic analog and digital circuits for cellular computation and memory

Author(s)
Purcell, Oliver; Lu, Timothy K.
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Article is available under a Creative Commons license; see publisher's site for details. http://creativecommons.org/
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Abstract
Biological computation is a major area of focus in synthetic biology because it has the potential to enable a wide range of applications. Synthetic biologists have applied engineering concepts to biological systems in order to construct progressively more complex gene circuits capable of processing information in living cells. Here, we review the current state of computational genetic circuits and describe artificial gene circuits that perform digital and analog computation. We then discuss recent progress in designing gene networks that exhibit memory, and how memory and computation have been integrated to yield more complex systems that can both process and record information. Finally, we suggest new directions for engineering biological circuits capable of computation.
Date issued
2014-05
URI
http://hdl.handle.net/1721.1/90331
Department
Massachusetts Institute of Technology. Department of Biological Engineering; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of Electronics; Massachusetts Institute of Technology. Synthetic Biology Center
Journal
Current Opinion in Biotechnology
Publisher
Elsevier
Citation
Purcell, Oliver, and Timothy K Lu. “Synthetic Analog and Digital Circuits for Cellular Computation and Memory.” Current Opinion in Biotechnology 29 (October 2014): 146–155.
Version: Final published version
ISSN
09581669

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