Synthetic mixed-signal computation in living cells

Jacob R. Rubens; Gianluca Selvaggio; Timothy K. Lu

doi:10.1038/ncomms11658

Nature Communications (Jun 2016)

Synthetic mixed-signal computation in living cells

Jacob R. Rubens,
Gianluca Selvaggio,
Timothy K. Lu

Affiliations

Jacob R. Rubens: Department of Electrical Engineering and Computer Science, Synthetic Biology Group, MIT Synthetic Biology Center, Research Laboratory of Electronics, Massachusetts Institute of Technology
Gianluca Selvaggio: Department of Electrical Engineering and Computer Science, Synthetic Biology Group, MIT Synthetic Biology Center, Research Laboratory of Electronics, Massachusetts Institute of Technology
Timothy K. Lu: Department of Electrical Engineering and Computer Science, Synthetic Biology Group, MIT Synthetic Biology Center, Research Laboratory of Electronics, Massachusetts Institute of Technology

DOI: https://doi.org/10.1038/ncomms11658
Journal volume & issue: Vol. 7, no. 1
pp. 1 – 10

Abstract

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Digital and analogue gene circuits each have distinct advantages in natural and engineered cells. Here, Rubens et al. engineer synthetic gene circuits that implement mixed-signal digital and analogue computations in living cells.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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