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Ribocomputing devices for sophisticated in vivo logic computation

Author(s)
Green, Alexander A.; Kim, Jongmin; Ma, Duo; Silver, Pamela A.; Yin, Peng; Collins, James J.; ... Show more Show less
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Abstract
Synthetic biology aims to create functional devices, systems, and organisms with novel and useful functions taking advantage of engineering principles applied to biology. Despite great progress over the last decade, an underlying problem in synthetic biology remains the limited number of high-performance, modular, composable parts. A potential route to solve parts bottleneck problem in synthetic biology utilizes the programmability of nucleic acids inspired by molecular programming approaches that have demonstrated complex biomolecular circuits evaluating logic expressions in test tubes.Using a library of de-novo-designed toehold switches with orthogonality and modular composability, we demonstrate how toehold switches can be incorporated into decision-making RNA networks termed ribocomputing devices to rapidly evaluate complex logic in living cells. We have successfully demonstrated a 4-input AND gate, a 6-input OR gate, and a 12-input expression in disjunctive normal form in E. coli. The compact encoding of ribocomputing system using a library of modular parts is amenable to aggressive scale-up towards complex control of in vivo circuitry towards autonomous behaviors and biomedical applications.
Date issued
2016-09
URI
http://hdl.handle.net/1721.1/109202
Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Journal
NANOCOM '16, Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication
Publisher
Association for Computing Machinery (ACM)
Citation
Green, Alexander A.; Kim, Jongmin; Ma, Duo; Silver, Pamela A.; Collins, James J. and Yin, Peng. “Ribocomputing Devices for Sophisticated in Vivo Logic Computation.” NANOCOM’16, Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, September 28-30 2016, New York, New York, Association for Computing Machinery (ACM), September 2016
Version: Author's final manuscript
ISSN
978-1-4503-4061-8

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