Ribocomputing devices for sophisticated in vivo logic computation

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 rema...

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Main Authors: Green, Alexander A., Kim, Jongmin, Ma, Duo, Silver, Pamela A., Yin, Peng, Collins, James J.
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Format: Article
Language:en_US
Published: Association for Computing Machinery (ACM) 2017
Online Access:http://hdl.handle.net/1721.1/109202
https://orcid.org/0000-0002-5560-8246
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author Green, Alexander A.
Kim, Jongmin
Ma, Duo
Silver, Pamela A.
Yin, Peng
Collins, James J.
author2 Massachusetts Institute of Technology. Institute for Medical Engineering & Science
author_facet Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Green, Alexander A.
Kim, Jongmin
Ma, Duo
Silver, Pamela A.
Yin, Peng
Collins, James J.
author_sort Green, Alexander A.
collection MIT
description 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.
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spelling mit-1721.1/1092022024-03-20T19:40:44Z Ribocomputing devices for sophisticated in vivo logic computation Green, Alexander A. Kim, Jongmin Ma, Duo Silver, Pamela A. Yin, Peng Collins, James J. Massachusetts Institute of Technology. Institute for Medical Engineering & Science Collins, James Collins, James J. 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. 2017-05-19T13:47:04Z 2017-05-19T13:47:04Z 2016-09 2016-09 Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-4061-8 http://hdl.handle.net/1721.1/109202 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 https://orcid.org/0000-0002-5560-8246 en_US http://dx.doi.org/10.1145/2967446.2970373 NANOCOM '16, Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) Prof. Collins via Howard Silver
spellingShingle Green, Alexander A.
Kim, Jongmin
Ma, Duo
Silver, Pamela A.
Yin, Peng
Collins, James J.
Ribocomputing devices for sophisticated in vivo logic computation
title Ribocomputing devices for sophisticated in vivo logic computation
title_full Ribocomputing devices for sophisticated in vivo logic computation
title_fullStr Ribocomputing devices for sophisticated in vivo logic computation
title_full_unstemmed Ribocomputing devices for sophisticated in vivo logic computation
title_short Ribocomputing devices for sophisticated in vivo logic computation
title_sort ribocomputing devices for sophisticated in vivo logic computation
url http://hdl.handle.net/1721.1/109202
https://orcid.org/0000-0002-5560-8246
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