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ParAlleL: A Novel Population-Based Approach to Biological Logic Gates

In vivo logic gates have proven difficult to combine into larger devices. Our cell-based logic system, ParAlleL, decomposes a large circuit into a collection of small subcircuits working in parallel, each subcircuit responding to a different combination of inputs. A final global output is then gener...

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Detalles Bibliográficos
Autores principales: Millacura, Felipe A., Largey, Brendan, French, Christopher E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437039/
https://www.ncbi.nlm.nih.gov/pubmed/30949475
http://dx.doi.org/10.3389/fbioe.2019.00046
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author Millacura, Felipe A.
Largey, Brendan
French, Christopher E.
author_facet Millacura, Felipe A.
Largey, Brendan
French, Christopher E.
author_sort Millacura, Felipe A.
collection PubMed
description In vivo logic gates have proven difficult to combine into larger devices. Our cell-based logic system, ParAlleL, decomposes a large circuit into a collection of small subcircuits working in parallel, each subcircuit responding to a different combination of inputs. A final global output is then generated by a combination of the responses. Using ParAlleL, for the first time a completely functional 3-bit full adder and full subtractor were generated using Escherichia coli cells, as well as a calculator-style display that shows a numeric result, from 0 to 7, when the proper 3 bit binary inputs are introduced into the system. ParAlleL demonstrates the use of a parallel approach for the design of cell-based logic gates that facilitates the generation and analysis of complex processes, without the need for complex genetic engineering.
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spelling pubmed-64370392019-04-04 ParAlleL: A Novel Population-Based Approach to Biological Logic Gates Millacura, Felipe A. Largey, Brendan French, Christopher E. Front Bioeng Biotechnol Bioengineering and Biotechnology In vivo logic gates have proven difficult to combine into larger devices. Our cell-based logic system, ParAlleL, decomposes a large circuit into a collection of small subcircuits working in parallel, each subcircuit responding to a different combination of inputs. A final global output is then generated by a combination of the responses. Using ParAlleL, for the first time a completely functional 3-bit full adder and full subtractor were generated using Escherichia coli cells, as well as a calculator-style display that shows a numeric result, from 0 to 7, when the proper 3 bit binary inputs are introduced into the system. ParAlleL demonstrates the use of a parallel approach for the design of cell-based logic gates that facilitates the generation and analysis of complex processes, without the need for complex genetic engineering. Frontiers Media S.A. 2019-03-21 /pmc/articles/PMC6437039/ /pubmed/30949475 http://dx.doi.org/10.3389/fbioe.2019.00046 Text en Copyright © 2019 Millacura, Largey and French. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Millacura, Felipe A.
Largey, Brendan
French, Christopher E.
ParAlleL: A Novel Population-Based Approach to Biological Logic Gates
title ParAlleL: A Novel Population-Based Approach to Biological Logic Gates
title_full ParAlleL: A Novel Population-Based Approach to Biological Logic Gates
title_fullStr ParAlleL: A Novel Population-Based Approach to Biological Logic Gates
title_full_unstemmed ParAlleL: A Novel Population-Based Approach to Biological Logic Gates
title_short ParAlleL: A Novel Population-Based Approach to Biological Logic Gates
title_sort parallel: a novel population-based approach to biological logic gates
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437039/
https://www.ncbi.nlm.nih.gov/pubmed/30949475
http://dx.doi.org/10.3389/fbioe.2019.00046
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