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In-Vivo Real-Time Control of Protein Expression from Endogenous and Synthetic Gene Networks
We describe an innovative experimental and computational approach to control the expression of a protein in a population of yeast cells. We designed a simple control algorithm to automatically regulate the administration of inducer molecules to the cells by comparing the actual protein expression le...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022480/ https://www.ncbi.nlm.nih.gov/pubmed/24831205 http://dx.doi.org/10.1371/journal.pcbi.1003625 |
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author | Menolascina, Filippo Fiore, Gianfranco Orabona, Emanuele De Stefano, Luca Ferry, Mike Hasty, Jeff di Bernardo, Mario di Bernardo, Diego |
author_facet | Menolascina, Filippo Fiore, Gianfranco Orabona, Emanuele De Stefano, Luca Ferry, Mike Hasty, Jeff di Bernardo, Mario di Bernardo, Diego |
author_sort | Menolascina, Filippo |
collection | PubMed |
description | We describe an innovative experimental and computational approach to control the expression of a protein in a population of yeast cells. We designed a simple control algorithm to automatically regulate the administration of inducer molecules to the cells by comparing the actual protein expression level in the cell population with the desired expression level. We then built an automated platform based on a microfluidic device, a time-lapse microscopy apparatus, and a set of motorized syringes, all controlled by a computer. We tested the platform to force yeast cells to express a desired fixed, or time-varying, amount of a reporter protein over thousands of minutes. The computer automatically switched the type of sugar administered to the cells, its concentration and its duration, according to the control algorithm. Our approach can be used to control expression of any protein, fused to a fluorescent reporter, provided that an external molecule known to (indirectly) affect its promoter activity is available. |
format | Online Article Text |
id | pubmed-4022480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40224802014-05-21 In-Vivo Real-Time Control of Protein Expression from Endogenous and Synthetic Gene Networks Menolascina, Filippo Fiore, Gianfranco Orabona, Emanuele De Stefano, Luca Ferry, Mike Hasty, Jeff di Bernardo, Mario di Bernardo, Diego PLoS Comput Biol Research Article We describe an innovative experimental and computational approach to control the expression of a protein in a population of yeast cells. We designed a simple control algorithm to automatically regulate the administration of inducer molecules to the cells by comparing the actual protein expression level in the cell population with the desired expression level. We then built an automated platform based on a microfluidic device, a time-lapse microscopy apparatus, and a set of motorized syringes, all controlled by a computer. We tested the platform to force yeast cells to express a desired fixed, or time-varying, amount of a reporter protein over thousands of minutes. The computer automatically switched the type of sugar administered to the cells, its concentration and its duration, according to the control algorithm. Our approach can be used to control expression of any protein, fused to a fluorescent reporter, provided that an external molecule known to (indirectly) affect its promoter activity is available. Public Library of Science 2014-05-15 /pmc/articles/PMC4022480/ /pubmed/24831205 http://dx.doi.org/10.1371/journal.pcbi.1003625 Text en © 2014 Menolascina et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Menolascina, Filippo Fiore, Gianfranco Orabona, Emanuele De Stefano, Luca Ferry, Mike Hasty, Jeff di Bernardo, Mario di Bernardo, Diego In-Vivo Real-Time Control of Protein Expression from Endogenous and Synthetic Gene Networks |
title |
In-Vivo Real-Time Control of Protein Expression from Endogenous and Synthetic Gene Networks |
title_full |
In-Vivo Real-Time Control of Protein Expression from Endogenous and Synthetic Gene Networks |
title_fullStr |
In-Vivo Real-Time Control of Protein Expression from Endogenous and Synthetic Gene Networks |
title_full_unstemmed |
In-Vivo Real-Time Control of Protein Expression from Endogenous and Synthetic Gene Networks |
title_short |
In-Vivo Real-Time Control of Protein Expression from Endogenous and Synthetic Gene Networks |
title_sort | in-vivo real-time control of protein expression from endogenous and synthetic gene networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022480/ https://www.ncbi.nlm.nih.gov/pubmed/24831205 http://dx.doi.org/10.1371/journal.pcbi.1003625 |
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