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In-vivo real-time control of protein expression from endogenous and synthetic gene networks.

Authors :
Filippo Menolascina
Gianfranco Fiore
Emanuele Orabona
Luca De Stefano
Mike Ferry
Jeff Hasty
Mario di Bernardo
Diego di Bernardo
Source :
PLoS Computational Biology, Vol 10, Iss 5, p e1003625 (2014)
Publication Year :
2014
Publisher :
Public Library of Science (PLoS), 2014.

Abstract

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.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
1553734X and 15537358
Volume :
10
Issue :
5
Database :
Directory of Open Access Journals
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.f0782acf6d92454a822d2c97710010f3
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pcbi.1003625