In-Vivo Real-Time Control of Protein Expression from Endogenous and Synthetic Gene Networks

Filippo Menolascina, Gianfranco Fiore, Emanuele Orabona, Luca De Stefano, Mike Ferry, Jeff Hasty, Mario di Bernardo, Diego di Bernardo*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

97 Citations (Scopus)


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.

Original languageEnglish
Article numbere1003625
JournalPLoS Computational Biology
Issue number5
Publication statusPublished - 15 May 2014

Structured keywords

  • Bristol BioDesign Institute
  • Engineering Mathematics Research Group


  • synthetic biology


Dive into the research topics of 'In-Vivo Real-Time Control of Protein Expression from Endogenous and Synthetic Gene Networks'. Together they form a unique fingerprint.

Cite this