title: Automatic Control of Gene Expression in Mammalian Cells.
abstract: Automatic control of gene expression in living cells is paramount importance to characterize both endogenous gene regulatory networks and synthetic circuits. In addition, such a technology can be used to maintain the expression of synthetic circuit components in an optimal range in order to ensure reliable performance. Here we present a microfluidics-based method to automatically control gene expression from the tetracycline-inducible promoter in mammalian cells in real time. Our approach is based on the negative-feedback control engineering paradigm. We validated our method in a monoclonal population of cells constitutively expressing a fluorescent reporter protein (d2EYFP) downstream of a minimal CMV promoter with seven tet-responsive operator motifs (CMV-TET). These cells also constitutively express the tetracycline transactivator protein (tTA). In cells grown in standard growth medium, tTA is able to bind the CMV-TET promoter, causing d2EYFP to be maximally expressed. Upon addition of tetracycline to the culture medium, tTA detaches from the CMV-TET promoter, thus preventing d2EYFP expression. We tested two different model-independent control algorithms (relay and proportional-integral (PI)) to force a monoclonal population of cells to express an intermediate level of d2EYFP equal to 50% of its maximum expression level for up to 3500 min. The control input is either tetracycline-rich or standard growth medium. We demonstrated that both the relay and PI controllers can regulate gene expression at the desired level, despite oscillations (dampened in the case of the PI controller) around the chosen set point.
authors.affiliation: TeleThon Institute of Genetics and Medicine (TIGEM) , 80078 Pozzuoli, Italy.
authors.forename: Chiara
authors.initials: C
authors.lastname: Fracassi
authors.affiliation: TeleThon Institute of Genetics and Medicine (TIGEM) , 80078 Pozzuoli, Italy.|Department of Electrical Engineering and Information Technology, University of Naples Federico II , 80125 Naples, Italy.
authors.forename: Lorena
authors.initials: L
authors.lastname: Postiglione
authors.affiliation: TeleThon Institute of Genetics and Medicine (TIGEM) , 80078 Pozzuoli, Italy.
authors.forename: Gianfranco
authors.initials: G
authors.lastname: Fiore
authors.affiliation: TeleThon Institute of Genetics and Medicine (TIGEM) , 80078 Pozzuoli, Italy.|Department of Electrical Engineering and Information Technology, University of Naples Federico II , 80125 Naples, Italy.
authors.forename: Diego
authors.initials: D
authors.lastname: di Bernardo
mesh_terms: D000465:Algorithms; D000818:Animals; D001426:Bacterial Proteins / Q000235:genetics / Q000378:metabolism; D016466:CHO Cells; D006224:Cricetinae; D003412:Cricetulus; D003587:Cytomegalovirus / Q000235:genetics; D015870:Gene Expression; D017930:Genes, Reporter; D008164:Luminescent Proteins / Q000235:genetics / Q000378:metabolism; D008856:Microscopy, Fluorescence; D011401:Promoter Regions, Genetic; D059008:Time-Lapse Imaging; D015534:Trans-Activators / Q000235:genetics* / Q000378:metabolism
chemical_list: D001426:Bacterial Proteins; D008164:Luminescent Proteins; D015534:Trans-Activators; C054562:yellow fluorescent protein, Bacteria
keywords: control engineering; gene expression; mammalian cell; microfluidics; synthetic biology