A tunable dual-input system for on-demand dynamic gene expression regulation

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• dc.contributor.author Pedone, Elisa, 1985-
• dc.contributor.author Postiglione, Lorena
• dc.contributor.author Aulicino, Francesco, 1987-
• dc.contributor.author Rocca, Dan L.
• dc.contributor.author Montes Olivas, Sandra
• dc.contributor.author Khazim, Mahmoud
• dc.contributor.author di Bernardo, Diego
• dc.contributor.author Cosma, Maria Pia
• dc.contributor.author Marucci, Lucia
• dc.date.accessioned 2020-04-01T08:42:48Z
• dc.date.available 2020-04-01T08:42:48Z
• dc.date.issued 2019
• dc.description.abstract Cellular systems have evolved numerous mechanisms to adapt to environmental stimuli, underpinned by dynamic patterns of gene expression. In addition to gene transcription regulation, modulation of protein levels, dynamics and localization are essential checkpoints governing cell functions. The introduction of inducible promoters has allowed gene expression control using orthogonal molecules, facilitating its rapid and reversible manipulation to study gene function. However, differing protein stabilities hinder the generation of protein temporal profiles seen in vivo. Here, we improve the Tet-On system integrating conditional destabilising elements at the post-translational level and permitting simultaneous control of gene expression and protein stability. We show, in mammalian cells, that adding protein stability control allows faster response times, fully tunable and enhanced dynamic range, and improved in silico feedback control of gene expression. Finally, we highlight the effectiveness of our dual-input system to modulate levels of signalling pathway components in mouse Embryonic Stem Cells.
• dc.format.mimetype application/pdf
• dc.identifier.citation Pedone E, Postiglione L, Aulicino F, Rocca DL, Montes-Olivas S, Khazim M, di Bernardo D, Pia Cosma M, Marucci L. A tunable dual-input system for on-demand dynamic gene expression regulation. Nat Commun. 2019; 10(1):4481. DOI: 10.1038/s41467-019-12329-9
• dc.identifier.doi http://dx.doi.org/10.1038/s41467-019-12329-9
• dc.identifier.issn 2041-1723
• dc.identifier.uri http://hdl.handle.net/10230/44133
• dc.language.iso eng
• dc.publisher Nature Research
• dc.relation.ispartof Nat Commun. 2019; 10(1):4481
• dc.rights © Crown 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Computational models
• dc.subject.keyword Lab-on-a-chip
• dc.subject.keyword Synthetic biology
• dc.title A tunable dual-input system for on-demand dynamic gene expression regulation
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion