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A Toolkit for Precise, Multigene Control in Saccharomyces cerevisiae.
Sanford, Adam; Kiriakov, Szilvia; Khalil, Ahmad S.
Affiliation
  • Sanford A; Biological Design Center, Boston University, Boston, Massachusetts 02215, United States.
  • Kiriakov S; Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, United States.
  • Khalil AS; Biological Design Center, Boston University, Boston, Massachusetts 02215, United States.
ACS Synth Biol ; 11(12): 3912-3920, 2022 12 16.
Article in En | MEDLINE | ID: mdl-36367334
ABSTRACT
Systems that allow researchers to precisely control the expression of genes are fundamental to biological research, biotechnology, and synthetic biology. However, few inducible gene expression systems exist that can enable simultaneous multigene control under common nutritionally favorable conditions in the important model organism and chassis Saccharomyces cerevisiae. Here we repurposed ligand binding domains from mammalian type I nuclear receptors to establish a family of up to five orthogonal synthetic gene expression systems in yeast. Our systems enable tight, independent, multigene control through addition of inert hormones and are capable of driving robust and rapid gene expression outputs, in some cases achieving up to 600-fold induction. As a proof of principle, we placed expression of four enzymes from the violacein biosynthetic pathway under independent expression control to selectively route pathway flux by addition of specific inducer combinations. Our results establish a modular, versatile, and potentially expandable toolkit for multidimensional control of gene expression in yeast that can be used to construct and control naturally occurring and synthetic gene networks.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Saccharomyces cerevisiae / Synthetic Biology Type of study: Prognostic_studies Limits: Animals Language: En Journal: ACS Synth Biol Year: 2022 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Saccharomyces cerevisiae / Synthetic Biology Type of study: Prognostic_studies Limits: Animals Language: En Journal: ACS Synth Biol Year: 2022 Document type: Article Affiliation country: Estados Unidos