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Microarray Analysis for Saccharomyces cerevisiae
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A Toolkit for Precise, Multigene Control in Saccharomyces cerevisiae.

Adam Sanford1,2, Szilvia Kiriakov1,3, Ahmad S Khalil1,2,3,4

  • 1Biological Design Center, Boston University, Boston, Massachusetts 02215, United States.

ACS Synthetic Biology
|November 11, 2022
PubMed
Summary

Researchers developed new synthetic gene expression systems in yeast for precise, simultaneous multigene control. These systems use inert hormones for robust induction, enabling complex genetic network construction in biotechnology.

Keywords:
MoClo Toolkitgene expression controlinducible promotersnuclear receptorstranscription factorsyeast

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Area of Science:

  • Synthetic biology
  • Molecular biology
  • Biotechnology

Background:

  • Precise control of gene expression is crucial for biological research and synthetic biology.
  • Existing inducible gene expression systems in *Saccharomyces cerevisiae* (yeast) have limitations in simultaneous multigene control under standard conditions.

Purpose of the Study:

  • To develop a novel set of orthogonal synthetic gene expression systems for yeast.
  • To enable independent and simultaneous control of multiple genes using external stimuli.

Main Methods:

  • Repurposed ligand binding domains from mammalian type I nuclear receptors.
  • Engineered up to five orthogonal synthetic gene expression systems in *Saccharomyces cerevisiae*.
  • Utilized inert hormones as inducers for gene expression control.

Main Results:

  • Achieved tight and independent control over multiple genes.
  • Demonstrated robust and rapid gene expression, with up to 600-fold induction.
  • Successfully rerouted metabolic flux in the violacein biosynthetic pathway by controlling four key enzymes.

Conclusions:

  • Established a modular and versatile toolkit for multidimensional gene expression control in yeast.
  • The developed systems are potentially expandable for more complex genetic circuits.
  • Provides a powerful tool for constructing and controlling synthetic and natural gene networks.