Programming Eukaryotic Transcription Functions

A Synthetic Biology Framework for Programming Eukaryotic Transcription Functions(

http://www.kurzweilai.net/expanding-synthetic-biologys-toolkit-for-creating-genetic-circuits

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• Graphical Abstract

Cell, Volume 150, Issue 3, 647-658, 3 August 2012

Copyright © 2012 Elsevier Inc. All rights reserved.
10.1016/j.cell.2012.05.045

Authors

Ahmad S. Khalil,Timothy K. Lu,Caleb J. Bashor,Cherie L. Ramirez,Nora C. Pyenson,J. Keith Joung,James J. CollinsSee Affiliations

• Highlights
• Zinc fingers can be used to wire orthogonal connections in yeast synthetic circuits
• Zinc finger TF design permits adjustable component properties for modulating outputs
• Protein-protein interactions can be used to engineer cooperativity in zinc finger TFs
• TF component properties can be combinatorially adjusted to reshape signal integration

Summary

Eukaryotic transcription factors (TFs) perform complex and combinatorial functions within transcriptional networks. Here, we present a synthetic framework for systematically constructing eukaryotic transcription functions using artificial zinc fingers, modular DNA-binding domains found within many eukaryotic TFs. Utilizing this platform, we construct a library of orthogonal synthetic transcription factors (sTFs) and use these to wire synthetic transcriptional circuits in yeast. We engineer complex functions, such as tunable output strength and transcriptional cooperativity, by rationally adjusting a decomposed set of key component properties, e.g., DNA specificity, affinity, promoter design, protein-protein interactions. We show that subtle perturbations to these properties can transform an individual sTF between distinct roles (activator, cooperative factor, inhibitory factor) within a transcriptional complex, thus drastically altering the signal processing behavior of multi-input systems. This platform provides new genetic components for synthetic biology and enables bottom-up approaches to understanding the design principles of eukaryotic transcriptional complexes and networks.