A Synthetic Biology Framework for Programming Eukaryotic Transcription Functions

被引:260
作者
Khalil, Ahmad S. [2 ,3 ]
Lu, Timothy K. [1 ]
Bashor, Caleb J. [2 ,3 ]
Ramirez, Cherie L. [4 ,5 ,6 ]
Pyenson, Nora C. [2 ,3 ]
Joung, J. Keith [4 ,5 ,7 ]
Collins, James J. [2 ,3 ,8 ]
机构
[1] MIT, Dept Elect Engn & Comp Sci, Synthet Biol Grp, Cambridge, MA 02139 USA
[2] Boston Univ, Dept Biomed Engn, Howard Hughes Med Inst, Boston, MA 02215 USA
[3] Boston Univ, Ctr BioDynam, Boston, MA 02215 USA
[4] Massachusetts Gen Hosp, Mol Pathol Unit, Ctr Canc Res, Charlestown, MA 02129 USA
[5] Massachusetts Gen Hosp, Ctr Computat & Integrat Biol, Charlestown, MA 02129 USA
[6] Harvard Univ, Sch Med, Div Med Sci, Biol & Biomed Sci Program, Boston, MA 02115 USA
[7] Harvard Univ, Sch Med, Dept Pathol, Boston, MA 02115 USA
[8] Harvard Univ, Wyss Inst Biol Inspired Engn, Boston, MA 02115 USA
基金
美国国家科学基金会;
关键词
ZINC-FINGER NUCLEASES; STRUCTURE-BASED DESIGN; GENE NETWORKS; SYNERGISTIC ACTIVATION; PROTEIN; CELLS; COMPLEX; GAL4; CONSTRUCTION; DIMERIZATION;
D O I
10.1016/j.cell.2012.05.045
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:647 / 658
页数:12
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