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Multi-Input Regulation and Logic with T7 Promoters in Cells and Cell-Free Systems

Overview of attention for article published in PLOS ONE, October 2013
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Title
Multi-Input Regulation and Logic with T7 Promoters in Cells and Cell-Free Systems
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0078442
Pubmed ID
Authors

Sukanya Iyer, David K. Karig, S. Elizabeth Norred, Michael L. Simpson, Mitchel J. Doktycz

Abstract

Engineered gene circuits offer an opportunity to harness biological systems for biotechnological and biomedical applications. However, reliance on native host promoters for the construction of circuit elements, such as logic gates, can make the implementation of predictable, independently functioning circuits difficult. In contrast, T7 promoters offer a simple orthogonal expression system for use in a variety of cellular backgrounds and even in cell-free systems. Here we develop a T7 promoter system that can be regulated by two different transcriptional repressors for the construction of a logic gate that functions in cells and in cell-free systems. We first present LacI repressible T7lacO promoters that are regulated from a distal lac operator site for repression. We next explore the positioning of a tet operator site within the T7lacO framework to create T7 promoters that respond to tet and lac repressors and realize an IMPLIES gate. Finally, we demonstrate that these dual input sensitive promoters function in an E. coli cell-free protein expression system. Our results expand the utility of T7 promoters in cell based as well as cell-free synthetic biology applications.

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The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
China 1 <1%
Unknown 108 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 29%
Researcher 19 17%
Student > Master 18 16%
Student > Bachelor 11 10%
Other 5 5%
Other 13 12%
Unknown 12 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 34%
Biochemistry, Genetics and Molecular Biology 31 28%
Chemistry 7 6%
Engineering 4 4%
Chemical Engineering 3 3%
Other 14 13%
Unknown 14 13%