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Layering genetic circuits to build a single cell, bacterial half adder

Overview of attention for article published in BMC Biology, June 2015
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Title
Layering genetic circuits to build a single cell, bacterial half adder
Published in
BMC Biology, June 2015
DOI 10.1186/s12915-015-0146-0
Pubmed ID
Authors

Adison Wong, Huijuan Wang, Chueh Loo Poh, Richard I. Kitney

Abstract

Gene regulation in biological systems is impacted by the cellular and genetic context-dependent effects of the biological parts which comprise the circuit. Here, we have sought to elucidate the limitations of engineering biology from an architectural point of view, with the aim of compiling a set of engineering solutions for overcoming failure modes during the development of complex, synthetic genetic circuits. Using a synthetic biology approach that is supported by computational modelling and rigorous characterisation, AND, OR and NOT biological logic gates were layered in both parallel and serial arrangements to generate a repertoire of Boolean operations that include NIMPLY, XOR, half adder and half subtractor logics in single cell. Subsequent evaluation of these near-digital biological systems revealed critical design pitfalls that triggered genetic context dependent effects, including 5' UTR interferences and uncontrolled switch-on behaviour of supercoiled σ54 promoter. In particular, the presence of seven consecutive hairpins immediately downstream of promoter transcription start site resulted in severe impediment of gene expression. As synthetic biology moves forward with greater focus on scaling the complexity of engineered genetic circuits, studies which thoroughly evaluate failure modes and engineering solutions will serve as important references for future design and development of synthetic biological systems. This work describes a representative case study to the debugging of genetic context dependent effects through principles elucidated herein, thereby providing a rational design framework to integrate multiple genetic circuits in a single prokaryotic cell.

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The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
United Kingdom 1 1%
South Africa 1 1%
China 1 1%
Slovenia 1 1%
Unknown 92 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 31%
Researcher 15 15%
Student > Master 13 13%
Student > Bachelor 7 7%
Other 7 7%
Other 12 12%
Unknown 14 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 37%
Agricultural and Biological Sciences 27 27%
Engineering 7 7%
Computer Science 4 4%
Physics and Astronomy 2 2%
Other 6 6%
Unknown 16 16%