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Quantitative, Non-Disruptive Monitoring of Transcription in Single Cells with a Broad-Host Range GFP-luxCDABE Dual Reporter System

Overview of attention for article published in PLOS ONE, December 2012
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Title
Quantitative, Non-Disruptive Monitoring of Transcription in Single Cells with a Broad-Host Range GFP-luxCDABE Dual Reporter System
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0052000
Pubmed ID
Authors

Ilaria Maria Benedetti, Victor de Lorenzo, Rafael Silva-Rocha

Abstract

A dual promoter probe system based on a tandem bi-cistronic GFP-luxCDABE reporter cassette is described and implemented. This system is assembled in two synthetic, modular, broad-host range plasmids based on pBBR1 and RK2 origins of replication, allowing its utilization in an extensive number of gram-negative bacteria. We analyze the performance of this dual cassette in two hosts, Escherichia coli and Pseudomonas putida, by examining the induction properties of the lacI(q)-Ptrc expression system in the first host and the Pb promoter of the benzoate degradation pathway in the second host. By quantifying the bioluminescence signal produced through the expression of the lux genes, we explore the dynamic range of induction for the two systems (Ptrc-based and Pb-based) in response to the two inducers. In addition, by quantifying the fluorescence signals produced by GFP expression, we were able to monitor the single-cell expression profile and to explore stochasticity of the same two promoters by flow cytometry. The results provided here demonstrate the power of the dual GFP-luxCDABE cassette as a new, single-step tool to assess promoter properties at both the population and single-cell levels in gram-negative bacteria.

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The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Denmark 2 3%
Unknown 64 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Student > Bachelor 11 16%
Researcher 11 16%
Student > Master 9 13%
Student > Doctoral Student 4 6%
Other 9 13%
Unknown 8 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 46%
Biochemistry, Genetics and Molecular Biology 14 20%
Engineering 3 4%
Immunology and Microbiology 3 4%
Social Sciences 2 3%
Other 4 6%
Unknown 11 16%