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The Bacterial Nanorecorder: Engineering E. coli to Function as a Chemical Recording Device

Overview of attention for article published in PLOS ONE, November 2011
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Title
The Bacterial Nanorecorder: Engineering E. coli to Function as a Chemical Recording Device
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027559
Pubmed ID
Authors

Prasanna Bhomkar, Wayne Materi, David S. Wishart

Abstract

Synthetic biology is an emerging branch of molecular biology that uses synthetic genetic constructs to create man-made cells or organisms that are capable of performing novel and/or useful applications. Using a synthetic chemically sensitive genetic toggle switch to activate appropriate fluorescent protein indicators (GFP, RFP) and a cell division inhibitor (minC), we have created a novel E. coli strain that can be used as a highly specific, yet simple and inexpensive chemical recording device. This biological "nanorecorder" can be used to determine both the type and the time at which a brief chemical exposure event has occurred. In particular, we show that the short-term exposure (15-30 min) of cells harboring this synthetic genetic circuit to small molecule signals (anhydrotetracycline or IPTG) triggered long-term and uniform cell elongation, with cell length being directly proportional to the time elapsed following a brief chemical exposure. This work demonstrates that facile modification of an existing genetic toggle switch can be exploited to generate a robust, biologically-based "nanorecorder" that could potentially be adapted to detect, respond and record a wide range of chemical stimuli that may vary over time and space.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 2 3%
Spain 2 3%
Austria 1 1%
Norway 1 1%
Belgium 1 1%
Malaysia 1 1%
Argentina 1 1%
China 1 1%
Other 0 0%
Unknown 63 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 32%
Researcher 19 25%
Student > Master 13 17%
Student > Bachelor 7 9%
Student > Doctoral Student 3 4%
Other 7 9%
Unknown 2 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 47%
Biochemistry, Genetics and Molecular Biology 10 13%
Engineering 9 12%
Computer Science 4 5%
Social Sciences 3 4%
Other 10 13%
Unknown 4 5%