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Bacterial Autoinducer‑2 Detection via an Engineered Quorum Sensing Protein

Overview of attention for article published in Analytical Chemistry, February 2015
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Article details
Title
Bacterial Autoinducer‑2 Detection via an Engineered Quorum Sensing Protein
Published in
Analytical Chemistry, February 2015
DOI 10.1021/ac504172f
Pubmed ID
Authors
Abstract

Autoinducer-2 (AI-2) is a Quorum Sensing (QS) molecule utilized by bacteria in interspecies communication. More recently, it is identified to be vital in regulating QS pathways in a number of human and foodborne pathogens. Methods to detect AI-2 in a rapid and highly sensitive manner can help in the early detection of bacterial infections. Herein, we describe a rapid, selective, and highly sensitive protein based biosensing system employing the Fluorescence Resonance Energy Transfer (FRET) between a protein fusion LuxP-EGFP and 7-diethylamino-3-[N-(2-maleimidoethyl)carbamoyl]coumarin (MDCC). The developed biosensing system, which can detect AI-2 at subnanomolar levels, was successfully applied to detect AI-2 in clinical samples such as saliva and blood serum.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Denmark 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 23%
Student > Bachelor 6 17%
Researcher 5 14%
Student > Master 3 9%
Professor > Associate Professor 2 6%
Other 1 3%
Unknown 10 29%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 7 20%
Biochemistry, Genetics and Molecular Biology 6 17%
Chemistry 5 14%
Medicine and Dentistry 2 6%
Engineering 2 6%
Other 1 3%
Unknown 12 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 February 2015.
All research outputs
#20,263,155
of 22,793,427 outputs
Outputs from Analytical Chemistry
#24,295
of 26,445 outputs
Outputs of similar age
#214,987
of 255,130 outputs
Outputs of similar age from Analytical Chemistry
#284
of 345 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,445 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 255,130 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 345 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.