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Engineering the metal sensitive sites in Macrolampis sp2 firefly luciferase and use as a novel bioluminescent ratiometric biosensor for heavy metals

Overview of attention for article published in Analytical & Bioanalytical Chemistry, November 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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1 news outlet
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1 X user
facebook
1 Facebook page

Citations

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8 Dimensions

Readers on

mendeley
17 Mendeley
Title
Engineering the metal sensitive sites in Macrolampis sp2 firefly luciferase and use as a novel bioluminescent ratiometric biosensor for heavy metals
Published in
Analytical & Bioanalytical Chemistry, November 2016
DOI 10.1007/s00216-016-0011-1
Pubmed ID
Authors

Gabriele V. M. Gabriel, Vadim R. Viviani

Abstract

Most luminescent biosensors for heavy metals are fluorescent and rely on intensity measurements, whereas a few are ratiometric and rely on spectral changes. Bioluminescent biosensors for heavy metals are less common. Firefly luciferases have been coupled to responsive promoters for mercury and arsenium, and used as light on biosensors. Firefly luciferase bioluminescence spectrum is naturally sensitive to heavy metal cations such as zinc and mercury and to pH. Although pH sensitivity of firefly luciferases was shown to be useful for ratiometric estimation of intracellular pH, its potential use for ratiometric estimation of heavy metals was never considered. Using the yellow-emitting Macrolampis sp2 firefly luciferase and site-directed mutagenesis, we show that the residues H310 and E354 constitute two critical sites for metal sensitivity that can be engineered to increase sensitivity to zinc, nickel, and mercury. A linear relationship between cation concentration and the ratio of bioluminescence intensities at 550 and 610 nm allowed, for the first time, the ratiometric estimation of heavy metals concentrations down to 0.10 mM, demonstrating the potential applicability of firefly luciferases as enzymatic and intracellular ratiometric metal biosensors.

X Demographics

X Demographics

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Student > Doctoral Student 2 12%
Student > Ph. D. Student 2 12%
Student > Master 2 12%
Student > Postgraduate 2 12%
Other 2 12%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 24%
Chemistry 3 18%
Agricultural and Biological Sciences 2 12%
Physics and Astronomy 1 6%
Computer Science 1 6%
Other 2 12%
Unknown 4 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 04 December 2018.
All research outputs
#3,274,992
of 25,374,917 outputs
Outputs from Analytical & Bioanalytical Chemistry
#328
of 9,619 outputs
Outputs of similar age
#52,781
of 317,470 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#8
of 195 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 96% of its peers.
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 317,470 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.