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Engineering Genetically Encoded Nanosensors for Real-Time In Vivo Measurements of Citrate Concentrations

Overview of attention for article published in PLOS ONE, December 2011
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
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2 X users

Citations

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57 Dimensions

Readers on

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126 Mendeley
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Title
Engineering Genetically Encoded Nanosensors for Real-Time In Vivo Measurements of Citrate Concentrations
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0028245
Pubmed ID
Authors

Jennifer C. Ewald, Sabrina Reich, Stephan Baumann, Wolf B. Frommer, Nicola Zamboni

Abstract

Citrate is an intermediate in catabolic as well as biosynthetic pathways and is an important regulatory molecule in the control of glycolysis and lipid metabolism. Mass spectrometric and NMR based metabolomics allow measuring citrate concentrations, but only with limited spatial and temporal resolution. Methods are so far lacking to monitor citrate levels in real-time in-vivo. Here, we present a series of genetically encoded citrate sensors based on Förster resonance energy transfer (FRET). We screened databases for citrate-binding proteins and tested three candidates in vitro. The citrate binding domain of the Klebsiella pneumoniae histidine sensor kinase CitA, inserted between the FRET pair Venus/CFP, yielded a sensor highly specific for citrate. We optimized the peptide linkers to achieve maximal FRET change upon citrate binding. By modifying residues in the citrate binding pocket, we were able to construct seven sensors with different affinities spanning a concentration range of three orders of magnitude without losing specificity. In a first in vivo application we show that E. coli maintains the capacity to take up glucose or acetate within seconds even after long-term starvation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Switzerland 1 <1%
France 1 <1%
Brazil 1 <1%
Sweden 1 <1%
India 1 <1%
United Kingdom 1 <1%
Belgium 1 <1%
Denmark 1 <1%
Other 1 <1%
Unknown 115 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 25%
Researcher 26 21%
Student > Master 9 7%
Student > Doctoral Student 9 7%
Student > Bachelor 9 7%
Other 18 14%
Unknown 24 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 38%
Biochemistry, Genetics and Molecular Biology 25 20%
Chemistry 8 6%
Engineering 4 3%
Business, Management and Accounting 2 2%
Other 8 6%
Unknown 31 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 14 August 2012.
All research outputs
#3,760,837
of 22,673,450 outputs
Outputs from PLOS ONE
#46,308
of 193,525 outputs
Outputs of similar age
#31,342
of 239,933 outputs
Outputs of similar age from PLOS ONE
#512
of 2,750 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 71% 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 239,933 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 86% of its contemporaries.
We're also able to compare this research output to 2,750 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.