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Designing, construction and characterization of genetically encoded FRET-based nanosensor for real time monitoring of lysine flux in living cells

Overview of attention for article published in Journal of Nanobiotechnology, June 2016
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Title
Designing, construction and characterization of genetically encoded FRET-based nanosensor for real time monitoring of lysine flux in living cells
Published in
Journal of Nanobiotechnology, June 2016
DOI 10.1186/s12951-016-0204-y
Pubmed ID
Authors

Seema Ameen, Mohammad Ahmad, Mohd. Mohsin, M. Irfan Qureshi, Mohamed M. Ibrahim, Malik Z. Abdin, Altaf Ahmad

Abstract

Engineering microorganisms in order to improve the metabolite flux needs a detailed knowledge of the concentrations and flux rates of metabolites and metabolic intermediates in vivo. Fluorescence resonance energy transfer (FRET) based genetically encoded nanosensors represent a promising tool for measuring the metabolite levels and corresponding rate changes in live cells. Here, we report the development of a series of FRET based genetically encoded nanosensor for real time measurement of lysine at cellular level, as the improvement of microbial strains for the production of L-lysine is of major interest in industrial biotechnology. The lysine binding periplasmic protein (LAO) from Salmonella enterica serovar typhimurium LT2 strain was used as the reporter element for the sensor. The LAO was sandwiched between GFP variants i.e. cyan fluorescent protein (CFP) and yellow fluorescent protein (YFP). Affinity, pH stability, specificity and metal ions effects was scrutinized for the in vitro characterization of this nanosensor, named as FLIPK. The FLIPK is specific to lysine and found to be stable with the pH within the physiological range. The calculated affinity (K d ) of FLIPK was 97 µM. For physiological applications, mutants with different binding affinities were also generated and investigated in vitro. The developed nanosensor efficiently monitored the intracellular level of lysine in bacterial as well as yeast cell. The developed novel lysine fluorescence resonance energy transfer sensors can be used for in vivo monitoring of lysine levels in prokaryotes as well as eukaryotes. The potential of these sensors is that they can be used as reporter tools in the development of metabolically engineered microbial strains or for real-time monitoring of intracellular lysine during fermentation.

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Mendeley readers

Mendeley readers

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 %
India 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 23%
Student > Master 10 14%
Researcher 8 12%
Student > Bachelor 6 9%
Professor > Associate Professor 4 6%
Other 10 14%
Unknown 15 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 26%
Agricultural and Biological Sciences 16 23%
Engineering 7 10%
Chemical Engineering 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 5 7%
Unknown 18 26%
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 24 June 2016.
All research outputs
#20,334,427
of 22,879,161 outputs
Outputs from Journal of Nanobiotechnology
#1,227
of 1,423 outputs
Outputs of similar age
#305,296
of 352,770 outputs
Outputs of similar age from Journal of Nanobiotechnology
#15
of 16 outputs
Altmetric has tracked 22,879,161 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 1,423 research outputs from this source. They receive a mean Attention Score of 3.5. 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 352,770 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 16 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.