Evidence map›Paper›PMID 27334743›Full record

ArticleJournal of nanobiotechnology2016

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

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

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
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  5. Article
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  8. Article
  9. Review
  10. A Non-Invasive Tool for Real-Time Measurement of Sulfate in Living Cells.International journal of molecular sciences · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Synthesis of eco-friendly silver nanoparticles usingSaudi journal of biological sciences · 2019
    Article
  15. FRET Microscopy in Yeast.Biosensors · 2019
    Review
  16. Article
  17. Article
  18. Review
  19. In vivo biosensors: mechanisms, development, and applications.Journal of industrial microbiology & biotechnology · 2018
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 3 countries.

Seema AmeenDepartment of Botany, Faculty of Science, Hamdard University, New Delhi, India.
Mohammad AhmadDepartment of Botany, Faculty of Science, Hamdard University, New Delhi, India.
Mohd MohsinDepartment of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India.
M Irfan QureshiDepartment of Biotechnology, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India.
Mohamed M IbrahimDepartment of Botany & Microbiology, Science College, King Saud University, P.O. Box 2455, Riyadh, Saudi Arabia.
Malik Z AbdinDepartment of Biotechnology, Faculty of Science, Hamdard University, New Delhi, India.
Altaf AhmadDepartment of Botany, Faculty of Science, Hamdard University, New Delhi, India. aahmad.bo@amu.ac.in.ORCID http://orcid.org/0000-0003-4099-7338
Jamia Hamdard · INAligarh Muslim University · INDepartment of Biotechnology · INJamia Millia Islamia · INKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEngineering 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.

resultsThe 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.

conclusionThe 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.

Indexed as

Bacterial ProteinsBiosensing TechniquesEscherichia coliFluorescence Resonance Energy TransferFluorescent DyesGreen Fluorescent ProteinsLuminescent ProteinsLysineModels, MolecularOptical ImagingRecombinant Fusion ProteinsSaccharomyces cerevisiaeSalmonella typhiBacterial ProteinsCyan Fluorescent ProteinFluorescent DyesGreen Fluorescent ProteinsLuminescent ProteinsLysineRecombinant Fusion Proteinsyellow fluorescent protein, BacteriaFluorescent proteinFluorescent resonance energy transfer (FRET)Genetically encoded nanosensorLysinePeriplasmic binding protein

Identifiers

PMID27334743
PMCPMC4917951
OpenAlexW2472122738

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.