A Fluorescence Resonance Energy Transfer-Based Analytical Tool for Nitrate Quantification in Living Cells
Author(s) -
Urooj Fatima,
Fuád Ameén,
Neha Soleja,
Parvez Κhan,
Abobakr Almansob,
Altaf Ahmad
Publication year - 2020
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.0c04868
Subject(s) - förster resonance energy transfer , nitrate , nanosensor , biophysics , chemistry , flux (metallurgy) , fluorescence , biological system , environmental chemistry , biochemistry , biology , nanotechnology , materials science , ecology , physics , organic chemistry , quantum mechanics
Nitrate (NO 3 - ) is a critical source of nitrogen (N) available to microorganisms and plants. Nitrate sensing activates signaling pathways in the plant system that impinges upon, developmental, molecular, metabolic, and physiological responses locally, and globally. To sustain, the high crop productivity and high nutritional value along with the sustainable environment, the study of rate-controlling steps of a metabolic network of N assimilation through fluxomics becomes an attractive strategy. To monitor the flux of nitrate, we developed a non-invasive genetically encoded fluorescence resonance energy transfer (FRET)-based tool named "FLIP-NT" that monitors the real-time uptake of nitrate in the living cells. The developed nanosensor is suitable for real-time monitoring of nitrate flux in living cells at subcellular compartments with high spatio-temporal resolution. The developed FLIP-NT nanosensor was not affected by the pH change and have specificity for nitrate with an affinity constant ( K d ) of ∼5 μM. A series of affinity mutants have also been generated to expand the physiological detection range of the sensor protein with varying K d values. It has been found that this sensor successfully detects the dynamics of nitrate fluctuations in bacteria and yeast, without the disruption of cellular organization. This FLIP-NT nanosensor could be a very important tool that will help us to advance the understanding of nitrate signaling.
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