FRET-based genetically-encoded sensors for quantitative monitoring of metabolites

Neighboring cells in the same tissue can exist in different states of dynamic activities. After genomics, proteomics and metabolomics, fluxomics is now equally important for generating accurate quantitative information on the cellular and sub-cellular dynamics of ions and metabolite, which is critic...

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Veröffentlicht in:Biotechnology letters 2015-10, Vol.37 (10), p.1919-1928
Hauptverfasser: Mohsin, Mohd, Ahmad, Altaf, Iqbal, Muhammad
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container_issue 10
container_start_page 1919
container_title Biotechnology letters
container_volume 37
creator Mohsin, Mohd
Ahmad, Altaf
Iqbal, Muhammad
description Neighboring cells in the same tissue can exist in different states of dynamic activities. After genomics, proteomics and metabolomics, fluxomics is now equally important for generating accurate quantitative information on the cellular and sub-cellular dynamics of ions and metabolite, which is critical for functional understanding of organisms. Various spectrometry techniques are used for monitoring ions and metabolites, although their temporal and spatial resolutions are limited. Discovery of the fluorescent proteins and their variants has revolutionized cell biology. Therefore, novel tools and methods targeting sub-cellular compartments need to be deployed in specific cells and targeted to sub-cellular compartments in order to quantify the target-molecule dynamics directly. We require tools that can measure cellular activities and protein dynamics with sub-cellular resolution. Biosensors based on fluorescence resonance energy transfer (FRET) are genetically encoded and hence can specifically target sub-cellular organelles by fusion to proteins or targetted sequences. Since last decade, FRET-based genetically encoded sensors for molecules involved in energy production, reactive oxygen species and secondary messengers have helped to unravel key aspects of cellular physiology. This review, describing the design and principles of sensors, presents a database of sensors for different analytes/processes, and illustrate examples of application in quantitative live cell imaging.
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subjects Applied Microbiology
Biochemistry
Biomedical and Life Sciences
Biosensing Techniques - methods
Biosensors
Biotechnology
Cellular
Dynamics
Energy transfer
Fluorescence
Fluorescence Resonance Energy Transfer - methods
fluorescent proteins
Fretting
Genetic engineering
genomics
image analysis
Ions
Life Sciences
Luminescent Proteins - analysis
Luminescent Proteins - genetics
Metabolic Flux Analysis - methods
Metabolites
metabolomics
Microbiology
Monitoring
organelles
physiology
Proteins
proteomics
reactive oxygen species
Recombinant Fusion Proteins - analysis
Recombinant Fusion Proteins - genetics
Review
second messengers
Sensors
Spectrometry
spectroscopy
title FRET-based genetically-encoded sensors for quantitative monitoring of metabolites
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