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

被引:27
|
作者
Mohsin, Mohd. [1 ]
Ahmad, Altaf [2 ]
Iqbal, Muhammad [3 ]
机构
[1] Jamia Millia Islamia, Dept Biosci, New Delhi 110025, India
[2] Aligarh Muslim Univ, Dept Bot, Aligarh 202002, Uttar Pradesh, India
[3] Hamdard Univ, Dept Bot, New Delhi 110062, India
关键词
Fluorescent protein; FRET; Flux; Imaging; Metabolite; Sensor; RESONANCE ENERGY-TRANSFER; CORYNEBACTERIUM-GLUTAMICUM; VISUALIZATION; PROTEIN; CELL; NANOSENSOR; RECEPTORS; BACTERIAL; LEAVES; LIGHT;
D O I
10.1007/s10529-015-1873-6
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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.
引用
收藏
页码:1919 / 1928
页数:10
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