2005
DOI: 10.1073/pnas.0503274102
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Detection of glutamate release from neurons by genetically encoded surface-displayed FRET nanosensors

Abstract: Glutamate is the predominant excitatory neurotransmitter in the mammalian brain. Once released, its rapid removal from the synaptic cleft is critical for preventing excitotoxicity and spillover to neighboring synapses. Despite consensus on the role of glutamate in normal and disease physiology, technical issues limit our understanding of its metabolism in intact cells. To monitor glutamate levels inside and at the surface of living cells, genetically encoded nanosensors were developed. The fluorescent indicato… Show more

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Cited by 362 publications
(324 citation statements)
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“…The hinge-twist motion induced by ligand binding to the recognition element is translated into a change in fluorescence resonance energy transfer between attached enhanced cyan fluorescent protein and enhanced yellow fluorescent protein moieties, permitting noninvasive measurements of analyte levels in living cells (14). For determination of analyte levels inside organelles, e.g., glucose in the nuclear compartment or glutamate at the cell surface, these genetically encoded nanosensors can be targeted to respective subcellular compartments (11,29).…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…The hinge-twist motion induced by ligand binding to the recognition element is translated into a change in fluorescence resonance energy transfer between attached enhanced cyan fluorescent protein and enhanced yellow fluorescent protein moieties, permitting noninvasive measurements of analyte levels in living cells (14). For determination of analyte levels inside organelles, e.g., glucose in the nuclear compartment or glutamate at the cell surface, these genetically encoded nanosensors can be targeted to respective subcellular compartments (11,29).…”
mentioning
confidence: 99%
“…Recently, genetically encoded fluorescence resonance energy transfer (FRET)-based nanosensors for a variety of sugars and amino acids were developed. The nanosensors consist of the bacterial periplasmic binding proteins as a recognition element coupled allosterically to a set of two spectral variants of the green fluorescent protein (GFP) as reporter elements (13,14,20,29). The hinge-twist motion induced by ligand binding to the recognition element is translated into a change in fluorescence resonance energy transfer between attached enhanced cyan fluorescent protein and enhanced yellow fluorescent protein moieties, permitting noninvasive measurements of analyte levels in living cells (14).…”
mentioning
confidence: 99%
“…4B; Conway et al, 2014Conway et al, , 2017Newman et al, 2011). Applications in cell proliferation (Harvey et al, 2008;Mochizuki et al, 2001), survival (Onuki et al, 2002;Tyas et al, 2000), signalling (Shih and Qi, 2017;Weitsman et al, 2016), immune cell activity (Choi and Mitchison, 2013;Li et al, 2016b), metabolism (Fehr et al, 2003;Imamura et al, 2009;Mächler et al, 2016;Okumoto et al, 2005) or migration (Seong et al, 2011;Wang et al, 2005) with a recent move to generate GEMMs of FRET biosensors for high-fidelity intravital imaging (Johnsson et al, 2014;Kamioka et al, 2012;Mukherjee et al, 2016;Nobis et al, 2017).…”
Section: Box 1 Subcellular Imaging Techniquesmentioning
confidence: 99%
“…Despite the relative technical ease of preparing such a sensor, the outcome is hard to predict. Accordingly, the number of reporters that are able to monitor changes in molecule counts is very limited, but reporters for cAMP (Adams et al, 1991;Nikolaev et al, 2004;Zaccolo et al, 2000), cyclic guanosine 3Ј ,5Ј-monophosphate (cGMP) (Honda et al, 2001), H 2 O 2 , myo-inositol 1,4,5-trisphosphate (Morii et al, 2002), glucose , maltose (Fehr et al, 2002), ribose , phosphate (Gu et al, 2006), glutamate (Okumoto et al, 2005), and lipopolysaccharide (LPS) (Voss et al, 2007) have been introduced. For quantification in cells, in vitro derived binding constants could be used.…”
Section: Fluorescent Sensors For Time-lapse Microscopymentioning
confidence: 99%