2016
DOI: 10.1186/s12951-016-0204-y
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Designing, construction and characterization of genetically encoded FRET-based nanosensor for real time monitoring of lysine flux in living cells

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 c… Show more

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Cited by 49 publications
(29 citation statements)
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“…By contrast, the sensor with the cpLAO-BP showed a typical sigmoidal binding isotherm with a high sensitivity, which referred to a FRET-ratio shift of ΔR = 0.47 (28%, Figure 2). Similar sensors described in the literature displayed a FRET-ratio shift of 57% [21] or of ΔR = 0.28 (56%) [43], respectively.…”
Section: Resultsmentioning
confidence: 59%
“…By contrast, the sensor with the cpLAO-BP showed a typical sigmoidal binding isotherm with a high sensitivity, which referred to a FRET-ratio shift of ΔR = 0.47 (28%, Figure 2). Similar sensors described in the literature displayed a FRET-ratio shift of 57% [21] or of ΔR = 0.28 (56%) [43], respectively.…”
Section: Resultsmentioning
confidence: 59%
“…We expect that this study will help to develop many more FRET-based genetically encoded nanosensors based on steady-state fluorescence anisotropy. Up to now, a diverse range of FRET-based genetically encoded nanosensors have been designed and constructed by exploring different sets of fluorescent proteins and different ligand binding periplasmic proteins to acquire live-cell imaging of bacterial cells for the ideal representation of the nanosensors [30][31][32]. The FLIP-SP will be useful for studying sulfate uptake, translocation, and regulatory mechanisms controlling compartmental SO 4 2− homeostasis.…”
Section: Discussionmentioning
confidence: 99%
“…This permits GEII to reliably detect even small changes in isoleucine concentration under high noise conditions. It must be noted that such large dynamic ranges are relatively uncommon for PBP-based sensors, with a number of sensors exhibiting only moderate FRET ratio changes (∆ FRET-RATIO < 0.3) [25][26][27]. The explanation of the impressive dynamic range of GEII is two-fold.…”
Section: Spectral Analysis Of Nanosensormentioning
confidence: 99%