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The evolving capabilities of rhodopsin-based genetically encoded voltage indicators.

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Date
2015-08
Author
Gong, Yiyang
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Abstract
Protein engineering over the past four years has made rhodopsin-based genetically encoded voltage indicators a leading candidate to achieve the task of reporting action potentials from a population of genetically targeted neurons in vivo. Rational design and large-scale screening efforts have steadily improved the dynamic range and kinetics of the rhodopsin voltage-sensing domain, and coupling these rhodopsins to bright fluorescent proteins has supported bright fluorescence readout of the large and rapid rhodopsin voltage response. The rhodopsin-fluorescent protein fusions have the highest achieved signal-to-noise ratios for detecting action potentials in neuronal cultures to date, and have successfully reported single spike events in vivo. Given the rapid pace of current development, the genetically encoded voltage indicator class is nearing the goal of robust spike imaging during live-animal behavioral experiments.
Type
Journal article
Subject
Action Potentials
Animals
Biosensing Techniques
Cells, Cultured
Fluorescence Resonance Energy Transfer
Fluorescent Dyes
Humans
Kinetics
Luminescent Proteins
Neurons
Recombinant Fusion Proteins
Rhodopsin
Voltage-Sensitive Dye Imaging
Permalink
https://hdl.handle.net/10161/10439
Published Version (Please cite this version)
10.1016/j.cbpa.2015.05.006
Publication Info
Gong, Yiyang (2015). The evolving capabilities of rhodopsin-based genetically encoded voltage indicators. Curr Opin Chem Biol, 27. pp. 84-89. 10.1016/j.cbpa.2015.05.006. Retrieved from https://hdl.handle.net/10161/10439.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Gong

Yiyang Gong

Assistant Professor in the Department of Biomedical Engineering
We're interested in understanding brain function using the combination of genetically encoded sensors and optical techniques. Using genetically encoded tools, we can target specific neuron types or specific projection pathways for recording or perturbation. Using optical microscopy, we can access individual neurons with high spatial and temporal accuracy. By employing and developing tools in both categories, we study brain circuitry by recording, perturbing, and controlling brain activity in var
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