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

dc.contributor.author

Gong, Yiyang

dc.coverage.spatial

England

dc.date.accessioned

2015-08-28T03:46:22Z

dc.date.issued

2015-08

dc.description.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.

dc.identifier

http://www.ncbi.nlm.nih.gov/pubmed/26143170

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S1367-5931(15)00046-0

dc.identifier.eissn

1879-0402

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https://hdl.handle.net/10161/10439

dc.language

eng

dc.publisher

Elsevier BV

dc.relation.ispartof

Curr Opin Chem Biol

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10.1016/j.cbpa.2015.05.006

dc.subject

Action Potentials

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Animals

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Biosensing Techniques

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Cells, Cultured

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Fluorescence Resonance Energy Transfer

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Fluorescent Dyes

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Humans

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Kinetics

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Luminescent Proteins

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Neurons

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Recombinant Fusion Proteins

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Rhodopsin

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Voltage-Sensitive Dye Imaging

dc.title

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

dc.type

Journal article

pubs.author-url

http://www.ncbi.nlm.nih.gov/pubmed/26143170

pubs.begin-page

84

pubs.end-page

89

pubs.organisational-group

Basic Science Departments

pubs.organisational-group

Biomedical Engineering

pubs.organisational-group

Duke

pubs.organisational-group

Duke Institute for Brain Sciences

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Electrical and Computer Engineering

pubs.organisational-group

Institutes and Provost's Academic Units

pubs.organisational-group

Neurobiology

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Pratt School of Engineering

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School of Medicine

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University Institutes and Centers

pubs.publication-status

Published

pubs.volume

27

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