Literature DB >> 26143170

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

Yiyang Gong1.   

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.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26143170      PMCID: PMC4571180          DOI: 10.1016/j.cbpa.2015.05.006

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  31 in total

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Authors:  J K Lanyi
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2.  Biophysical characterization of the fluorescent protein voltage probe VSFP2.3 based on the voltage-sensing domain of Ci-VSP.

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Review 4.  Genetically engineered fluorescent voltage reporters.

Authors:  Hiroki Mutoh; Walther Akemann; Thomas Knöpfel
Journal:  ACS Chem Neurosci       Date:  2012-06-06       Impact factor: 4.418

5.  Cl- -dependent photovoltage responses of bacteriorhodopsin: comparison of the D85T and D85S mutants and wild-type acid purple form.

Authors:  I V Kalaidzidis; A D Kaulen
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6.  Photon shot noise limits on optical detection of neuronal spikes and estimation of spike timing.

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Journal:  Biophys J       Date:  2013-01-08       Impact factor: 4.033

7.  Genetically targeted optical electrophysiology in intact neural circuits.

Authors:  Guan Cao; Jelena Platisa; Vincent A Pieribone; Davide Raccuglia; Michael Kunst; Michael N Nitabach
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8.  High-fidelity optical reporting of neuronal electrical activity with an ultrafast fluorescent voltage sensor.

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9.  Improving FRET dynamic range with bright green and red fluorescent proteins.

Authors:  Amy J Lam; François St-Pierre; Yiyang Gong; Jesse D Marshall; Paula J Cranfill; Michelle A Baird; Michael R McKeown; Jörg Wiedenmann; Michael W Davidson; Mark J Schnitzer; Roger Y Tsien; Michael Z Lin
Journal:  Nat Methods       Date:  2012-09-09       Impact factor: 28.547

10.  Engineering of a genetically encodable fluorescent voltage sensor exploiting fast Ci-VSP voltage-sensing movements.

Authors:  Alicia Lundby; Hiroki Mutoh; Dimitar Dimitrov; Walther Akemann; Thomas Knöpfel
Journal:  PLoS One       Date:  2008-06-25       Impact factor: 3.240

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  14 in total

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Review 3.  Genetically Encoded Voltage Indicators: Opportunities and Challenges.

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Review 5.  Advancements in the Quest to Map, Monitor, and Manipulate Neural Circuitry.

Authors:  Jessica L Swanson; Pey-Shyuan Chin; Juan M Romero; Snigdha Srivastava; Joshua Ortiz-Guzman; Patrick J Hunt; Benjamin R Arenkiel
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6.  High-speed compressed-sensing fluorescence lifetime imaging microscopy of live cells.

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7.  Illuminating Brain Activities with Fluorescent Protein-Based Biosensors.

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8.  Multi-scale approaches for high-speed imaging and analysis of large neural populations.

Authors:  Johannes Friedrich; Weijian Yang; Daniel Soudry; Yu Mu; Misha B Ahrens; Rafael Yuste; Darcy S Peterka; Liam Paninski
Journal:  PLoS Comput Biol       Date:  2017-08-03       Impact factor: 4.475

Review 9.  Design and development of genetically encoded fluorescent sensors to monitor intracellular chemical and physical parameters.

Authors:  Arno Germond; Hideaki Fujita; Taro Ichimura; Tomonobu M Watanabe
Journal:  Biophys Rev       Date:  2016-04-29

Review 10.  Advances in Intravital Non-Linear Optical Imaging of the Central Nervous System in Rodents.

Authors:  Geneviève Rougon; Sophie Brasselet; Franck Debarbieux
Journal:  Brain Plast       Date:  2016-12-21
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