Literature DB >> 26079047

Designs and sensing mechanisms of genetically encoded fluorescent voltage indicators.

François St-Pierre1, Mariya Chavarha1, Michael Z Lin2.   

Abstract

Neurons tightly regulate the electrical potential difference across the plasma membrane with millivolt accuracy and millisecond resolution. Membrane voltage dynamics underlie the generation of an impulse, the transduction of impulses from one end of the neuron to the other, and the release of neurotransmitters. Imaging these voltage dynamics in multiple neurons simultaneously is therefore crucial for understanding how neurons function together within circuits in intact brains. Genetically encoded fluorescent voltage sensors have long been desired to report voltage in defined subsets of neurons with optical readout. In this review, we discuss the diverse strategies used to design and optimize protein-based voltage sensors, and highlight the chemical mechanisms by which different classes of reporters sense voltage. To guide neuroscientists in choosing an appropriate sensor for their applications, we also describe operating trade-offs of each class of voltage indicators.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26079047      PMCID: PMC4553077          DOI: 10.1016/j.cbpa.2015.05.003

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


  61 in total

1.  A genetically targetable fluorescent probe of channel gating with rapid kinetics.

Authors:  Kazuto Ataka; Vincent A Pieribone
Journal:  Biophys J       Date:  2002-01       Impact factor: 4.033

2.  Mechanism of voltage gating in potassium channels.

Authors:  Morten Ø Jensen; Vishwanath Jogini; David W Borhani; Abba E Leffler; Ron O Dror; David E Shaw
Journal:  Science       Date:  2012-04-13       Impact factor: 47.728

3.  Improving membrane voltage measurements using FRET with new fluorescent proteins.

Authors:  Hidekazu Tsutsui; Satoshi Karasawa; Yasushi Okamura; Atsushi Miyawaki
Journal:  Nat Methods       Date:  2008-07-11       Impact factor: 28.547

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.  S4-based voltage sensors have three major conformations.

Authors:  Carlos A Villalba-Galea; Walter Sandtner; Dorine M Starace; Francisco Bezanilla
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-25       Impact factor: 11.205

6.  Imaging brain electric signals with genetically targeted voltage-sensitive fluorescent proteins.

Authors:  Walther Akemann; Hiroki Mutoh; Amélie Perron; Jean Rossier; Thomas Knöpfel
Journal:  Nat Methods       Date:  2010-07-11       Impact factor: 28.547

7.  Two-photon scanning microscopy of in vivo sensory responses of cortical neurons genetically encoded with a fluorescent voltage sensor in rat.

Authors:  Kurt F Ahrens; Barbara Heider; Hanson Lee; Ehud Y Isacoff; Ralph M Siegel
Journal:  Front Neural Circuits       Date:  2012-03-22       Impact factor: 3.492

8.  High-fidelity optical reporting of neuronal electrical activity with an ultrafast fluorescent voltage sensor.

Authors:  François St-Pierre; Jesse D Marshall; Ying Yang; Yiyang Gong; Mark J Schnitzer; Michael Z Lin
Journal:  Nat Neurosci       Date:  2014-04-22       Impact factor: 24.884

9.  Voltage imaging of waking mouse cortex reveals emergence of critical neuronal dynamics.

Authors:  Gregory Scott; Erik D Fagerholm; Hiroki Mutoh; Robert Leech; David J Sharp; Woodrow L Shew; Thomas Knöpfel
Journal:  J Neurosci       Date:  2014-12-10       Impact factor: 6.167

10.  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

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  40 in total

1.  Precise Time Superresolution by Event Correlation Microscopy.

Authors:  Qinghua Fang; Ying Zhao; Manfred Lindau
Journal:  Biophys J       Date:  2019-04-05       Impact factor: 4.033

Review 2.  Emerging tools to study enteric neuromuscular function.

Authors:  Brian D Gulbransen
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2017-03-09       Impact factor: 4.052

3.  Computational design of orthogonal membrane receptor-effector switches for rewiring signaling pathways.

Authors:  M Young; T Dahoun; B Sokrat; C Arber; K M Chen; M Bouvier; P Barth
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-18       Impact factor: 11.205

Review 4.  Plant mechanosensitive ion channels: an ocean of possibilities.

Authors:  Debarati Basu; Elizabeth S Haswell
Journal:  Curr Opin Plant Biol       Date:  2017-09-04       Impact factor: 7.834

Review 5.  Optogenetics: Turning the Microscope on Its Head.

Authors:  Adam E Cohen
Journal:  Biophys J       Date:  2016-03-08       Impact factor: 4.033

Review 6.  Genetically Encoded Voltage Indicators: Opportunities and Challenges.

Authors:  Helen H Yang; François St-Pierre
Journal:  J Neurosci       Date:  2016-09-28       Impact factor: 6.167

Review 7.  Voltage and Calcium Imaging of Brain Activity.

Authors:  Masoud Sepehri Rad; Yunsook Choi; Lawrence B Cohen; Bradley J Baker; Sheng Zhong; Douglas A Storace; Oliver R Braubach
Journal:  Biophys J       Date:  2017-11-01       Impact factor: 4.033

Review 8.  Genetically encoded indicators of neuronal activity.

Authors:  Michael Z Lin; Mark J Schnitzer
Journal:  Nat Neurosci       Date:  2016-08-26       Impact factor: 24.884

Review 9.  Structure-guided wavelength tuning in far-red fluorescent proteins.

Authors:  Ho-Leung Ng; Michael Z Lin
Journal:  Curr Opin Struct Biol       Date:  2016-07-25       Impact factor: 6.809

Review 10.  Toward Better Genetically Encoded Sensors of Membrane Potential.

Authors:  Douglas Storace; Masoud Sepehri Rad; BokEum Kang; Lawrence B Cohen; Thom Hughes; Bradley J Baker
Journal:  Trends Neurosci       Date:  2016-05       Impact factor: 13.837

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