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Optimizing Strategies for Developing Genetically Encoded Voltage Indicators
Genetically encoded optical indicators of neuronal activity enable unambiguous recordings of input-output activity patterns from identified cells in intact circuits. Among them, genetically encoded voltage indicators (GEVIs) offer additional advantages over calcium indicators as they are direct sens...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399427/ https://www.ncbi.nlm.nih.gov/pubmed/30863283 http://dx.doi.org/10.3389/fncel.2019.00053 |
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author | Kannan, Madhuvanthi Vasan, Ganesh Pieribone, Vincent A. |
author_facet | Kannan, Madhuvanthi Vasan, Ganesh Pieribone, Vincent A. |
author_sort | Kannan, Madhuvanthi |
collection | PubMed |
description | Genetically encoded optical indicators of neuronal activity enable unambiguous recordings of input-output activity patterns from identified cells in intact circuits. Among them, genetically encoded voltage indicators (GEVIs) offer additional advantages over calcium indicators as they are direct sensors of membrane potential and can adeptly report subthreshold events and hyperpolarization. Here, we outline the major GEVI designs and give an account of properties that need to be carefully optimized during indicator engineering. While designing the ideal GEVI, one should keep in mind aspects such as membrane localization, signal size, signal-to-noise ratio, kinetics and voltage dependence of optical responses. Using ArcLight and derivatives as prototypes, we delineate how a probe should be optimized for the former properties and developed along other areas in a need-based manner. Finally, we present an overview of the GEVI engineering process and lend an insight into their discovery, delivery and diagnosis. |
format | Online Article Text |
id | pubmed-6399427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63994272019-03-12 Optimizing Strategies for Developing Genetically Encoded Voltage Indicators Kannan, Madhuvanthi Vasan, Ganesh Pieribone, Vincent A. Front Cell Neurosci Neuroscience Genetically encoded optical indicators of neuronal activity enable unambiguous recordings of input-output activity patterns from identified cells in intact circuits. Among them, genetically encoded voltage indicators (GEVIs) offer additional advantages over calcium indicators as they are direct sensors of membrane potential and can adeptly report subthreshold events and hyperpolarization. Here, we outline the major GEVI designs and give an account of properties that need to be carefully optimized during indicator engineering. While designing the ideal GEVI, one should keep in mind aspects such as membrane localization, signal size, signal-to-noise ratio, kinetics and voltage dependence of optical responses. Using ArcLight and derivatives as prototypes, we delineate how a probe should be optimized for the former properties and developed along other areas in a need-based manner. Finally, we present an overview of the GEVI engineering process and lend an insight into their discovery, delivery and diagnosis. Frontiers Media S.A. 2019-02-26 /pmc/articles/PMC6399427/ /pubmed/30863283 http://dx.doi.org/10.3389/fncel.2019.00053 Text en Copyright © 2019 Kannan, Vasan and Pieribone. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Kannan, Madhuvanthi Vasan, Ganesh Pieribone, Vincent A. Optimizing Strategies for Developing Genetically Encoded Voltage Indicators |
title | Optimizing Strategies for Developing Genetically Encoded Voltage Indicators |
title_full | Optimizing Strategies for Developing Genetically Encoded Voltage Indicators |
title_fullStr | Optimizing Strategies for Developing Genetically Encoded Voltage Indicators |
title_full_unstemmed | Optimizing Strategies for Developing Genetically Encoded Voltage Indicators |
title_short | Optimizing Strategies for Developing Genetically Encoded Voltage Indicators |
title_sort | optimizing strategies for developing genetically encoded voltage indicators |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399427/ https://www.ncbi.nlm.nih.gov/pubmed/30863283 http://dx.doi.org/10.3389/fncel.2019.00053 |
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