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A high-speed, bright, red fluorescent voltage sensor to detect neural activity
Genetically encoded voltage indicators (GEVIs) have emerged as a technology to optically record neural activity with genetic specificity and millisecond-scale temporal resolution using fluorescence microscopy. GEVIs have demonstrated ultra-fast kinetics and high spike detection fidelity in vivo, but...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6828731/ https://www.ncbi.nlm.nih.gov/pubmed/31685893 http://dx.doi.org/10.1038/s41598-019-52370-8 |
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author | Beck, Connor Gong, Yiyang |
author_facet | Beck, Connor Gong, Yiyang |
author_sort | Beck, Connor |
collection | PubMed |
description | Genetically encoded voltage indicators (GEVIs) have emerged as a technology to optically record neural activity with genetic specificity and millisecond-scale temporal resolution using fluorescence microscopy. GEVIs have demonstrated ultra-fast kinetics and high spike detection fidelity in vivo, but existing red-fluorescent voltage indicators fall short of the response and brightness achieved by green fluorescent protein-based sensors. Furthermore, red-fluorescent GEVIs suffer from incomplete spectral separation from green sensors and blue-light-activated optogenetic actuators. We have developed Ace-mScarlet, a red fluorescent GEVI that fuses Ace2N, a voltage-sensitive inhibitory rhodopsin, with mScarlet, a bright red fluorescent protein (FP). Through fluorescence resonance energy transfer (FRET), our sensor detects changes in membrane voltage with high sensitivity and brightness and has kinetics comparable to the fastest green fluorescent sensors. Ace-mScarlet’s red-shifted absorption and emission spectra facilitate virtually complete spectral separation when used in combination with green-fluorescent sensors or with blue-light-sensitive sensors and rhodopsins. This spectral separation enables both simultaneous imaging in two separate wavelength channels and high-fidelity voltage recordings during simultaneous optogenetic perturbation. |
format | Online Article Text |
id | pubmed-6828731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68287312019-11-12 A high-speed, bright, red fluorescent voltage sensor to detect neural activity Beck, Connor Gong, Yiyang Sci Rep Article Genetically encoded voltage indicators (GEVIs) have emerged as a technology to optically record neural activity with genetic specificity and millisecond-scale temporal resolution using fluorescence microscopy. GEVIs have demonstrated ultra-fast kinetics and high spike detection fidelity in vivo, but existing red-fluorescent voltage indicators fall short of the response and brightness achieved by green fluorescent protein-based sensors. Furthermore, red-fluorescent GEVIs suffer from incomplete spectral separation from green sensors and blue-light-activated optogenetic actuators. We have developed Ace-mScarlet, a red fluorescent GEVI that fuses Ace2N, a voltage-sensitive inhibitory rhodopsin, with mScarlet, a bright red fluorescent protein (FP). Through fluorescence resonance energy transfer (FRET), our sensor detects changes in membrane voltage with high sensitivity and brightness and has kinetics comparable to the fastest green fluorescent sensors. Ace-mScarlet’s red-shifted absorption and emission spectra facilitate virtually complete spectral separation when used in combination with green-fluorescent sensors or with blue-light-sensitive sensors and rhodopsins. This spectral separation enables both simultaneous imaging in two separate wavelength channels and high-fidelity voltage recordings during simultaneous optogenetic perturbation. Nature Publishing Group UK 2019-11-04 /pmc/articles/PMC6828731/ /pubmed/31685893 http://dx.doi.org/10.1038/s41598-019-52370-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Beck, Connor Gong, Yiyang A high-speed, bright, red fluorescent voltage sensor to detect neural activity |
title | A high-speed, bright, red fluorescent voltage sensor to detect neural activity |
title_full | A high-speed, bright, red fluorescent voltage sensor to detect neural activity |
title_fullStr | A high-speed, bright, red fluorescent voltage sensor to detect neural activity |
title_full_unstemmed | A high-speed, bright, red fluorescent voltage sensor to detect neural activity |
title_short | A high-speed, bright, red fluorescent voltage sensor to detect neural activity |
title_sort | high-speed, bright, red fluorescent voltage sensor to detect neural activity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6828731/ https://www.ncbi.nlm.nih.gov/pubmed/31685893 http://dx.doi.org/10.1038/s41598-019-52370-8 |
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