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Fast and sensitive GCaMP calcium indicators for imaging neural populations
Calcium imaging with protein-based indicators(1,2) is widely used to follow neural activity in intact nervous systems, but current protein sensors report neural activity at timescales much slower than electrical signalling and are limited by trade-offs between sensitivity and kinetics. Here we used...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060165/ https://www.ncbi.nlm.nih.gov/pubmed/36922596 http://dx.doi.org/10.1038/s41586-023-05828-9 |
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author | Zhang, Yan Rózsa, Márton Liang, Yajie Bushey, Daniel Wei, Ziqiang Zheng, Jihong Reep, Daniel Broussard, Gerard Joey Tsang, Arthur Tsegaye, Getahun Narayan, Sujatha Obara, Christopher J. Lim, Jing-Xuan Patel, Ronak Zhang, Rongwei Ahrens, Misha B. Turner, Glenn C. Wang, Samuel S.-H. Korff, Wyatt L. Schreiter, Eric R. Svoboda, Karel Hasseman, Jeremy P. Kolb, Ilya Looger, Loren L. |
author_facet | Zhang, Yan Rózsa, Márton Liang, Yajie Bushey, Daniel Wei, Ziqiang Zheng, Jihong Reep, Daniel Broussard, Gerard Joey Tsang, Arthur Tsegaye, Getahun Narayan, Sujatha Obara, Christopher J. Lim, Jing-Xuan Patel, Ronak Zhang, Rongwei Ahrens, Misha B. Turner, Glenn C. Wang, Samuel S.-H. Korff, Wyatt L. Schreiter, Eric R. Svoboda, Karel Hasseman, Jeremy P. Kolb, Ilya Looger, Loren L. |
author_sort | Zhang, Yan |
collection | PubMed |
description | Calcium imaging with protein-based indicators(1,2) is widely used to follow neural activity in intact nervous systems, but current protein sensors report neural activity at timescales much slower than electrical signalling and are limited by trade-offs between sensitivity and kinetics. Here we used large-scale screening and structure-guided mutagenesis to develop and optimize several fast and sensitive GCaMP-type indicators(3–8). The resulting ‘jGCaMP8’ sensors, based on the calcium-binding protein calmodulin and a fragment of endothelial nitric oxide synthase, have ultra-fast kinetics (half-rise times of 2 ms) and the highest sensitivity for neural activity reported for a protein-based calcium sensor. jGCaMP8 sensors will allow tracking of large populations of neurons on timescales relevant to neural computation. |
format | Online Article Text |
id | pubmed-10060165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100601652023-03-31 Fast and sensitive GCaMP calcium indicators for imaging neural populations Zhang, Yan Rózsa, Márton Liang, Yajie Bushey, Daniel Wei, Ziqiang Zheng, Jihong Reep, Daniel Broussard, Gerard Joey Tsang, Arthur Tsegaye, Getahun Narayan, Sujatha Obara, Christopher J. Lim, Jing-Xuan Patel, Ronak Zhang, Rongwei Ahrens, Misha B. Turner, Glenn C. Wang, Samuel S.-H. Korff, Wyatt L. Schreiter, Eric R. Svoboda, Karel Hasseman, Jeremy P. Kolb, Ilya Looger, Loren L. Nature Article Calcium imaging with protein-based indicators(1,2) is widely used to follow neural activity in intact nervous systems, but current protein sensors report neural activity at timescales much slower than electrical signalling and are limited by trade-offs between sensitivity and kinetics. Here we used large-scale screening and structure-guided mutagenesis to develop and optimize several fast and sensitive GCaMP-type indicators(3–8). The resulting ‘jGCaMP8’ sensors, based on the calcium-binding protein calmodulin and a fragment of endothelial nitric oxide synthase, have ultra-fast kinetics (half-rise times of 2 ms) and the highest sensitivity for neural activity reported for a protein-based calcium sensor. jGCaMP8 sensors will allow tracking of large populations of neurons on timescales relevant to neural computation. Nature Publishing Group UK 2023-03-15 2023 /pmc/articles/PMC10060165/ /pubmed/36922596 http://dx.doi.org/10.1038/s41586-023-05828-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Yan Rózsa, Márton Liang, Yajie Bushey, Daniel Wei, Ziqiang Zheng, Jihong Reep, Daniel Broussard, Gerard Joey Tsang, Arthur Tsegaye, Getahun Narayan, Sujatha Obara, Christopher J. Lim, Jing-Xuan Patel, Ronak Zhang, Rongwei Ahrens, Misha B. Turner, Glenn C. Wang, Samuel S.-H. Korff, Wyatt L. Schreiter, Eric R. Svoboda, Karel Hasseman, Jeremy P. Kolb, Ilya Looger, Loren L. Fast and sensitive GCaMP calcium indicators for imaging neural populations |
title | Fast and sensitive GCaMP calcium indicators for imaging neural populations |
title_full | Fast and sensitive GCaMP calcium indicators for imaging neural populations |
title_fullStr | Fast and sensitive GCaMP calcium indicators for imaging neural populations |
title_full_unstemmed | Fast and sensitive GCaMP calcium indicators for imaging neural populations |
title_short | Fast and sensitive GCaMP calcium indicators for imaging neural populations |
title_sort | fast and sensitive gcamp calcium indicators for imaging neural populations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060165/ https://www.ncbi.nlm.nih.gov/pubmed/36922596 http://dx.doi.org/10.1038/s41586-023-05828-9 |
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