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An Optimized Mouse Brain Atlas for Automated Mapping and Quantification of Neuronal Activity Using iDISCO+ and Light Sheet Fluorescence Microscopy
In recent years, the combination of whole-brain immunolabelling, light sheet fluorescence microscopy (LSFM) and subsequent registration of data with a common reference atlas, has enabled 3D visualization and quantification of fluorescent markers or tracers in the adult mouse brain. Today, the common...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233272/ https://www.ncbi.nlm.nih.gov/pubmed/33063286 http://dx.doi.org/10.1007/s12021-020-09490-8 |
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author | Perens, Johanna Salinas, Casper Gravesen Skytte, Jacob Lercke Roostalu, Urmas Dahl, Anders Bjorholm Dyrby, Tim B. Wichern, Franziska Barkholt, Pernille Vrang, Niels Jelsing, Jacob Hecksher-Sørensen, Jacob |
author_facet | Perens, Johanna Salinas, Casper Gravesen Skytte, Jacob Lercke Roostalu, Urmas Dahl, Anders Bjorholm Dyrby, Tim B. Wichern, Franziska Barkholt, Pernille Vrang, Niels Jelsing, Jacob Hecksher-Sørensen, Jacob |
author_sort | Perens, Johanna |
collection | PubMed |
description | In recent years, the combination of whole-brain immunolabelling, light sheet fluorescence microscopy (LSFM) and subsequent registration of data with a common reference atlas, has enabled 3D visualization and quantification of fluorescent markers or tracers in the adult mouse brain. Today, the common coordinate framework version 3 developed by the Allen’s Institute of Brain Science (AIBS CCFv3), is widely used as the standard brain atlas for registration of LSFM data. However, the AIBS CCFv3 is based on histological processing and imaging modalities different from those used for LSFM imaging and consequently, the data differ in both tissue contrast and morphology. To improve the accuracy and speed by which LSFM-imaged whole-brain data can be registered and quantified, we have created an optimized digital mouse brain atlas based on immunolabelled and solvent-cleared brains. Compared to the AIBS CCFv3 atlas, our atlas resulted in faster and more accurate mapping of neuronal activity as measured by c-Fos expression, especially in the hindbrain. We further demonstrated utility of the LSFM atlas by comparing whole-brain quantitative changes in c-Fos expression following acute administration of semaglutide in lean and diet-induced obese mice. In combination with an improved algorithm for c-Fos detection, the LSFM atlas enables unbiased and computationally efficient characterization of drug effects on whole-brain neuronal activity patterns. In conclusion, we established an optimized reference atlas for more precise mapping of fluorescent markers, including c-Fos, in mouse brains processed for LSFM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12021-020-09490-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-8233272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-82332722021-07-09 An Optimized Mouse Brain Atlas for Automated Mapping and Quantification of Neuronal Activity Using iDISCO+ and Light Sheet Fluorescence Microscopy Perens, Johanna Salinas, Casper Gravesen Skytte, Jacob Lercke Roostalu, Urmas Dahl, Anders Bjorholm Dyrby, Tim B. Wichern, Franziska Barkholt, Pernille Vrang, Niels Jelsing, Jacob Hecksher-Sørensen, Jacob Neuroinformatics Original Article In recent years, the combination of whole-brain immunolabelling, light sheet fluorescence microscopy (LSFM) and subsequent registration of data with a common reference atlas, has enabled 3D visualization and quantification of fluorescent markers or tracers in the adult mouse brain. Today, the common coordinate framework version 3 developed by the Allen’s Institute of Brain Science (AIBS CCFv3), is widely used as the standard brain atlas for registration of LSFM data. However, the AIBS CCFv3 is based on histological processing and imaging modalities different from those used for LSFM imaging and consequently, the data differ in both tissue contrast and morphology. To improve the accuracy and speed by which LSFM-imaged whole-brain data can be registered and quantified, we have created an optimized digital mouse brain atlas based on immunolabelled and solvent-cleared brains. Compared to the AIBS CCFv3 atlas, our atlas resulted in faster and more accurate mapping of neuronal activity as measured by c-Fos expression, especially in the hindbrain. We further demonstrated utility of the LSFM atlas by comparing whole-brain quantitative changes in c-Fos expression following acute administration of semaglutide in lean and diet-induced obese mice. In combination with an improved algorithm for c-Fos detection, the LSFM atlas enables unbiased and computationally efficient characterization of drug effects on whole-brain neuronal activity patterns. In conclusion, we established an optimized reference atlas for more precise mapping of fluorescent markers, including c-Fos, in mouse brains processed for LSFM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12021-020-09490-8) contains supplementary material, which is available to authorized users. Springer US 2020-10-16 2021 /pmc/articles/PMC8233272/ /pubmed/33063286 http://dx.doi.org/10.1007/s12021-020-09490-8 Text en © The Author(s) 2020 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 | Original Article Perens, Johanna Salinas, Casper Gravesen Skytte, Jacob Lercke Roostalu, Urmas Dahl, Anders Bjorholm Dyrby, Tim B. Wichern, Franziska Barkholt, Pernille Vrang, Niels Jelsing, Jacob Hecksher-Sørensen, Jacob An Optimized Mouse Brain Atlas for Automated Mapping and Quantification of Neuronal Activity Using iDISCO+ and Light Sheet Fluorescence Microscopy |
title | An Optimized Mouse Brain Atlas for Automated Mapping and Quantification of Neuronal Activity Using iDISCO+ and Light Sheet Fluorescence Microscopy |
title_full | An Optimized Mouse Brain Atlas for Automated Mapping and Quantification of Neuronal Activity Using iDISCO+ and Light Sheet Fluorescence Microscopy |
title_fullStr | An Optimized Mouse Brain Atlas for Automated Mapping and Quantification of Neuronal Activity Using iDISCO+ and Light Sheet Fluorescence Microscopy |
title_full_unstemmed | An Optimized Mouse Brain Atlas for Automated Mapping and Quantification of Neuronal Activity Using iDISCO+ and Light Sheet Fluorescence Microscopy |
title_short | An Optimized Mouse Brain Atlas for Automated Mapping and Quantification of Neuronal Activity Using iDISCO+ and Light Sheet Fluorescence Microscopy |
title_sort | optimized mouse brain atlas for automated mapping and quantification of neuronal activity using idisco+ and light sheet fluorescence microscopy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233272/ https://www.ncbi.nlm.nih.gov/pubmed/33063286 http://dx.doi.org/10.1007/s12021-020-09490-8 |
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