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A platform for stereological quantitative analysis of the brain-wide distribution of type-specific neurons
Quantifying the distribution of specific neurons throughout the whole brain is crucial for understanding physiological actions, pathological alterations and pharmacological treatments. However, the precise cell number and density of specific neurons in the entire brain remain unknown because of a la...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5662727/ https://www.ncbi.nlm.nih.gov/pubmed/29085023 http://dx.doi.org/10.1038/s41598-017-14699-w |
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author | Zhang, Chen Yan, Cheng Ren, Miao Li, Anan Quan, Tingwei Gong, Hui Yuan, Jing |
author_facet | Zhang, Chen Yan, Cheng Ren, Miao Li, Anan Quan, Tingwei Gong, Hui Yuan, Jing |
author_sort | Zhang, Chen |
collection | PubMed |
description | Quantifying the distribution of specific neurons throughout the whole brain is crucial for understanding physiological actions, pathological alterations and pharmacological treatments. However, the precise cell number and density of specific neurons in the entire brain remain unknown because of a lack of suitable research tools. Here, we propose a pipeline to automatically acquire and analyse the brain-wide distribution of type-specific neurons in a mouse brain. We employed a Brain-wide Positioning System to collect high-throughput anatomical information with the co-localized cytoarchitecture of the whole brain at subcellular resolution and utilized the NeuroGPS algorithm to locate and count cells in the whole brain. We evaluated the data continuity of the 3D dataset and the accuracy of stereological cell counting in 3D. To apply this pipeline, we acquired and quantified the brain-wide distributions and somatic morphology of somatostatin-expressing neurons in transgenic mouse brains. The results indicated that this whole-brain cell counting pipeline has the potential to become a routine tool for cell type neuroscience studies. |
format | Online Article Text |
id | pubmed-5662727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56627272017-11-08 A platform for stereological quantitative analysis of the brain-wide distribution of type-specific neurons Zhang, Chen Yan, Cheng Ren, Miao Li, Anan Quan, Tingwei Gong, Hui Yuan, Jing Sci Rep Article Quantifying the distribution of specific neurons throughout the whole brain is crucial for understanding physiological actions, pathological alterations and pharmacological treatments. However, the precise cell number and density of specific neurons in the entire brain remain unknown because of a lack of suitable research tools. Here, we propose a pipeline to automatically acquire and analyse the brain-wide distribution of type-specific neurons in a mouse brain. We employed a Brain-wide Positioning System to collect high-throughput anatomical information with the co-localized cytoarchitecture of the whole brain at subcellular resolution and utilized the NeuroGPS algorithm to locate and count cells in the whole brain. We evaluated the data continuity of the 3D dataset and the accuracy of stereological cell counting in 3D. To apply this pipeline, we acquired and quantified the brain-wide distributions and somatic morphology of somatostatin-expressing neurons in transgenic mouse brains. The results indicated that this whole-brain cell counting pipeline has the potential to become a routine tool for cell type neuroscience studies. Nature Publishing Group UK 2017-10-30 /pmc/articles/PMC5662727/ /pubmed/29085023 http://dx.doi.org/10.1038/s41598-017-14699-w Text en © The Author(s) 2017 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 Zhang, Chen Yan, Cheng Ren, Miao Li, Anan Quan, Tingwei Gong, Hui Yuan, Jing A platform for stereological quantitative analysis of the brain-wide distribution of type-specific neurons |
title | A platform for stereological quantitative analysis of the brain-wide distribution of type-specific neurons |
title_full | A platform for stereological quantitative analysis of the brain-wide distribution of type-specific neurons |
title_fullStr | A platform for stereological quantitative analysis of the brain-wide distribution of type-specific neurons |
title_full_unstemmed | A platform for stereological quantitative analysis of the brain-wide distribution of type-specific neurons |
title_short | A platform for stereological quantitative analysis of the brain-wide distribution of type-specific neurons |
title_sort | platform for stereological quantitative analysis of the brain-wide distribution of type-specific neurons |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5662727/ https://www.ncbi.nlm.nih.gov/pubmed/29085023 http://dx.doi.org/10.1038/s41598-017-14699-w |
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