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Rapid Golgi Analysis Method for Efficient and Unbiased Classification of Dendritic Spines
Dendritic spines are the primary recipients of excitatory synaptic input in the brain. Spine morphology provides important information on the functional state of ongoing synaptic transmission. One of the most commonly used methods to visualize spines is Golgi-Cox staining, which is appealing both du...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4160288/ https://www.ncbi.nlm.nih.gov/pubmed/25208214 http://dx.doi.org/10.1371/journal.pone.0107591 |
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author | Risher, W. Christopher Ustunkaya, Tuna Singh Alvarado, Jonnathan Eroglu, Cagla |
author_facet | Risher, W. Christopher Ustunkaya, Tuna Singh Alvarado, Jonnathan Eroglu, Cagla |
author_sort | Risher, W. Christopher |
collection | PubMed |
description | Dendritic spines are the primary recipients of excitatory synaptic input in the brain. Spine morphology provides important information on the functional state of ongoing synaptic transmission. One of the most commonly used methods to visualize spines is Golgi-Cox staining, which is appealing both due to ease of sample preparation and wide applicability to multiple species including humans. However, the classification of spines is a time-consuming and often expensive task that yields widely varying results between individuals. Here, we present a novel approach to this analysis technique that uses the unique geometry of different spine shapes to categorize spines on a purely objective basis. This rapid Golgi spine analysis method successfully conveyed the maturational shift in spine types during development in the mouse primary visual cortex. This approach, built upon freely available software, can be utilized by researchers studying a broad range of synaptic connectivity phenotypes in both development and disease. |
format | Online Article Text |
id | pubmed-4160288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41602882014-09-12 Rapid Golgi Analysis Method for Efficient and Unbiased Classification of Dendritic Spines Risher, W. Christopher Ustunkaya, Tuna Singh Alvarado, Jonnathan Eroglu, Cagla PLoS One Research Article Dendritic spines are the primary recipients of excitatory synaptic input in the brain. Spine morphology provides important information on the functional state of ongoing synaptic transmission. One of the most commonly used methods to visualize spines is Golgi-Cox staining, which is appealing both due to ease of sample preparation and wide applicability to multiple species including humans. However, the classification of spines is a time-consuming and often expensive task that yields widely varying results between individuals. Here, we present a novel approach to this analysis technique that uses the unique geometry of different spine shapes to categorize spines on a purely objective basis. This rapid Golgi spine analysis method successfully conveyed the maturational shift in spine types during development in the mouse primary visual cortex. This approach, built upon freely available software, can be utilized by researchers studying a broad range of synaptic connectivity phenotypes in both development and disease. Public Library of Science 2014-09-10 /pmc/articles/PMC4160288/ /pubmed/25208214 http://dx.doi.org/10.1371/journal.pone.0107591 Text en © 2014 Risher et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Risher, W. Christopher Ustunkaya, Tuna Singh Alvarado, Jonnathan Eroglu, Cagla Rapid Golgi Analysis Method for Efficient and Unbiased Classification of Dendritic Spines |
title | Rapid Golgi Analysis Method for Efficient and Unbiased Classification of Dendritic Spines |
title_full | Rapid Golgi Analysis Method for Efficient and Unbiased Classification of Dendritic Spines |
title_fullStr | Rapid Golgi Analysis Method for Efficient and Unbiased Classification of Dendritic Spines |
title_full_unstemmed | Rapid Golgi Analysis Method for Efficient and Unbiased Classification of Dendritic Spines |
title_short | Rapid Golgi Analysis Method for Efficient and Unbiased Classification of Dendritic Spines |
title_sort | rapid golgi analysis method for efficient and unbiased classification of dendritic spines |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4160288/ https://www.ncbi.nlm.nih.gov/pubmed/25208214 http://dx.doi.org/10.1371/journal.pone.0107591 |
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