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Systematic analysis of expression signatures of neuronal subpopulations in the VTA
Gene expression profiling across various brain areas at the single-cell resolution enables the identification of molecular markers of neuronal subpopulations and comprehensive characterization of their functional roles. Despite the scientific importance and experimental versatility, systematic metho...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907252/ https://www.ncbi.nlm.nih.gov/pubmed/31829254 http://dx.doi.org/10.1186/s13041-019-0530-8 |
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author | Kim, Hyun Jin Kim, Minhyung Kang, Byeongsoo Yun, Soyeon Ryeo, Shin Eun Hwang, Daehee Kim, Joung-Hun |
author_facet | Kim, Hyun Jin Kim, Minhyung Kang, Byeongsoo Yun, Soyeon Ryeo, Shin Eun Hwang, Daehee Kim, Joung-Hun |
author_sort | Kim, Hyun Jin |
collection | PubMed |
description | Gene expression profiling across various brain areas at the single-cell resolution enables the identification of molecular markers of neuronal subpopulations and comprehensive characterization of their functional roles. Despite the scientific importance and experimental versatility, systematic methods to analyze such data have not been established yet. To this end, we developed a statistical approach based on in situ hybridization data in the Allen Brain Atlas and thereby identified specific genes for each type of neuron in the ventral tegmental area (VTA). This approach also allowed us to demarcate subregions within the VTA comprising specific neuronal subpopulations. We further identified WW domain-containing oxidoreductase as a molecular marker of a population of VTA neurons that co-express tyrosine hydroxylase and vesicular glutamate transporter 2, and confirmed their region-specific distribution by immunohistochemistry. The results demonstrate the utility of our analytical approach for uncovering expression signatures representing specific cell types and neuronal subpopulations enriched in a given brain area. |
format | Online Article Text |
id | pubmed-6907252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69072522019-12-20 Systematic analysis of expression signatures of neuronal subpopulations in the VTA Kim, Hyun Jin Kim, Minhyung Kang, Byeongsoo Yun, Soyeon Ryeo, Shin Eun Hwang, Daehee Kim, Joung-Hun Mol Brain Research Gene expression profiling across various brain areas at the single-cell resolution enables the identification of molecular markers of neuronal subpopulations and comprehensive characterization of their functional roles. Despite the scientific importance and experimental versatility, systematic methods to analyze such data have not been established yet. To this end, we developed a statistical approach based on in situ hybridization data in the Allen Brain Atlas and thereby identified specific genes for each type of neuron in the ventral tegmental area (VTA). This approach also allowed us to demarcate subregions within the VTA comprising specific neuronal subpopulations. We further identified WW domain-containing oxidoreductase as a molecular marker of a population of VTA neurons that co-express tyrosine hydroxylase and vesicular glutamate transporter 2, and confirmed their region-specific distribution by immunohistochemistry. The results demonstrate the utility of our analytical approach for uncovering expression signatures representing specific cell types and neuronal subpopulations enriched in a given brain area. BioMed Central 2019-12-11 /pmc/articles/PMC6907252/ /pubmed/31829254 http://dx.doi.org/10.1186/s13041-019-0530-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Kim, Hyun Jin Kim, Minhyung Kang, Byeongsoo Yun, Soyeon Ryeo, Shin Eun Hwang, Daehee Kim, Joung-Hun Systematic analysis of expression signatures of neuronal subpopulations in the VTA |
title | Systematic analysis of expression signatures of neuronal subpopulations in the VTA |
title_full | Systematic analysis of expression signatures of neuronal subpopulations in the VTA |
title_fullStr | Systematic analysis of expression signatures of neuronal subpopulations in the VTA |
title_full_unstemmed | Systematic analysis of expression signatures of neuronal subpopulations in the VTA |
title_short | Systematic analysis of expression signatures of neuronal subpopulations in the VTA |
title_sort | systematic analysis of expression signatures of neuronal subpopulations in the vta |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907252/ https://www.ncbi.nlm.nih.gov/pubmed/31829254 http://dx.doi.org/10.1186/s13041-019-0530-8 |
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