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RNA-seq analysis of amygdala tissue reveals characteristic expression profiles in schizophrenia
The amygdala brain region has been implicated in the pathophysiology of schizophrenia through emotion processing. However, transcriptome messages in the amygdala of schizophrenia patients have not been well studied. We used RNA sequencing to investigate gene-expression profiling in the amygdala tiss...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611723/ https://www.ncbi.nlm.nih.gov/pubmed/28809853 http://dx.doi.org/10.1038/tp.2017.154 |
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author | Chang, X Liu, Y Hahn, C-G Gur, R E Sleiman, P M A Hakonarson, H |
author_facet | Chang, X Liu, Y Hahn, C-G Gur, R E Sleiman, P M A Hakonarson, H |
author_sort | Chang, X |
collection | PubMed |
description | The amygdala brain region has been implicated in the pathophysiology of schizophrenia through emotion processing. However, transcriptome messages in the amygdala of schizophrenia patients have not been well studied. We used RNA sequencing to investigate gene-expression profiling in the amygdala tissues, and identified 569 upregulated and 192 downregulated genes from 22 schizophrenia patients and 24 non-psychiatric controls. Gene functional enrichment analysis demonstrated that the downregulated genes were enriched in pathways such as 'synaptic transmission' and 'behavior', whereas the upregulated genes were significantly over-represented in gene ontology pathways such as 'immune response' and 'blood vessel development'. Co-expression-based gene network analysis identified seven modules including four modules significantly associated with 'synaptic transmission', 'blood vessel development' or 'immune responses'. Taken together, our study provides novel insights into the molecular mechanism of schizophrenia, suggesting that precision-tailored therapeutic approaches aimed at normalizing the expression/function of specific gene networks could be a promising option in schizophrenia. |
format | Online Article Text |
id | pubmed-5611723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56117232017-09-27 RNA-seq analysis of amygdala tissue reveals characteristic expression profiles in schizophrenia Chang, X Liu, Y Hahn, C-G Gur, R E Sleiman, P M A Hakonarson, H Transl Psychiatry Original Article The amygdala brain region has been implicated in the pathophysiology of schizophrenia through emotion processing. However, transcriptome messages in the amygdala of schizophrenia patients have not been well studied. We used RNA sequencing to investigate gene-expression profiling in the amygdala tissues, and identified 569 upregulated and 192 downregulated genes from 22 schizophrenia patients and 24 non-psychiatric controls. Gene functional enrichment analysis demonstrated that the downregulated genes were enriched in pathways such as 'synaptic transmission' and 'behavior', whereas the upregulated genes were significantly over-represented in gene ontology pathways such as 'immune response' and 'blood vessel development'. Co-expression-based gene network analysis identified seven modules including four modules significantly associated with 'synaptic transmission', 'blood vessel development' or 'immune responses'. Taken together, our study provides novel insights into the molecular mechanism of schizophrenia, suggesting that precision-tailored therapeutic approaches aimed at normalizing the expression/function of specific gene networks could be a promising option in schizophrenia. Nature Publishing Group 2017-08 2017-08-15 /pmc/articles/PMC5611723/ /pubmed/28809853 http://dx.doi.org/10.1038/tp.2017.154 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Article Chang, X Liu, Y Hahn, C-G Gur, R E Sleiman, P M A Hakonarson, H RNA-seq analysis of amygdala tissue reveals characteristic expression profiles in schizophrenia |
title | RNA-seq analysis of amygdala tissue reveals characteristic expression profiles in schizophrenia |
title_full | RNA-seq analysis of amygdala tissue reveals characteristic expression profiles in schizophrenia |
title_fullStr | RNA-seq analysis of amygdala tissue reveals characteristic expression profiles in schizophrenia |
title_full_unstemmed | RNA-seq analysis of amygdala tissue reveals characteristic expression profiles in schizophrenia |
title_short | RNA-seq analysis of amygdala tissue reveals characteristic expression profiles in schizophrenia |
title_sort | rna-seq analysis of amygdala tissue reveals characteristic expression profiles in schizophrenia |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611723/ https://www.ncbi.nlm.nih.gov/pubmed/28809853 http://dx.doi.org/10.1038/tp.2017.154 |
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