Co-expression network analysis identifies possible hub genes in aging of the human prefrontal cortex
Introduction: Aging is the main risk factor for the development of chronic diseases such as cancer, diabetes, Parkinson’s disease, and Alzheimer’s disease. The central nervous system is particularly susceptible to progressive functional deterioration associated with age, among the brain regions the...
- Autores:
-
Payán-Gómez C.
Riaño Moreno, Julian Camilo
Amador-Muñoz D.
Ramírez-Clavijo S.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- Universidad Cooperativa de Colombia
- Repositorio:
- Repositorio UCC
- Idioma:
- OAI Identifier:
- oai:repository.ucc.edu.co:20.500.12494/41852
- Palabra clave:
- Aging
Gene coexpression networks
Hub genes
Prefrontal cortex
Transcriptomics
WGCNA
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb
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Payán-Gómez C.Riaño Moreno, Julian CamiloAmador-Muñoz D.Ramírez-Clavijo S.2021-12-16T22:15:50Z2021-12-16T22:15:50Z2019https://doi.org/10.17081/psico.18.33.6516927273https://hdl.handle.net/20.500.12494/41852Payán C,Riaño J,Amador D,Ramírez S. Co-expression network analysis identifies possible hub genes in aging of the human prefrontal cortex. Rev. Cienc. Salud. 2019. 17. (2):p. 202-222. .Introduction: Aging is the main risk factor for the development of chronic diseases such as cancer, diabetes, Parkinson’s disease, and Alzheimer’s disease. The central nervous system is particularly susceptible to progressive functional deterioration associated with age, among the brain regions the prefrontal cortex (PFC) has one of the highest involvements. Transcriptomics studies of this brain region have identified the decrease in synaptic function and activation of neuroglia cells as fundamental characteristics of the aging process. The aim of this study was to identify hub genes in the transcriptomic deregulation in the PFC aging to advance in the knowledge of this process. Materials and methods: A gene co-expression analysis was carried out for 45 people 60 to 80 years old compared with 38 people 20 to 40 years old. The networks were visualized and analyzed using Cytoscape; citoHubba was used to determine which genes had the best topological characteristics in the co-expression networks. Results: Five genes with high topological characteristics were identified. Four of them —HPCA, CACNG3, CA10, PLPPR4— were repressed and one was over-expressed —CRYAB—. Conclusion: The four repressed genes are expressed preferentially in neurons and regulate the synaptic function and the neuronal plasticity, while the overexpressed gene is typical of glial cells and is expressed as a response to neuronal damage, facilitating myelination and neuronal regeneration. © 2019, Universidad del Rosario. All rights reserved.222-202Universidad del RosarioAgingGene coexpression networksHub genesPrefrontal cortexTranscriptomicsWGCNACo-expression network analysis identifies possible hub genes in aging of the human prefrontal cortexArtículohttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionRevista Ciencias de la Saludinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbPublication20.500.12494/41852oai:repository.ucc.edu.co:20.500.12494/418522024-08-20 16:19:09.403metadata.onlyhttps://repository.ucc.edu.coRepositorio Institucional Universidad Cooperativa de Colombiabdigital@metabiblioteca.com |
dc.title.spa.fl_str_mv |
Co-expression network analysis identifies possible hub genes in aging of the human prefrontal cortex |
title |
Co-expression network analysis identifies possible hub genes in aging of the human prefrontal cortex |
spellingShingle |
Co-expression network analysis identifies possible hub genes in aging of the human prefrontal cortex Aging Gene coexpression networks Hub genes Prefrontal cortex Transcriptomics WGCNA |
title_short |
Co-expression network analysis identifies possible hub genes in aging of the human prefrontal cortex |
title_full |
Co-expression network analysis identifies possible hub genes in aging of the human prefrontal cortex |
title_fullStr |
Co-expression network analysis identifies possible hub genes in aging of the human prefrontal cortex |
title_full_unstemmed |
Co-expression network analysis identifies possible hub genes in aging of the human prefrontal cortex |
title_sort |
Co-expression network analysis identifies possible hub genes in aging of the human prefrontal cortex |
dc.creator.fl_str_mv |
Payán-Gómez C. Riaño Moreno, Julian Camilo Amador-Muñoz D. Ramírez-Clavijo S. |
dc.contributor.author.none.fl_str_mv |
Payán-Gómez C. Riaño Moreno, Julian Camilo Amador-Muñoz D. Ramírez-Clavijo S. |
dc.subject.spa.fl_str_mv |
Aging Gene coexpression networks Hub genes Prefrontal cortex Transcriptomics WGCNA |
topic |
Aging Gene coexpression networks Hub genes Prefrontal cortex Transcriptomics WGCNA |
description |
Introduction: Aging is the main risk factor for the development of chronic diseases such as cancer, diabetes, Parkinson’s disease, and Alzheimer’s disease. The central nervous system is particularly susceptible to progressive functional deterioration associated with age, among the brain regions the prefrontal cortex (PFC) has one of the highest involvements. Transcriptomics studies of this brain region have identified the decrease in synaptic function and activation of neuroglia cells as fundamental characteristics of the aging process. The aim of this study was to identify hub genes in the transcriptomic deregulation in the PFC aging to advance in the knowledge of this process. Materials and methods: A gene co-expression analysis was carried out for 45 people 60 to 80 years old compared with 38 people 20 to 40 years old. The networks were visualized and analyzed using Cytoscape; citoHubba was used to determine which genes had the best topological characteristics in the co-expression networks. Results: Five genes with high topological characteristics were identified. Four of them —HPCA, CACNG3, CA10, PLPPR4— were repressed and one was over-expressed —CRYAB—. Conclusion: The four repressed genes are expressed preferentially in neurons and regulate the synaptic function and the neuronal plasticity, while the overexpressed gene is typical of glial cells and is expressed as a response to neuronal damage, facilitating myelination and neuronal regeneration. © 2019, Universidad del Rosario. All rights reserved. |
publishDate |
2019 |
dc.date.issued.none.fl_str_mv |
2019 |
dc.date.accessioned.none.fl_str_mv |
2021-12-16T22:15:50Z |
dc.date.available.none.fl_str_mv |
2021-12-16T22:15:50Z |
dc.type.none.fl_str_mv |
Artículo |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.coarversion.none.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.redcol.none.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://doi.org/10.17081/psico.18.33.65 |
dc.identifier.issn.spa.fl_str_mv |
16927273 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12494/41852 |
dc.identifier.bibliographicCitation.spa.fl_str_mv |
Payán C,Riaño J,Amador D,Ramírez S. Co-expression network analysis identifies possible hub genes in aging of the human prefrontal cortex. Rev. Cienc. Salud. 2019. 17. (2):p. 202-222. . |
url |
https://doi.org/10.17081/psico.18.33.65 https://hdl.handle.net/20.500.12494/41852 |
identifier_str_mv |
16927273 Payán C,Riaño J,Amador D,Ramírez S. Co-expression network analysis identifies possible hub genes in aging of the human prefrontal cortex. Rev. Cienc. Salud. 2019. 17. (2):p. 202-222. . |
dc.relation.ispartofjournal.spa.fl_str_mv |
Revista Ciencias de la Salud |
dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/closedAccess |
dc.rights.coar.none.fl_str_mv |
http://purl.org/coar/access_right/c_14cb |
eu_rights_str_mv |
closedAccess |
rights_invalid_str_mv |
http://purl.org/coar/access_right/c_14cb |
dc.format.extent.spa.fl_str_mv |
222-202 |
dc.publisher.spa.fl_str_mv |
Universidad del Rosario |
institution |
Universidad Cooperativa de Colombia |
repository.name.fl_str_mv |
Repositorio Institucional Universidad Cooperativa de Colombia |
repository.mail.fl_str_mv |
bdigital@metabiblioteca.com |
_version_ |
1814246932042743808 |