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...

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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
Acceso en línea:
https://doi.org/10.17081/psico.18.33.65
https://hdl.handle.net/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
id COOPER2_8ac576e4fc21de71282208208243605a
oai_identifier_str oai:repository.ucc.edu.co:20.500.12494/41852
network_acronym_str COOPER2
network_name_str Repositorio UCC
repository_id_str
spelling 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
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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
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