Cargando…

Screening and identification of critical biomarkers in erectile dysfunction: evidence from bioinformatic analysis

PURPOSE: Erectile dysfunction (ED) is one of the most common male-disease globally. Despite efforts to explain its pathogenesis, the molecular mechanisms of ED are still not well understood. METHODS: The microarray dataset GSE10804 was downloaded from the Gene Expression Omnibus (GEO) to find candid...

Descripción completa

Detalles Bibliográficos
Autores principales: Hui, Jialiang, Liu, Ruiyu, Zhang, Haibo, He, Shuhua, Wei, Anyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050549/
https://www.ncbi.nlm.nih.gov/pubmed/32161689
http://dx.doi.org/10.7717/peerj.8653
_version_ 1783502631149240320
author Hui, Jialiang
Liu, Ruiyu
Zhang, Haibo
He, Shuhua
Wei, Anyang
author_facet Hui, Jialiang
Liu, Ruiyu
Zhang, Haibo
He, Shuhua
Wei, Anyang
author_sort Hui, Jialiang
collection PubMed
description PURPOSE: Erectile dysfunction (ED) is one of the most common male-disease globally. Despite efforts to explain its pathogenesis, the molecular mechanisms of ED are still not well understood. METHODS: The microarray dataset GSE10804 was downloaded from the Gene Expression Omnibus (GEO) to find candidate genes in ED progression. After differentially expressed genes (DEGs) were identified, functional enrichment analysis was performed. In addition, a protein-protein interaction network (PPI) was established and module analysis was performed through the STRING and Cytoscape. RESULTS AND CONCLUSIONS: A total of 618 DEGs were identified in all, containing 430 downregulated genes and 188 upregulated genes. The enriched functions and pathways of the DEGs include transcription from RNA polymerase II promoter, cell adhesion, calcium ion binding, receptor binding, Akt signaling pathway, receptor interaction, protein digestion, and absorption. We picked out twenty-five hub genes, with biological process (BP) analyses revealing that the genes were principally associated with cellular responses to amino acid stimuli, extracellular matrix structural constituent, collagen trimer, protein digestion and absorption, ECM-receptor interaction and PI3K-Akt signaling pathway. To sum up, DEGs and hub genes distinguished in this study not only help us understand the molecular mechanisms behind the carcinogenesis and progression of ED, but also play a part in the diagnosis and treatment of ED by providing candidate targets.
format Online
Article
Text
id pubmed-7050549
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher PeerJ Inc.
record_format MEDLINE/PubMed
spelling pubmed-70505492020-03-11 Screening and identification of critical biomarkers in erectile dysfunction: evidence from bioinformatic analysis Hui, Jialiang Liu, Ruiyu Zhang, Haibo He, Shuhua Wei, Anyang PeerJ Bioinformatics PURPOSE: Erectile dysfunction (ED) is one of the most common male-disease globally. Despite efforts to explain its pathogenesis, the molecular mechanisms of ED are still not well understood. METHODS: The microarray dataset GSE10804 was downloaded from the Gene Expression Omnibus (GEO) to find candidate genes in ED progression. After differentially expressed genes (DEGs) were identified, functional enrichment analysis was performed. In addition, a protein-protein interaction network (PPI) was established and module analysis was performed through the STRING and Cytoscape. RESULTS AND CONCLUSIONS: A total of 618 DEGs were identified in all, containing 430 downregulated genes and 188 upregulated genes. The enriched functions and pathways of the DEGs include transcription from RNA polymerase II promoter, cell adhesion, calcium ion binding, receptor binding, Akt signaling pathway, receptor interaction, protein digestion, and absorption. We picked out twenty-five hub genes, with biological process (BP) analyses revealing that the genes were principally associated with cellular responses to amino acid stimuli, extracellular matrix structural constituent, collagen trimer, protein digestion and absorption, ECM-receptor interaction and PI3K-Akt signaling pathway. To sum up, DEGs and hub genes distinguished in this study not only help us understand the molecular mechanisms behind the carcinogenesis and progression of ED, but also play a part in the diagnosis and treatment of ED by providing candidate targets. PeerJ Inc. 2020-02-28 /pmc/articles/PMC7050549/ /pubmed/32161689 http://dx.doi.org/10.7717/peerj.8653 Text en ©2020 Hui et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Hui, Jialiang
Liu, Ruiyu
Zhang, Haibo
He, Shuhua
Wei, Anyang
Screening and identification of critical biomarkers in erectile dysfunction: evidence from bioinformatic analysis
title Screening and identification of critical biomarkers in erectile dysfunction: evidence from bioinformatic analysis
title_full Screening and identification of critical biomarkers in erectile dysfunction: evidence from bioinformatic analysis
title_fullStr Screening and identification of critical biomarkers in erectile dysfunction: evidence from bioinformatic analysis
title_full_unstemmed Screening and identification of critical biomarkers in erectile dysfunction: evidence from bioinformatic analysis
title_short Screening and identification of critical biomarkers in erectile dysfunction: evidence from bioinformatic analysis
title_sort screening and identification of critical biomarkers in erectile dysfunction: evidence from bioinformatic analysis
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050549/
https://www.ncbi.nlm.nih.gov/pubmed/32161689
http://dx.doi.org/10.7717/peerj.8653
work_keys_str_mv AT huijialiang screeningandidentificationofcriticalbiomarkersinerectiledysfunctionevidencefrombioinformaticanalysis
AT liuruiyu screeningandidentificationofcriticalbiomarkersinerectiledysfunctionevidencefrombioinformaticanalysis
AT zhanghaibo screeningandidentificationofcriticalbiomarkersinerectiledysfunctionevidencefrombioinformaticanalysis
AT heshuhua screeningandidentificationofcriticalbiomarkersinerectiledysfunctionevidencefrombioinformaticanalysis
AT weianyang screeningandidentificationofcriticalbiomarkersinerectiledysfunctionevidencefrombioinformaticanalysis