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Bioinformatics analysis of common key genes and pathways of intracranial, abdominal, and thoracic aneurysms
BACKGROUND: Aneurysm is a severe and fatal disease. This study aims to comprehensively identify the highly conservative co-expression modules and hub genes in the abdominal aortic aneurysm (AAA), thoracic aortic aneurysm (TAA) and intracranial aneurysm (ICA) and facilitate the discovery of pathogene...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788746/ https://www.ncbi.nlm.nih.gov/pubmed/33407182 http://dx.doi.org/10.1186/s12872-020-01838-x |
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author | Bi, Siwei Liu, Ruiqi He, Linfeng Li, Jingyi Gu, Jun |
author_facet | Bi, Siwei Liu, Ruiqi He, Linfeng Li, Jingyi Gu, Jun |
author_sort | Bi, Siwei |
collection | PubMed |
description | BACKGROUND: Aneurysm is a severe and fatal disease. This study aims to comprehensively identify the highly conservative co-expression modules and hub genes in the abdominal aortic aneurysm (AAA), thoracic aortic aneurysm (TAA) and intracranial aneurysm (ICA) and facilitate the discovery of pathogenesis for aneurysm. METHODS: GSE57691, GSE122897, and GSE5180 microarray datasets were downloaded from the Gene Expression Omnibus database. We selected highly conservative modules using weighted gene co‑expression network analysis before performing the Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway and Reactome enrichment analysis. The protein–protein interaction (PPI) network and the miRNA-hub genes network were constructed. Furtherly, we validated the preservation of hub genes in three other datasets. RESULTS: Two modules with 193 genes and 159 genes were identified as well preserved in AAA, TAA, and ICA. The enrichment analysis identified that these genes were involved in several biological processes such as positive regulation of cytosolic calcium ion concentration, hemostasis, and regulation of secretion by cells. Ten highly connected PPI networks were constructed, and 55 hub genes were identified. In the miRNA-hub genes network, CCR7 was the most connected gene, followed by TNF and CXCR4. The most connected miRNAs were hsa-mir-26b-5p and hsa-mir-335-5p. The hub gene module was proved to be preserved in all three datasets. CONCLUSIONS: Our study highlighted and validated two highly conservative co-expression modules and miRNA-hub genes network in three kinds of aneurysms, which may promote understanding of the aneurysm and provide potential therapeutic targets and biomarkers of aneurysm. |
format | Online Article Text |
id | pubmed-7788746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77887462021-01-07 Bioinformatics analysis of common key genes and pathways of intracranial, abdominal, and thoracic aneurysms Bi, Siwei Liu, Ruiqi He, Linfeng Li, Jingyi Gu, Jun BMC Cardiovasc Disord Research Article BACKGROUND: Aneurysm is a severe and fatal disease. This study aims to comprehensively identify the highly conservative co-expression modules and hub genes in the abdominal aortic aneurysm (AAA), thoracic aortic aneurysm (TAA) and intracranial aneurysm (ICA) and facilitate the discovery of pathogenesis for aneurysm. METHODS: GSE57691, GSE122897, and GSE5180 microarray datasets were downloaded from the Gene Expression Omnibus database. We selected highly conservative modules using weighted gene co‑expression network analysis before performing the Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway and Reactome enrichment analysis. The protein–protein interaction (PPI) network and the miRNA-hub genes network were constructed. Furtherly, we validated the preservation of hub genes in three other datasets. RESULTS: Two modules with 193 genes and 159 genes were identified as well preserved in AAA, TAA, and ICA. The enrichment analysis identified that these genes were involved in several biological processes such as positive regulation of cytosolic calcium ion concentration, hemostasis, and regulation of secretion by cells. Ten highly connected PPI networks were constructed, and 55 hub genes were identified. In the miRNA-hub genes network, CCR7 was the most connected gene, followed by TNF and CXCR4. The most connected miRNAs were hsa-mir-26b-5p and hsa-mir-335-5p. The hub gene module was proved to be preserved in all three datasets. CONCLUSIONS: Our study highlighted and validated two highly conservative co-expression modules and miRNA-hub genes network in three kinds of aneurysms, which may promote understanding of the aneurysm and provide potential therapeutic targets and biomarkers of aneurysm. BioMed Central 2021-01-06 /pmc/articles/PMC7788746/ /pubmed/33407182 http://dx.doi.org/10.1186/s12872-020-01838-x Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Bi, Siwei Liu, Ruiqi He, Linfeng Li, Jingyi Gu, Jun Bioinformatics analysis of common key genes and pathways of intracranial, abdominal, and thoracic aneurysms |
title | Bioinformatics analysis of common key genes and pathways of intracranial, abdominal, and thoracic aneurysms |
title_full | Bioinformatics analysis of common key genes and pathways of intracranial, abdominal, and thoracic aneurysms |
title_fullStr | Bioinformatics analysis of common key genes and pathways of intracranial, abdominal, and thoracic aneurysms |
title_full_unstemmed | Bioinformatics analysis of common key genes and pathways of intracranial, abdominal, and thoracic aneurysms |
title_short | Bioinformatics analysis of common key genes and pathways of intracranial, abdominal, and thoracic aneurysms |
title_sort | bioinformatics analysis of common key genes and pathways of intracranial, abdominal, and thoracic aneurysms |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788746/ https://www.ncbi.nlm.nih.gov/pubmed/33407182 http://dx.doi.org/10.1186/s12872-020-01838-x |
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