Identification of Signal Pathways and Hub Genes of Pulmonary Arterial Hypertension by Bioinformatic Analysis
Pulmonary arterial hypertension (PAH) is a progressive and complex pulmonary vascular disease with poor prognosis. The aim of this study was to provide a new understanding of the pathogenesis of disease and potential treatment targets for patients with PAH based on multiple-microarray analysis.Two m...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Canadian Respiratory Journal |
| Online Access: | http://dx.doi.org/10.1155/2022/1394088 |
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| author | Rui-Qi Wei Wen-Mei Zhang Zhe Liang Chunmei Piao Guangfa Zhu |
| author_facet | Rui-Qi Wei Wen-Mei Zhang Zhe Liang Chunmei Piao Guangfa Zhu |
| author_sort | Rui-Qi Wei |
| collection | DOAJ |
| description | Pulmonary arterial hypertension (PAH) is a progressive and complex pulmonary vascular disease with poor prognosis. The aim of this study was to provide a new understanding of the pathogenesis of disease and potential treatment targets for patients with PAH based on multiple-microarray analysis.Two microarray datasets (GSE53408 and GSE113439) downloaded from the Gene Expression Omnibus (GEO) database were analysed. All the raw data were processed by R, and differentially expressed genes (DEGs) were screened out by the “limma” package. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed and visualized by R and Cytoscape software. Protein-protein interactions (PPI) of DEGs were analysed based on the NetworkAnalyst online tool. A total of 442 upregulated DEGs and 84 downregulated DEGs were identified. GO enrichment analysis showed that these DEGs were mainly enriched in mitotic nuclear division, organelle fission, chromosome segregation, nuclear division, and sister chromatid segregation. Significant KEGG pathway enrichment included ribosome biogenesis in eukaryotes, RNA transport, proteoglycans in cancer, dilated cardiomyopathy, rheumatoid arthritis, vascular smooth muscle contraction, focal adhesion, regulation of the actin cytoskeleton, and hypertrophic cardiomyopathy. The PPI network identified 10 hub genes including HSP90AA1, CDC5L, MDM2, LRRK2, CFTR, IQGAP1, CAND1, TOP2A, DDX21, and HIF1A. We elucidated potential biomarkers and therapeutic targets for PAH by bioinformatic analysis, which provides a theoretical basis for future study. |
| format | Article |
| id | doaj-art-a8fe436a9fe34e258a07ca537f0a6702 |
| institution | Kabale University |
| issn | 1916-7245 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Canadian Respiratory Journal |
| spelling | doaj-art-a8fe436a9fe34e258a07ca537f0a67022025-02-03T01:24:10ZengWileyCanadian Respiratory Journal1916-72452022-01-01202210.1155/2022/1394088Identification of Signal Pathways and Hub Genes of Pulmonary Arterial Hypertension by Bioinformatic AnalysisRui-Qi Wei0Wen-Mei Zhang1Zhe Liang2Chunmei Piao3Guangfa Zhu4Department of Pulmonary and Critical Care MedicineDepartment of Pulmonary and Critical Care MedicineDepartment of CardiologyBeijing Anzhen Hospital Affiliated to the Capital Medical UniversityDepartment of Pulmonary and Critical Care MedicinePulmonary arterial hypertension (PAH) is a progressive and complex pulmonary vascular disease with poor prognosis. The aim of this study was to provide a new understanding of the pathogenesis of disease and potential treatment targets for patients with PAH based on multiple-microarray analysis.Two microarray datasets (GSE53408 and GSE113439) downloaded from the Gene Expression Omnibus (GEO) database were analysed. All the raw data were processed by R, and differentially expressed genes (DEGs) were screened out by the “limma” package. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed and visualized by R and Cytoscape software. Protein-protein interactions (PPI) of DEGs were analysed based on the NetworkAnalyst online tool. A total of 442 upregulated DEGs and 84 downregulated DEGs were identified. GO enrichment analysis showed that these DEGs were mainly enriched in mitotic nuclear division, organelle fission, chromosome segregation, nuclear division, and sister chromatid segregation. Significant KEGG pathway enrichment included ribosome biogenesis in eukaryotes, RNA transport, proteoglycans in cancer, dilated cardiomyopathy, rheumatoid arthritis, vascular smooth muscle contraction, focal adhesion, regulation of the actin cytoskeleton, and hypertrophic cardiomyopathy. The PPI network identified 10 hub genes including HSP90AA1, CDC5L, MDM2, LRRK2, CFTR, IQGAP1, CAND1, TOP2A, DDX21, and HIF1A. We elucidated potential biomarkers and therapeutic targets for PAH by bioinformatic analysis, which provides a theoretical basis for future study.http://dx.doi.org/10.1155/2022/1394088 |
| spellingShingle | Rui-Qi Wei Wen-Mei Zhang Zhe Liang Chunmei Piao Guangfa Zhu Identification of Signal Pathways and Hub Genes of Pulmonary Arterial Hypertension by Bioinformatic Analysis Canadian Respiratory Journal |
| title | Identification of Signal Pathways and Hub Genes of Pulmonary Arterial Hypertension by Bioinformatic Analysis |
| title_full | Identification of Signal Pathways and Hub Genes of Pulmonary Arterial Hypertension by Bioinformatic Analysis |
| title_fullStr | Identification of Signal Pathways and Hub Genes of Pulmonary Arterial Hypertension by Bioinformatic Analysis |
| title_full_unstemmed | Identification of Signal Pathways and Hub Genes of Pulmonary Arterial Hypertension by Bioinformatic Analysis |
| title_short | Identification of Signal Pathways and Hub Genes of Pulmonary Arterial Hypertension by Bioinformatic Analysis |
| title_sort | identification of signal pathways and hub genes of pulmonary arterial hypertension by bioinformatic analysis |
| url | http://dx.doi.org/10.1155/2022/1394088 |
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