RETRACTED: Bioinformatics analysis based on crucial genes of endothelial cells in rheumatoid
Objectives: Synovial neovascularization is an early and remarkable event that promotes the development of rheumatoid arthritis (RA) synovial hyperplasia. This study aimed to find potential diagnostic markers and molecular therapeutic targets for RA at the mRNA molecular level.Method: We download the...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2023.1143644/full |
| _version_ | 1797261541810110464 |
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| author | Xing Zhou Xing Zhou Xing Zhou Xing Zhou Lidong Wu Lidong Wu Lidong Wu Lidong Wu |
| author_facet | Xing Zhou Xing Zhou Xing Zhou Xing Zhou Lidong Wu Lidong Wu Lidong Wu Lidong Wu |
| author_sort | Xing Zhou |
| collection | DOAJ |
| description | Objectives: Synovial neovascularization is an early and remarkable event that promotes the development of rheumatoid arthritis (RA) synovial hyperplasia. This study aimed to find potential diagnostic markers and molecular therapeutic targets for RA at the mRNA molecular level.Method: We download the expression profile dataset GSE46687 from the gene expression ontology (GEO) microarray, and used R software to screen out the differentially expressed genes between the normal group and the disease group. Then we performed functional enrichment analysis, used the STRING database to construct a protein-protein interaction (PPI) network, and identify candidate crucial genes, infiltration of the immune cells and targeted molecular drug.Results: Rheumatoid arthritis datasets included 113 differentially expressed genes (DEGs) including 104 upregulated and 9 downregulated DEGs. The enrichment analysis of genes shows that the differential genes are mainly enriched in condensed chromosomes, ribosomal subunits, and oxidative phosphorylation. Through PPI network analysis, seven crucial genes were identified: RPS13, RPL34, RPS29, RPL35, SEC61G, RPL39L, and RPL37A. Finally, we find the potential compound drug for RA.Conclusion: Through this method, the pathogenesis of RA endothelial cells was further explained. It provided new therapeutic targets, but the relationship between these genes and RA needs further research to be validated in the future. |
| first_indexed | 2024-03-08T03:45:25Z |
| format | Article |
| id | doaj.art-f7a75636641843d59c370b7a6febe152 |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-04-24T23:42:52Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-f7a75636641843d59c370b7a6febe1522024-03-15T11:16:06ZengFrontiers Media S.A.Frontiers in Genetics1664-80212023-04-011410.3389/fgene.2023.11436441143644RETRACTED: Bioinformatics analysis based on crucial genes of endothelial cells in rheumatoidXing Zhou0Xing Zhou1Xing Zhou2Xing Zhou3Lidong Wu4Lidong Wu5Lidong Wu6Lidong Wu7Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaOrthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, ChinaKey Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, ChinaClinical Research Center of Motor System Disease of Zhejiang Province, Hangzhou, ChinaDepartment of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaOrthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, ChinaKey Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, ChinaClinical Research Center of Motor System Disease of Zhejiang Province, Hangzhou, ChinaObjectives: Synovial neovascularization is an early and remarkable event that promotes the development of rheumatoid arthritis (RA) synovial hyperplasia. This study aimed to find potential diagnostic markers and molecular therapeutic targets for RA at the mRNA molecular level.Method: We download the expression profile dataset GSE46687 from the gene expression ontology (GEO) microarray, and used R software to screen out the differentially expressed genes between the normal group and the disease group. Then we performed functional enrichment analysis, used the STRING database to construct a protein-protein interaction (PPI) network, and identify candidate crucial genes, infiltration of the immune cells and targeted molecular drug.Results: Rheumatoid arthritis datasets included 113 differentially expressed genes (DEGs) including 104 upregulated and 9 downregulated DEGs. The enrichment analysis of genes shows that the differential genes are mainly enriched in condensed chromosomes, ribosomal subunits, and oxidative phosphorylation. Through PPI network analysis, seven crucial genes were identified: RPS13, RPL34, RPS29, RPL35, SEC61G, RPL39L, and RPL37A. Finally, we find the potential compound drug for RA.Conclusion: Through this method, the pathogenesis of RA endothelial cells was further explained. It provided new therapeutic targets, but the relationship between these genes and RA needs further research to be validated in the future.https://www.frontiersin.org/articles/10.3389/fgene.2023.1143644/fullbioinformaticsendothelial cellsgene expression Omnibusrheumatoid arthritisDEGs |
| spellingShingle | Xing Zhou Xing Zhou Xing Zhou Xing Zhou Lidong Wu Lidong Wu Lidong Wu Lidong Wu RETRACTED: Bioinformatics analysis based on crucial genes of endothelial cells in rheumatoid Frontiers in Genetics bioinformatics endothelial cells gene expression Omnibus rheumatoid arthritis DEGs |
| title | RETRACTED: Bioinformatics analysis based on crucial genes of endothelial cells in rheumatoid |
| title_full | RETRACTED: Bioinformatics analysis based on crucial genes of endothelial cells in rheumatoid |
| title_fullStr | RETRACTED: Bioinformatics analysis based on crucial genes of endothelial cells in rheumatoid |
| title_full_unstemmed | RETRACTED: Bioinformatics analysis based on crucial genes of endothelial cells in rheumatoid |
| title_short | RETRACTED: Bioinformatics analysis based on crucial genes of endothelial cells in rheumatoid |
| title_sort | retracted bioinformatics analysis based on crucial genes of endothelial cells in rheumatoid |
| topic | bioinformatics endothelial cells gene expression Omnibus rheumatoid arthritis DEGs |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2023.1143644/full |
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