Gene Expression Microarray Data Identify Hub Genes Involved in Osteoarthritis Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.3389/fgene.2022.870590
The present study was performed to explore the underlying molecular mechanisms and screen hub genes of osteoarthritis (OA) via bioinformatics analysis. In total, twenty-five OA synovial tissue samples and 25 normal synovial tissue samples were derived from three datasets, namely, GSE55457, GSE55235, and GSE1919, and were used to identify the differentially expressed genes (DEGs) of OA by R language. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of DEGs were conducted using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). A Venn diagram was built to show the potential hub genes identified in all three datasets. The STRING database was used for constructing the protein–protein interaction (PPI) networks and submodules of DEGs. We identified 507 upregulated and 620 downregulated genes. Upregulated DEGs were significantly involved in immune response, MHC class II receptor activity, and presented in the extracellular region, while downregulated DEGs were mainly enriched in response to organic substances, extracellular region parts, and cadmium ion binding. Results of KEGG analysis indicated that the upregulated DEGs mainly existed in cell adhesion molecules (CAMs), while downregulated DEGs were significantly involved in the MAPK signaling pathway. A total of eighteen intersection genes were identified across the three datasets. These include Nell-1, ATF3, RhoB, STC1, and VEGFA. In addition, 10 hub genes including CXCL12, CXCL8, CCL20, and CCL4 were found in the PPI network and module construction. Identification of DEGs and hub genes associated with OA may be helpful for revealing the molecular mechanisms of OA and further promotes the development of relevant biomarkers and drug targets.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fgene.2022.870590
- https://www.frontiersin.org/articles/10.3389/fgene.2022.870590/pdf
- OA Status
- gold
- Cited By
- 7
- References
- 45
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4281735915Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fgene.2022.870590Digital Object Identifier
- Title
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Gene Expression Microarray Data Identify Hub Genes Involved in OsteoarthritisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-06-06Full publication date if available
- Authors
-
Jian Zhou, Dazhi Zou, Rongjun Wan, Jie Liu, Qiong Zhou, Zhen Zhou, Wanchun Wang, Tao Cheng, Tang LiuList of authors in order
- Landing page
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https://doi.org/10.3389/fgene.2022.870590Publisher landing page
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https://www.frontiersin.org/articles/10.3389/fgene.2022.870590/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.frontiersin.org/articles/10.3389/fgene.2022.870590/pdfDirect OA link when available
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KEGG, Biology, Gene, Computational biology, Microarray analysis techniques, Genetics, Gene expression, TranscriptomeTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 1, 2024: 3, 2023: 2, 2022: 1Per-year citation counts (last 5 years)
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45Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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