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pmid:35287505
Identification of ITGAX and CCR1 as potential biomarkers of atherosclerosis via Gene Set Enrichment Analysis.
Sheng Yan · Lingbing Meng · Xiaoyong Guo · Zuoguan Chen · Yuanmeng Zhang · Yongjun Li
The Journal of international medical research · 2022 doi:10.1177/03000605211039480
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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This study aimed to identify gene expression differences between atheroma plaques and normal tissues in humans.\nMETHODS: The expression profiling dataset GSE43292 was obtained from the Gene Expression Omnibus (GEO) dataset. The differentially expressed genes (DEGs) were identified between the atheroma plaques and normal tissues via GEO2R, and functional annotation of the DEGs was performed by GSEA. STRING and MCODE plug-in of Cytoscape were used to construct a protein-protein interaction (PPI) network and analyze hub genes. Finally, quantitative polymerase chain reaction (qPCR) was performed to verify the hub genes.\nRESULTS: Overall, 134 DEGs were screened. Functional annotation demonstrated that these DEGs were mainly enriched in sphingolipid metabolism, apoptosis, lysosome, and more. Six hub genes were identified from the PPI network: ITGAX, CCR1, IL1RN, CXCL10, CD163, and MMP9. qPCR analysis suggested that the relative expression levels of the six hub genes were significantly higher in AS samples.\nCONCLUSIONS: We used bioinformatics to identify six hub genes: ITGAX, CCR1, IL1RN, CXCL10, CD163, and MMP9. 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