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Microarray Data Mining And Bioinformatics Analysis Of Osteoarthritis

Posted on:2022-05-11Degree:MasterType:Thesis
Country:ChinaCandidate:F L LiFull Text:PDF
GTID:2480306506976729Subject:Surgery
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Objective: In this study,bioinformatics method was used to analyze the gene microarray related to osteoarthritis(OA),to explore the key genes in the development of OA,and to further explore its molecular mechanism.To provide theoretical basis for the early diagnosis and treatment of osteoarthritis.Method: Gene expression data of GSE113825 and GSE114007 were screened and downloaded from GEO(Gene Expressionomnibus)database,and the differentially expressed genes(DEGs)were analyzed by R language respectively.GO analysis and KEGG analysis were performed on the screened overlapping DEGs.Protein-protein interaction(PPI)network analysis was performed on DEGS using STRING online database.Using plug-in Cyto Hubba screening of the top 10 hub genes(Hubgene),using the plug-in MCODE(Molecular Complex Detection),filtering stability plays an important role in the network network module,the module of the gene enrichment analysis again,clearly has a significant role of signaling pathways.Finally,GSE57218 gene expression data were used to verify the expression level of Hub gene m RNA.Result: In the GSE113825 expression profile data,1428 DEGs were screened out,including 1004 up-regulated genes and 424 down-regulated genes.In the GSE114007 expression profile data,2063 DEGs were screened,including 1216up-regulated genes and 847 down-regulated genes.By intersecting the DEGs of the two datasets,a total of 348 overlapping DEGs were screened out,including 291up-regulated genes and 57 down-regulated genes.GO enrichment analysis showed that:(1)The main biological processes(BP)of up-regulated gene enrichment were extracellular matrix tissue,osteogenesis,extracellular structure,bone formation,and bone salt deposition.The down-regulated genes mainly enriched in BP include steroid metabolism.(2)The main molecular functions(MF)enriched by the upregulated genes include: structural components of extracellular matrix,metallopeptidase activity,collagen-binding,glycosaminoglycan binding,and amide binding.The MF mainly enriched by down-regulated genes included nuclear receptor activity,transcription factor activity,direct ligand-regulated sequence specific DNA binding,heme binding,tetrapyrrole binding,and MAPK kinase activity.(3)Cellcomponents(CC)mainly enriched by the upregulated genes include: extracellular matrix containing collagen,collagen trimer,MHCII protein complex,endocytosis vesicle membrane,and MHC protein complex;Downregulation of DEGS did not significantly enrich.KEGG enrichment analysis showed that the main signal transduction pathways that up-regulated DEGS enrichment included:PI3K-Akt signaling pathway,Staphylococcus aureus infection,phagocytes,Ig A-producing intestinal immune networks,complement and coagulation cascading,systemic lupus erythematosus,antigen processing and presentation,hematopoietic cell lineage,viral myocarditis,protein digestion and absorption,allograft rejection pathways.There was no obvious pathway enrichment in downregulation of DEGS.Through the construction of PPI network,TOP10 HUB genes were obtained as follows: CDK1,PLK1,AURKA,CCNA2,TOP2 A,UBE2C,ASPM,KIF20 A,CENPF,TPX2,all of which were upregulated genes.A key functional module was screened in the PPI network,and the module genes were mainly involved in cell cycle and cell senescence.Finally,the expression level of HUB gene m RNA was verified by GSE57218 data set,and we found that CCNA2,KIF20 A,TOP2A and UBE2 C were significantly overexpressed in OA cartilage tissue.Conclusion: 1.Differential genes in OA are mainly involved in extracellular matrix tissue,osteogenesis,extracellular structural tissue,bone formation,bone salt deposition,and steroid metabolism.2.The abnormal PI3K/Akt,cell cycle and other signaling pathways caused by differential genes may be involved in the occurrence and development of OA.3.Cc NA2,TOP2 A,UBE2C and KIF20 A may be new biomarkers for osteoarthritis.It is expected to be a new target for the treatment of OA and provide a new idea for the future basic research.
Keywords/Search Tags:Osteoarthritis, bioinformatics, differentially expressed genes, GEO database
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