2021
DOI: 10.1155/2021/1759214
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Identification of Potential Genetic Biomarkers and Target Genes of Peri-Implantitis Using Bioinformatics Tools

Abstract: Objectives. To investigate potential genetic biomarkers of peri-implantitis and target genes for the therapy of peri-implantitis by bioinformatics analysis of publicly available data. Methods. The GSE33774 microarray dataset was downloaded from the Gene Expression Omnibus (GEO). The differentially expressed genes (DEGs) between peri-implantitis and healthy gingival tissues were identified using the GEO2R tool. GO enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis… Show more

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Cited by 14 publications
(12 citation statements)
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“…Genes exhibiting significant expression differences at all four time points were selected and included in the PPI network analysis [ 18 ]. The PPI network was based on the STRING database (version 11.5, https://cn.string-db.org/ ), and the confidence level was set to 0.4 [ 19 ]. The CytoHubba plug-in (version 0.1) in the Cytoscape software (version 3.8.0) was used to measure the importance of the genes in the network, and genes with a degree ≥10 were considered as hub genes [ 20 ].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Genes exhibiting significant expression differences at all four time points were selected and included in the PPI network analysis [ 18 ]. The PPI network was based on the STRING database (version 11.5, https://cn.string-db.org/ ), and the confidence level was set to 0.4 [ 19 ]. The CytoHubba plug-in (version 0.1) in the Cytoscape software (version 3.8.0) was used to measure the importance of the genes in the network, and genes with a degree ≥10 were considered as hub genes [ 20 ].…”
Section: Methodsmentioning
confidence: 99%
“…Forward: CGGTGGCTGTCAGTCAAAG Reverse: AAACCTCGGCTTCCTCCATAA POSTN Forward: CTCATAGTCGTATCAGGGGTCG Reverse: ACACAGTCGTTTTCTGTCCAC GAPDH Forward: GGAGCGAGATCCCTCCAAAAT Reverse: GGCTGTTGTCATACTTCTCATGG exhibiting significant expression differences at all four time points were selected and included in the PPI network analysis [18]. The PPI network was based on the STRING database (version 11.5, https://cn.stringdb.org/), and the confidence level was set to 0.4 [19].…”
Section: Gene Primer Sequence (5′-3′) Fn1mentioning
confidence: 99%
“…The results of the KEGG enrichment pathway were used to explain the potential molecular mechanisms of the four essential oils on RA. Bubble maps of the pathways were plotted by RStudio (Zhang, Wang, Hu, Shen, & Liu, 2021).…”
Section: Methodsmentioning
confidence: 99%
“…With the help of the R/Bioconductor and Limma package, the online statistical tool GEO2R [16] was used to analyze the raw six gene expression data sets of wheat under different biotic stresses from GEO datasets [17] (table1). The samples have been clustered into two groups (control and infected / treatment).…”
Section: Differential Gene Expression Analysismentioning
confidence: 99%