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pmid:33204705
Construction of a Potential Breast Cancer-Related miRNA-mRNA Regulatory Network.
Xinhong Liu · Feng Chen · Fang Tan · Fang Li · Ruokun Yi · Dingyi Yang · Xin Zhao
BioMed research international · 2020 doi:10.1155/2020/6149174
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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The regulation of the expression of related genes by microRNA (miRNA) plays an important role in breast cancer. We constructed a comprehensive breast cancer-miRNA-gene interaction map.\nMETHODS: Three miRNA microarray datasets (GSE26659, GSE45666, and GSE58210) were obtained from the GEO database. Then, the R software \"LIMMA\" package was used to identify differential expression analysis. Potential transcription factors and target genes of screened differentially expressed miRNAs (DE-miRNAs) were predicted. The BRCA GE-mRNA datasets (GSE109169 and GSE139038) were downloaded from the GEO database for identifying differentially expressed genes (DE-genes). Next, GO annotation and KEGG pathway enrichment analysis were conducted. A PPI network was then established, and hub genes were identified via Cytoscape software. The expression and prognostic roles of hub genes were further evaluated.\nRESULTS: We found 6 upregulated differentially expressed- (DE-) miRNAs and 18 downregulated DE-miRNAs by analyzing 3 Gene Expression Omnibus databases, and we predicted the upstream transcription factors and downstream target genes for these DE-miRNAs. Then, we used the GEO database to perform differential analysis on breast cancer mRNA and obtained differentially expressed mRNA. We found 10 hub genes of upregulated DE-miRNAs and 10 hub genes of downregulated DE-miRNAs through interaction analysis.\nCONCLUSIONS: In this study, we have performed an integrated bioinformatics analysis to construct a more comprehensive BRCA-miRNA-gene network and provide new targets and research directions for the treatment and prognosis of BRCA.", "claims": [{"id": "claim-method", "statement": "The R software “LIMMA” package was used to identify DE-miRNAs between BRCA tissues and normal tissues.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33204705", "locator": "sections[4] \"2.2. Identification of Differentially Expressed miRNAs (DE-miRNAs)\" paragraph 2", "quote": "The R software “LIMMA” package was used to identify DE-miRNAs between BRCA tissues and normal tissues."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used to support the study findings are mostly included in the article. 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