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pmid:38167429
HSV1 microRNAs in glioblastoma development: an in silico study.
Mahdi Abdoli Shadbad · Nima Hemmat · Mahla Abdoli Shadbad · Oronzo Brunetti · Nicola Silvestris · Behzad Baradaran
Scientific reports · 2024 doi:10.1038/s41598-023-45249-2
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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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Although HSV1 encodes viral miRs and affects the central nervous system, no study investigated the roles of HSV1-encoding miRs in GBM development. This study applied in silico approaches to investigate whether HSV1-encoding miRs are involved in GBM development and, if so, how they regulate tumor-suppressive/oncogenes expression in GBM. This study leveraged bioinformatics approaches to identify the potential effect of HSV1 miRs in GBM development. The GSE158284, GSE153679, and GSE182109 datasets were analyzed to identify differentially expressed genes in GBM tissues and cell lines using the limma package in the R software. The GSE182109 dataset was analyzed to determine gene expression at the single-cell levels using the Seurat package in the R software. The TCGA-GTEX, GDSC, CTRP, immunogenetic, and enrichment analyses were performed to study the impact of identified viral HSV1 miRs targets in GBM development. hsv1-miR-H6-3p is upregulated in GBM and can be responsible for EPB41L1 and SH3PXD2A downregulation in GBM tissues. Also, hsv1-miR-H1-5p is upregulated in GBM and can decrease the expression of MELK, FZD2, NOVA1, TMEM97, PTPRZ1, and PDGFC in GBM development. The single-cell RNA sequencing analyses have demonstrated that MELK, FZD2, NOVA1, TMEM97, PTPRZ1, and PDGFC are expressed in astrocytes residing in the GBM microenvironment. This study provides novel insights into the potential roles of HSV1 miRs in GBM pathogenesis and offers a reference for further studies on the significance of HSV1 miRs in GBM development.", "claims": [{"id": "claim-method", "statement": "The limma package was used to identify DEGs. 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The single-cell RNA sequencing analyses have demonstrated that MELK, FZD2,"], "order_basis": "paper_text_order:1430", "id": "assay:1"}, {"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["nd PDGFC in GBM development. The single-cell RNA sequencing analyses have demonstrated that MELK, FZD2,"], "order_basis": "paper_text_order:1442", "id": "assay:2"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["The limma package was used to identify DEGs. The adjusted P-value ˂ 0.05 and |log2FC| ≥ 1.3 were the criteria for these analyses considering a miR or an mRNA as significantly altered miR or mRNA expression."], "order_basis": "consumes_earlier_output", "id": "assay:3"}]}