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pmid:37623357
Development and Validation of Robust Ferroptosis-Related Genes in Myocardial Ischemia-Reperfusion Injury.
Xiuxian Wei · Yi Li · Pengcheng Luo · Yue Dai · Tao Jiang · Mulin Xu · Yi Hao · Cuntai Zhang · Yu Liu
Journal of cardiovascular development and disease · 2023 doi:10.3390/jcdd10080344
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Complete file
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(2) Methods: We included three GEO datasets and a set of ferroptosis-related genes with 259 genes. Following the identification of the differentially expressed ferroptosis-related genes (DEFRGs) and hub genes, we performed the functional annotation, protein-protein interaction network, and immune infiltration analysis. The GSE168610 dataset, a cell model, and an animal model were then used to verify key genes. (3) Results: We identified 17 DEFRGs and 9 hub genes in the MIR samples compared to the control. Heme oxygenase 1 (Hmox1), activating transcription factor 3 (Atf3), epidermal growth factor receptor (Egfr), and X-box binding protein 1 (Xbp1) were significantly upregulated in response to ischemic and hypoxic stimuli. In contrast, glutathione peroxidase 4 (Gpx4) and vascular endothelial growth factor A (Vegfa) were consistently decreased in either the oxygen and glucose deprivation/reoxygenation cell or the MIR mouse model. (4) Conclusions: This study emphasized the relevance of ferroptosis in MIR. It has been successfully demonstrated that nine ferroptosis-related genes (Hmox1, Atf3, Egfr, Gpx4, Cd44, Vegfa, asparagine synthetase (Asns), Xbp1, and bromodomain containing 4 (Brd4)) are involved in the process. Additional studies are needed to explore potential therapeutic targets for MIR.", "claims": [{"id": "claim-method", "statement": "The identification of DEGs was performed using the Limma package in R software (version 4.2).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37623357", "locator": "sections[5] \"2.3. Identification of DEGs and DEFRGs\" paragraph 2", "quote": "The identification of DEGs was performed using the Limma package in R software (version 4.2)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. 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(4) Conclusions: This study emphasized the", "se deprivation/reoxygenation cell or the MIR mouse model. (4) Conclusions: This study emphasize", "s (NIH Publication No. 85–23, revised 1996). Mice were numbered using an online number generator (h"], "order_basis": "paper_text_order:1159", "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": 0.99, "evidence": ["2. Materials and Methods 2.2. Analysis of RNA-seq Data The RNA-seq data were obtained from the", "nd Methods 2.2. Analysis of RNA-seq Data The RNA-seq data were obtained from the GEO database (GS"], "order_basis": "paper_text_order:1588", "id": "assay:2"}, {"role": "data_generation", "definition_id": "microarray", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["tary Table S3). After standardization of the microarray data, there were 2920 DEGs in GSE4105 (1477"], "order_basis": "paper_text_order:3686", "id": "assay:3"}, {"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 identification of DEGs was performed using the Limma package in R software (version 4.2)."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}