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pmid:32631246
Identification of candidate genes in ischemic cardiomyopathy by gene expression omnibus database.
Haiming Dang · Yicong Ye · Xiliang Zhao · Yong Zeng
BMC cardiovascular disorders · 2020 doi:10.1186/s12872-020-01596-w
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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According to these DEGs, we carried out the functional annotation, protein-protein interaction (PPI) network and transcriptional regulatory network constructions. The expression of selected candidate genes were confirmed using a published dataset and Quantitative real time polymerase chain reaction (qRT-PCR).\nRESULTS: From three Gene Expression Omnibus (GEO) datasets, we acquired 1081 DEGs (578 up-regulated and 503 down-regulated genes) between ICM and healthy control. The functional annotation analysis revealed that cardiac muscle contraction, hypertrophic cardiomyopathy, arrhythmogenic right ventricular cardiomyopathy and dilated cardiomyopathy were significantly enriched pathways in ICM. SNRPB, BLM, RRS1, CDK2, BCL6, BCL2L1, FKBP5, IPO7, TUBB4B and ATP1A1 were considered the hub proteins. PALLD, THBS4, ATP1A1, NFASC, FKBP5, ECM2 and BCL2L1 were top six transcription factors (TFs) with the most downstream genes. The expression of 6 DEGs (MYH6, THBS4, BCL6, BLM, IPO7 and SERPINA3) were consistent with our integration analysis and GSE116250 validation results.\nCONCLUSIONS: The candidate DEGs and TFs may be related to the ICM process. This study provided novel perspective for understanding mechanism and exploiting new therapeutic means for ICM.", "claims": [{"id": "claim-method", "statement": "MetaMA, an R package, is applied to combine data from three GEO datasets. The Benjamini & Hochberg (False discovery rate; FDR) were used to modulate the P-values.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32631246", "locator": "sections[4] \"Identification of DEGs\" paragraph 2", "quote": "MetaMA, an R package, is applied to combine data from three GEO datasets. 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