Article

Transcriptome signatures reveal candidate key genes in the peripheral blood mononuclear cells of patients with coronary artery disease and prediction of small drug molecules

2020-12-28

Abstract excerpt

Coronary artery disease (CAD) is one of the most common disorders in the cardiovascular system. This study aims to explore potential signaling pathways and important biomarkers that drive CAD development. The CAD GEO Dataset GSE113079 was featured to screen differentially expressed genes (DEGs). The pathway and Gene Ontology (GO) enrichment analysis of DEGs were analyzed using the ToppGene. We screened hub and tar...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a9e30aa5-f5e4-5705-98e9-87d553d1fceb
DOI: 10.21203/rs.3.rs-122558/v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Transcriptome signatures reveal candidate key genes in the peripheral blood mononuclear cells of patients with coronary artery disease and prediction of small drug moleculesDOI 10.21203/rs.3.rs-122558/v2Read

Identification of novel prognostic targets in coronary artery disease and related complications using bioinformatics and next generation sequencing data analysisSemantic proximity Read

Integrative Genomic and Computational Drug Discovery Approach to Unveil Key Pathways and Therapeutic Targets in Coronary Artery DiseaseSemantic proximity Read

Study on the mechanism of action of probucol in the treatment of coronary artery disease based on network pharmacology and molecular docking technologySemantic proximity Read

Genetic targets related to aging for the treatment of coronary artery diseaseSemantic proximity Read

Identification of biomarkers associated with phagocytosis regulatory factors in coronary artery disease using machine learning and network analysis.Semantic proximity Read

Bioinformatics-Based Characterization of Key Biomarkers and Immune Infiltration in Coronary Artery DiseaseSemantic proximity Read

Identification of Potential Biomarkers for CAD Using Integrated Expression and Methylation DataSemantic proximity Read

Identification of potential biomarkers for CAD using integration with expression and methylation data and validation by case-control studySemantic proximity Read

Identification and Interaction Analysis of Molecular Markers in Myocardial Infarction by Integrated Bioinformatics AnalysisSemantic proximity Read

Identification of potential blood biomarkers of coronary artery disease using a cuproptosis gene setSemantic proximity Read

Identification of Signal Pathways and Hub Genes of Pulmonary Arterial Hypertension by Bioinformatic AnalysisSemantic proximity Read

Identification of Potential Risk Genes and the Immune Landscape of Idiopathic Pulmonary Arterial Hypertension via Microarray Gene Expression Dataset Reanalysis.Semantic proximity Read