ArticleScientific reports2021
Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 40 citations in OpenAlex.
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- Early diagnosis of acute myocardial infarction via hub genes identified by integrated weighted gene co-expression network analysis.American heart journal plus : cardiology research and practice · 2025Article
- Transcriptomic signatures of prostate cancer progression: a comprehensive RNA-seq study.3 Biotech · 2025Article
- Gene network analysis identifies dysregulated pathways in an autism spectrum disorder caused by mutations in Transcription Factor 4.Scientific reports · 2025Article
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- From Diabetes to Dementia: Identifying Key Genes in the Progression of Cognitive Impairment.Brain sciences · 2024Article
- Identification and experimental validation of KMO as a critical immune-associated mitochondrial gene in unstable atherosclerotic plaque.Journal of translational medicine · 2024Article
- The Human Developing Cerebral Cortex Is Characterized by an Elevated De Novo Expression of Long Noncoding RNAs in Excitatory Neurons.Molecular biology and evolution · 2024Article
- Identification of modules and key genes associated with breast cancer subtypes through network analysis.Scientific reports · 2024Article
- Large-scale transcriptomic and genomic analyses reveal a novel functional gene SERPINB6 for chicken carcass traits.Journal of animal science and biotechnology · 2024Article
- Identification of important genes related to HVSMC proliferation and migration in graft restenosis based on WGCNA.Scientific reports · 2024Article
- Identification of potential pseudogenes for predicting the prognosis of hepatocellular carcinoma.Journal of cancer research and clinical oncology · 2023Article
- Gene coexpression network analysis reveals perirenal adipose tissue as an important target of prenatal malnutrition in sheep.Physiological genomics · 2023Article
- Integrated analysis of inflammatory mRNAs, miRNAs, and lncRNAs elucidates the molecular interactome behind bovine mastitis.Scientific reports · 2023Article
- m6A regulator-mediated RNA methylation modification patterns are involved in the regulation of the immune microenvironment in ischaemic cardiomyopathy.Scientific reports · 2023Article
- Exploring breast cancer exosomes for novel biomarkers of potential diagnostic and prognostic importance.3 Biotech · 2023Article
- Identifying patterns of immune related cells and genes in the peripheral blood of acute myocardial infarction patients using a small cohort.Journal of translational medicine · 2022Article
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- Precision machine learning to understand micro-RNA regulation in neurodegenerative diseases.Frontiers in molecular neuroscience · 2022Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This investigation seeks to dissect coronary artery disease molecular target candidates along with its underlying molecular mechanisms. Data on patients with CAD across three separate array data sets, GSE66360, GSE19339 and GSE97320 were extracted. The gene expression profiles were obtained by normalizing and removing the differences between the three data sets, and important modules linked to coronary heart disease were identified using weighted gene co-expression network analysis (WGCNA). Gene Ontology (GO) functional and Kyoto Encyclopedia of Genes and genomes (KEGG) pathway enrichment analyses were applied in order to identify statistically significant genetic modules with the Database for Annotation, Visualization and Integrated Discovery (DAVID) online tool (version 6.8; http://david.abcc.ncifcrf.gov ). The online STRING tool was used to construct a protein-protein interaction (PPI) network, followed by the use of Molecular Complex Detection (MCODE) plug-ins in Cytoscape software to identify hub genes. Two significant modules (green-yellow and magenta) were identified in the CAD samples. Genes in the magenta module were noted to be involved in inflammatory and immune-related pathways, based on GO and KEGG enrichment analyses. After the MCODE analysis, two different MCODE complexes were identified in the magenta module, and four hub genes (ITGAM, degree = 39; CAMP, degree = 37; TYROBP, degree = 28; ICAM1, degree = 18) were uncovered to be critical players in mediating CAD. Independent verification data as well as our RT-qPCR results were highly consistent with the above finding. ITGAM, CAMP, TYROBP and ICAM1 are potential targets in CAD. The underlying mechanism may be related to the transendothelial migration of leukocytes and the immune response.
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