ArticleBioMed research international2019
Integration of Gene Expression Profile Data to Verify Hub Genes of Patients with Stanford A Aortic Dissection.
Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Comprehensive analysis of the lncRNA-miRNA-mRNA ceRNA network in aortic dissection.Archives of medical science : AMS · 2026Article
- Identification of hub genes in aortic dissection based on weighted gene co-expression network analysis and Mendelian randomization study.Journal of cardiothoracic surgery · 2025Article
- Identification of Pivotal ceRNA Networks Associated with Stanford-A Aortic Dissection via Integrated Bioinformatics Analysis.International journal of general medicine · 2025Article
- 3D-printing hydrogel programmed released exosomes to restore aortic medial degeneration through inhibiting VSMC ferroptosis in aortic dissection.Journal of nanobiotechnology · 2024Article
- DNA methylation alternation in Stanford- A acute aortic dissection.BMC cardiovascular disorders · 2022Article
- Bioinformatics Analysis Reveals Cell Cycle-Related Gene Upregulation in Ascending Aortic Tissues From Murine Models.Frontiers in genetics · 2022Article
- Crucial Genes in Aortic Dissection Identified by Weighted Gene Coexpression Network Analysis.Journal of immunology research · 2022Article
- Applying multi-omics techniques to the discovery of biomarkers for acute aortic dissection.Frontiers in cardiovascular medicine · 2022Review
- A Network Pharmacology Approach to Explore the Mechanism of HuangZhi YiShen Capsule for Treatment of Diabetic Kidney Disease.Journal of translational internal medicine · 2021Article
- LINC01278 Sponges miR-500b-5p to Regulate the Expression of ACTG2 to Control Phenotypic Switching in Human Vascular Smooth Muscle Cells During Aortic Dissection.Journal of the American Heart Association · 2021Article
- Analysis of Hub Genes and the Mechanism of Immune Infiltration in Stanford Type a Aortic Dissection.Frontiers in cardiovascular medicine · 2021Article
- Multiple Bioinformatics Analyses of Integrated Gene Expression Profiling Data and Verification of Hub Genes Associated with Diabetic Retinopathy.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Bioinformatics Analysis Reveals MicroRNA-193a-3p Regulates ACTG2 to Control Phenotype Switch in Human Vascular Smooth Muscle Cells.Frontiers in genetics · 2020Article
- Uncovering the Mechanism of Astragalus membranaceus in the Treatment of Diabetic Nephropathy Based on Network Pharmacology.Journal of diabetes research · 2020Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Thoracic aortic dissection (TAD) is a catastrophic disease worldwide, but the pathogenic genes and pathways are largely unclear. This study aims at integrating two gene expression profile datasets and verifying hub genes and pathways involved in TAD as well as exploring potential molecular mechanisms. We will combine our mRNAs expression profile (6 TAD tissues versus 6 non-TAD tissues) and GSE52093 downloaded from the Gene Expression Omnibus (GEO) database. The two mRNAs expression profiles contained 13 TAD aortic tissues and 11 non-TAD tissues. The two expression profile datasets were integrated and we found out coexpression of differentially expressed genes (DEGs) using bioinformatics methods. The gene ontology and pathway enrichment of DEGs were performed by DAVID and Kyoto Encyclopedia of Genes and Genomes online analyses, respectively. The protein-protein interaction networks of the DEGs were constructed according to the data from the STRING database. Cytohubber calculating result shows the top 10 hub genes with CDC20, AURKA, RFC4, MCM4, TYMS, MCM2, DLGAP5, FANCI, BIRC5, and POLE2. Module analysis revealed that TAD was associated with significant pathways including cell cycle, vascular smooth muscle contraction, and adrenergic signaling in cardiomyocytes. The qRT-PCR result showed that the expression levels of all the hub genes were significantly increased in OA samples (p < 0.05), and these candidate genes could be used as potential diagnostic biomarkers and therapeutic targets of TAD.
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