Back to search

Article

Bioinformatics Analysis of Key Differentially Expressed Genes in Pericoronary Adipose Tissue Associated with the Diagnosis of Coronary Artery Disease

2022-12-07

Abstract excerpt

<h4>Objective: </h4> To investigate the potential key biomarkers for the diagnosis of coronary artery disease (CAD) in pericoronal adipose tissue using bioinformatics analysis, and to explore the mechanism underlying the occurrence and progression of CAD. <h4>Methods:</h4> Two datasets were downloaded from the Gene Expression Omnibus (GEO) database for bioinformatics analysis, the differentially expressed genes (D...

Topics

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

Identifiers and source

Literature Corpus work
6619ec2d-ac89-525e-b7f4-c23d384d48b9
DOI
10.21203/rs.3.rs-2326297/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Bioinformatics Analysis of Key Differentially Expressed Genes in Pericoronary Adipose Tissue Associated with the Diagnosis of Coronary Artery DiseaseDOI 10.21203/rs.3.rs-2326297/v1
Exploring the Role of Epicardial Adipose Tissue in Coronary Artery Disease From the Difference of Gene ExpressionSemantic proximity
Identification of key genes and pathways affected in epicardial adipose tissue from patients with coronary artery disease by integrated bioinformatics analysisSemantic proximity
Association of Pericardiac Adipose Tissue With Coronary Artery DiseaseSemantic proximity
Identification of key genes and mechanisms of epicardial adipose tissue in patients with diabetes through bioinformatic analysisSemantic proximity
Integration of Gene Expression Profile Data of Human Epicardial Adipose Tissue From Postoperative Atrial Fibrillation to Verification of Hub GenesSemantic proximity
Bioinformatics-Based Characterization of Key Biomarkers and Immune Infiltration in Coronary Artery DiseaseSemantic proximity
Identification of key fatty acid metabolism-related genes in pulmonary arterial hypertension through bioinformatics analysis and experimental studiesSemantic proximity
Identification of key genes for atherosclerosis in different arterial bedsSemantic proximity
Genetic targets related to aging for the treatment of coronary artery diseaseSemantic proximity
Identification of biomarkers and therapeutic targets in the peripheral immune landscape from coronary artery diseaseSemantic proximity
Identification and verification of immune-related genes for diagnosing the progression of atherosclerosis and metabolic syndromeSemantic proximity
lncRNA expression profiles and associated ceRNA network analyses in epicardial adipose tissue of patients with coronary artery diseaseSemantic proximity
Select a neighboring publication to make it the new centre.