Human coronary artery study
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE2143 | GEO | 2005/06/30
SECONDARY ACCESSION(S): PRJNA91395
REPOSITORIES: GEO
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Project description:Phenotypic heterogeneity among arterial ECs is particularly relevant to atherosclerosis since the disease occurs predominantly in major arteries, which vary in their atherosusceptibility. To explore EC heterogeneity, we used DNA microarrays to compare gene expression profiles of freshly harvested porcine coronary and iliac artery ECs. We demonstrate that in vivo the endothelial transcriptional profile of a coronary artery (the right coronary artery) is intrinsically different from that of a major conduit vessel (the external iliac artery), and that this difference is consistent with former vessel being more prone to atherosclerosis. Keywords: coronary atherosclerosis, endothelial heterogeneity, microarray, gene expression Endothelial cells were freshly harvest from right coronary, left and right iliac arteries from four pigs. RNA were isolated and expression profiles were obtained using olig microarrays.
2010-06-20 | E-GEOD-10938 | biostudies-arrayexpress
Project description:The human LncRNA microarray analysis of the 6 monocytes samples from Coronary Artery Disease patients and non Coronary Artery Disease 3 Coronary Artery Disease patients and 3 non-Coronary Artery Disease donors
2015-06-05 | E-GEOD-69587 | biostudies-arrayexpress
Project description:Phenotypic heterogeneity among arterial ECs is particularly relevant to atherosclerosis since the disease occurs predominantly in major arteries, which vary in their atherosusceptibility. To explore EC heterogeneity, we used DNA microarrays to compare gene expression profiles of freshly harvested porcine coronary and iliac artery ECs. We demonstrate that in vivo the endothelial transcriptional profile of a coronary artery (the right coronary artery) is intrinsically different from that of a major conduit vessel (the external iliac artery), and that this difference is consistent with former vessel being more prone to atherosclerosis. Keywords: coronary atherosclerosis, endothelial heterogeneity, microarray, gene expression
2008-08-23 | GSE10938 | GEO
Project description:The human LncRNA microarray analysis of the 6 monocytes samples from Coronary Artery Disease patients and non Coronary Artery Disease
2015-06-05 | GSE69587 | GEO
Project description:The human LncRNA microarray analysis of the 6 plasma samples from Coronary Artery Disease patients and non Coronary Artery Disease
2015-05-05 | GSE68506 | GEO
Project description:Monocytes and T-cells play an important role in the development of atherosclerotic coronary artery disease (CAD). Differences in transcriptional activity of these cells might reflect the individual's atherosclerotic burden. Transcriptome analysis of circulating mononuclear cells from carefully matched atherosclerotic and control patients will potentially provide insights into the pathophysiology of atherosclerosis and supply biomarkers for diagnostic purposes. From patients undergoing coronary angiography because of anginal symptoms, we carefully matched 18 patients with severe triple-vessel CAD to 13 control patients without signs of CAD on angiography. All patients were on statin and aspirin treatment. RNA from circulating CD4+ T-cells, CD14+ monocytes, lipopolysaccharide-stimulated monocytes, macrophages and CD34+ progenitor cells was subjected to genome-wide expression analysis. Only CD14+ monocytes demonstrated that a small number of genes involved in activation was overexpressed in control patients, which was verified by real-time polymerase-chain reaction. In this pilot study, cautious matching of patients with severe atherosclerotic CAD with control patients without angiographic signs of coronary atherosclerosis did not reveal differences in transcriptional activity in four out of five different mononuclear cell types. In resting monocytes from patients without overt CAD some inflammatory genes were overexpressed as compared to patients with severe CAD. Large inter-individual variability prevented the use of single differentially expressed genes as biomarkers. Keywords: disease-state analysis In total 153 arrays were analyzed with 6 technical replicates (147 biological samples). CD34+ stem cells, CD4+ T-cells, resting CD14+ monocytes, stimulated monocytes and macrophages were analyzed, all from patient with severe coronary atherosclerosis or controls that had no coronary atherosclerosis as determined angiographically, and which were carefully matched for age and gender.
2008-12-01 | E-GEOD-9820 | biostudies-arrayexpress
Project description:Vascular endothelial cells play an important role in the development of coronary artery disease, their injury leads to coronary heart disease and atherosclerosis. This study aimed to elucidate the role of FOXO3-regulated target gene expression and alternative splicing in vascular endothelial cell injury in coronary artery disease
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Project description:Peripheral blood RNA-Seq from human coronary artery calcification cases and controls; Coronary artery calcification (CAC) is a heritable and definitive morphologic marker of atherosclerosis that strongly predicts risk for future cardiovascular events. To search for genes involved in CAC, we used an integrative transcriptomic, genomic, and protein expression strategy using next-generation DNA sequencing in the discovery phase with follow-up studies using traditional molecular biology and histopathology techniques.
2014-06-10 | GSE58150 | GEO
Project description:The identification of classic risk factors for coronary artery disease unveiled pathophysiologic mechanisms of atherosclerosis. Among them, inflammation as a systemic process measurable in peripheral blood plays a central role in plaque progression. However, other mechanisms of plaque progression remain to be fully understood. Therefore, this study sought to further investigate systemic correlates of plaque progression by global gene expression in peripheral blood. Microrarray gene expression analysis revealed 93 genes differentially expressed between the groups, of which 23 genes have no known function. Among the remaining 70 genes, 10 (14%) were identified to be associated with progenitor and pluripotent cells whereas only 3 genes (4%) had been associated with atherosclerosis. A risk prediction gene signature was developed by a multivariable statistical approach model integrating comprehensive laboratory and clinical patient data. This signature identified plaque progression with 81% sensitivity and 80% specificity (AUC: 0.86) for new patients, as estimated by resampling techniques. Array results were validated by qPCR for the genes ankyrin-2 (ANK2) and glutathione S-transferase theta 1 (GSTT1). In conclusion, patients with pogressive coronary artery disease despite good risk factor control exhibit particular gene expression patterns in peripheral blood. Understanding the functional implications of the observed changes might help to design new approaches to control atherosclerosis progression. From a large database of 45,727 coronary angiograms, peripheral blood was drawn from two patient groups with good risk factor control, but different clinical evolution: First, 16 patients with significant lesion progression leading to repeated coronary interventions and second, 16 patients with angiographically documented stable courses.
2012-11-30 | E-GEOD-34822 | biostudies-arrayexpress
Project description:We developed a coronary plaque sampling approach that could be applied broadly in live patients with coronary artery disease (CAD) to obtain molecular and cellular insights into human coronary atherosclerosis. Our approach combined RNA retrieval directly from balloons used in percutaneous coronary interventions (PCI) and inexpensive, low-input RNA-Seq using SMART-seq. We generated SMART-Seq libraries from coronary samples from 27 patients. Of the 27 patients, 13 were confirmed to have stable CAD (sCAD) and 14 confirmed to have been performed on lesions causing acute coronary syndrome (ACS). We applied CIBERSORTx to analyze the SMART-seq data from each of the 27 samples. We found fibroblasts and fibromyoctes were enriched, while smooth muscle cells were reduced, in samples from ACS compared with sCAD patients. We identified 371 genes as significantly differential expressed (q<0.05) between sCAD and ACS patients.
2023-07-10 | GSE236610 | GEO