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Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease (Homo sapiens)

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Homo sapiens

PROVIDER: GSE20686 | GEO | 2011/03/01

SECONDARY ACCESSION(S): PRJNA124951

REPOSITORIES: GEO

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Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease (Homo sapiens)

Project description:This SuperSeries is composed of the following subset Series: GSE20680: Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease from the Cathgen Registry GSE20681: Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease from the PREDICT Trial Refer to individual Series

2011-03-01 | E-GEOD-20686 | biostudies-arrayexpress

Peripheral Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease (Homo sapiens)

Project description:Expression profiling of peripheral blood mononuclear cells isolated from patients piror to undergoing cardiac catheterization Disease: NonStenotic: 17-0711, 17-0889, 17-0920, 17-0810, 17-0985, 17-0948, 17-0933, 17-0929, 17-0828, 17-0813, 17-1068, 17-0842, 17-0967, 17-0750 Disease: Stentotic: 17-0736, 17-0727, 17-0915, 17-0913, 17-0866, 17-1043, 17-1037, 17-0994, 17-0924, 17-0921, 17-0917, 17-0916, 17-0808, 17-0758, 17-0963, 17-0958, 17-0951, 17-0822, 17-0815, 17-1089, 17-1083, 17-1077, 17-0954, 17-1086, 17-1057, 17-0748, 17-0722 biological repeat: 17-0711, 17-0889, 17-0920, 17-0810, 17-0985, 17-0948, 17-0933, 17-0929, 17-0828, 17-0813, 17-1068, 17-0842, 17-0967, 17-0750 biological repeat: 17-0736, 17-0727, 17-0915, 17-0913, 17-0866, 17-1043, 17-1037, 17-0994, 17-0924, 17-0921, 17-0917, 17-0916, 17-0808, 17-0758, 17-0963, 17-0958, 17-0951, 17-0822, 17-0815, 17-1089, 17-1083, 17-1077, 17-0954, 17-1086, 17-1057, 17-0748, 17-0722 Keywords: disease state analysis

2008-10-08 | GSE10195 | GEO

Homo sapiens whole blood.

Project description:RNA extracted at 240min. Samples are rRNA depleted. Expression measurement of Homo sapiens genes.

2019-07-31 | GSE114179 | GEO

Gene expression profiling in whole blood of patients with coronary artery disease.

Project description:Owing to the dynamic nature of the transcriptome, gene expression profiling is a promising tool for discovery of disease-related genes and biological pathways. In the present study, we examined gene expression in whole blood of 12 patients with CAD (coronary artery disease) and 12 healthy control subjects. Furthermore, ten patients with CAD underwent whole-blood gene expression analysis before and after the completion of a cardiac rehabilitation programme following surgical coronary revascularization. mRNA and miRNA (microRNA) were isolated for expression profiling. Gene expression analysis identified 365 differentially expressed genes in patients with CAD compared with healthy controls (175 up- and 190 down-regulated in CAD), and 645 in CAD rehabilitation patients (196 up- and 449 down-regulated post-rehabilitation). Biological pathway analysis identified a number of canonical pathways, including oxidative phosphorylation and mitochondrial function, as being significantly and consistently modulated across the groups. Analysis of miRNA expression revealed a number of differentially expressed miRNAs, including hsa-miR-140-3p (control compared with CAD, P=0.017), hsa-miR-182 (control compared with CAD, P=0.093), hsa-miR-92a and hsa-miR-92b (post- compared with pre-exercise, P<0.01). Global analysis of predicted miRNA targets found significantly reduced expression of genes with target regions compared with those without: hsa-miR-140-3p (P=0.002), hsa-miR-182 (P=0.001), hsa-miR-92a and hsa-miR-92b (P=2.2x10-16). In conclusion, using whole blood as a 'surrogate tissue' in patients with CAD, we have identified differentially expressed miRNAs, differentially regulated genes and modulated pathways which warrant further investigation in the setting of cardiovascular function. This approach may represent a novel non-invasive strategy to unravel potentially modifiable pathways and possible therapeutic targets in cardiovascular disease.

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Homo sapiens whole blood infected with Candida spp.

Project description:This SuperSeries is composed of the SubSeries listed below.

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Whole-Blood Transcriptome Profiling Identifies Women With Myocardial Infarction With Nonobstructive Coronary Artery Disease.

Project description: Not available

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Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease from the Cathgen Registry

2011-03-01 | GSE20680 | GEO

Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease from the PREDICT Trial

2011-03-01 | GSE20681 | GEO

Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease from the Cathgen Registry

Project description:Expression profiling of whole blood cells isolated from patients piror to undergoing cardiac catheterization. The Cathgen Registry is a single-center coronary catheter-lab cohort being run at Duke University for the purpose of identifying biomarkers associated with coronary disease. 3 condition experiment: Cases (2) are patients with ?70% stenosis in >1 major vessel or ?50% stenosis in >2 arteries; intermediates (1) are patients with luminal stenosis >25% but less than 50%; controls (0) have luminal stenosis of <=25%

2011-03-01 | E-GEOD-20680 | biostudies-arrayexpress

Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease from the PREDICT Trial

Project description:Expression profiling of whole blood cells isolated from patients piror to undergoing cardiac catheterization. PREDICT is a prospective, multi-center coronary catheter-lab trial being run in the US for the purpose of identifying biomarkers associated with coronary disease. A summary of the trial can be found at http://clinicaltrials.gov (identifier # NCT00500617). 2 condition, paired experiment: Cases (1) are patients with ≥50% stenosis in >= 1 major vessel by quantitative coronary angiography (QCA), Controls (0) have luminal stenosis of < 50% by QCA. Samples were paired based on case/control status, age, and gender.

2011-03-01 | E-GEOD-20681 | biostudies-arrayexpress

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