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LncRNA expression profiling for 6 human monocytes samples from Coronary Artery Disease patients and non Coronary Artery Disease patients

ABSTRACT: The human LncRNA microarray analysis of the 6 monocytes samples from Coronary Artery Disease patients and non Coronary Artery Disease

ORGANISM(S): Homo sapiens

PROVIDER: GSE69587 | GEO | 2015/06/05

SECONDARY ACCESSION(S): PRJNA285909

REPOSITORIES: GEO

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LncRNA expression profiling for 6 human monocytes samples from Coronary Artery Disease patients and non Coronary Artery Disease patients

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

LncRNA expression profiling for 6 human plasma samples from Coronary Artery Disease patients and non Coronary Artery Disease patients

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

LncRNA expression profiling for 6 human plasma samples from Coronary Artery Disease patients and non Coronary Artery Disease patients

Project description:The human LncRNA microarray analysis of the 6 plasma samples from Coronary Artery Disease patients and non Coronary Artery Disease Agilent Feature Extraction software (version 11.0.1.1) was used to analyze acquired array images. Quantile normalization was performed using Expander6 and subsequent data processing was performed using the GeneSpring GX v11.5.1 software package (Agilent Technologies). After low intensity filtering, LncRNAs and mRNAs that at least 2 out of 12 samples have flags in Present or Marginal (“All Targets Value”) were chosen for quantile normalization and further data analysis. Differentially expressed LncRNAs and mRNAs with statistical significance were identified through Volcano Plot filtering. Pathway analysis and GO analysis were applied to determine the roles of these differentially expressed mRNAs played in these biological pathways or GO terms. Finally, Hierarchical Clustering was performed to show the distinguishable LncRNAs expression pattern among samples.

2015-05-05 | E-GEOD-68506 | biostudies-arrayexpress

Expression Data from epicardial (EAT) and subcutaneous adipose tissue (SAT) in patients with coronary artery disease

Project description:We took samples of subcutaneous adipose tissue from the sternum (SAT) and epicardial adipose tissue (EAT) from a site adjacent to the right coronary artery in cases with coronary disease and controls without coronary disease. Cases had significant coronary disease and were undergoing coronary artery bypass surgery. Controls all had coronary angiograms and did not have significant coronary disease.

2018-10-04 | GSE120774 | GEO

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

miRNA profiling of plasma samples: patients with unstable coronary artery disease and controls

2013-08-13 | GSE49823 | GEO

Transcriptome Analysis in Patients with Progressive Coronary Artery Disease

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

Proteins bound to BTBD7_hsa_circ_0000563 in coronary artery disease

Project description:We aimed to clarify the possible functional role of hsa_circ_0000563 in coronary artery disease. Therefore, the ChIRP-MS was conducted to explore the interaction between BTBD7_hsa_circ_0000563 and proteins on a genomic scale in human peripheral blood mononuclear cell (PBMC). This project is the raw files of the proteins bound to hsa_circ_0000563 found by ChIRP-MS in PBMC.

2023-03-11 | PXD033196 | Pride

miRNA profiling of plasma samples: patients with unstable coronary artery disease and controls

Project description:This study describes a circulating miRNA signature of unstable angina (UA), which may be used as a novel biomarker for unstable coronary artery disease (CAD). The Taqman low-density miRNA array were used to identify distinct miRNA expression profiles in the plasma of patients with typical UA and angiographically documented CAD (UA group, n = 13) compared to individuals with non-cardiac chest pain (control group, n = 13). EDTA-plasma samples were obtained before the cardiac catheterization procedure.The study included 2 groups that were classified according to angiographic evidence and clinical evaluation of chest pain. Patients with chest pain or discomfort but with angiographic exclusion of coronary atherosclerosis were enrolled in the control group (n = 13). Chest discomfort referred to the following complaints: chest pain, pressure, tightness, or heaviness; pain that radiated to the neck, jaw, shoulders, back, or one or both arms; and persistent shortness of breath. Patients with typical unstable angina (UA) and angiographically documented CAD were enrolled in the UA group (n = 13).

2013-08-13 | E-GEOD-49823 | biostudies-arrayexpress

Comparative platelet releasate proteome profiling of acute coronary syndrome versus stable coronary artery disease

Project description:Upon activation, platelets release a host of soluble and vesicular signals, collectively termed the ‘platelet releasate’ (PR). The contents of this PR play a significant role in haemostasis, inflammation, and pathologic sequelae. Despite this, proteomic studies investigating the PR in coronary artery disease have not been performed. We undertook a comparative label-free quantitative (LFQ) proteomic profiling of the 1U/ml thrombin-induced PR from 13 acute coronary syndrome (ACS-STEMI) versus 14 stable angina pectoris patients using a tandem mass spectrometry approach. We identified differentially released platet proteins including tetranectin (CLEC3B), protein disulfide-isomerase-A3 (PDIA3), coagulation factor V (F5) and fibronectin (FN1). Strikingly, all 9 differential proteins were associated with the GO cellular component term ‘extracellular vesicle’ and reduced levels of EVs were detected in plasma of ACS-STEMI patients. Network analysis revealed 3 PR proteins either reduced (F5; FN1) or absent (CLEC3B) in ACS-STEMI patients, which are strongly connected to both the clotting cascade and major druggable targets on platelets. This moderated signature highlights the possible basis of platelet dysfunction in ACS-STEMI and may prove useful for non-invasive risk assessment of the progression of coronary artery disease.

2020-06-05 | PXD009356 | Pride

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