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
Project description:The human LncRNA microarray analysis of the 6 monocytes samples from Coronary Artery Disease patients and non Coronary Artery Disease
Project description: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.
Project description:We conducted RNA-Seq transcriptome profiling on monocytes isolated from patients undergoing coronary angiography. After the procedure, patients were divided into two groups: those without coronary artery stenosis ("w.o. CA", n=11) and those with coronary artery stenosis ("w. CA", n=9). All patients were men, aged 61±6 years. CD14+ monocytes were isolated, and RNA-seq was performed on the Illumina NextSeq 2000 platform. This data was analyzed to identify changes in gene expression profiles associated with coronary atherosclerosis. Transcriptome analysis revealed an upregulation of numerous inflammatory genes. Moreover, we found that the gene expression profile of monocytes from patients with coronary atherosclerosis shifted towards the profile typically observed in minor CD16+ monocyte subsets.
Project description:In this study we analyzed the gene expression profiles of human monocytes and monocyte-dervied-macrophages. Keywords: Gene expression profiling Blood samples were obtained from 86 patients with symptoms of acute coronary syndrome who had undergone coronary angiography at the department of cardiology of the Pitié-Salpêtrière Hospital, Paris and who had on stenosis > 50 % diagnosed in at least one major coronary artery. 48 monocyte and 48 macrophage samples (38 pools of 2 samples and 10 individual samples for each type of RNA) were hybridized to the RNG/MRC platform.
Project description:19 paired human left ventricular apex samples were harvested at the time of implant of a left ventricular assist device (PRE) and at the time of explant (POST). The cohort included patients that were clinically classified as "ischemic" (I) showing evidence of coronary artery disease, "non-ischemic" (N) no evidence of coronary artery disease or "acute Myocardial infarction" (IM) myocardial infarction within 10 days of the implant. Tissue was processed and hybridized to the Affymetrix HG-U133A chip. Keywords: other
Project description:19 paired human left ventricular apex samples were harvested at the time of implant of a left ventricular assist device (PRE) and at the time of explant (POST). The cohort included patients that were clinically classified as ischemic (I) showing evidence of coronary artery disease, non-ischemic (N) no evidence of coronary artery disease or acute Myocardial infarction (IM) myocardial infarction within 10 days of the implant. Tissue was processed and hybridized to the Affymetrix HG-U133A chip.
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
