CRISPR perturbations at many coronary artery disease loci impair vascular endothelial cell functions
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2021-05-12
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Gene expression profile at single cell level of primary human aortic endothelial cells (HAECs) under stimulation of pathophysiologic flows and antiproliferative therapies (rapamycin, paclitaxel). Gene expression profile at single cell level of primary human aortic endothelial cells (HAECs) under stimulation of pathophysiologic flows and antiproliferative therapies (rapamycin, paclitaxel)
Endothelial cells (ECs) are by definition plastic and multipotent. EC plasticity was evaluated by stimulating EC to physiological and pathological stress coupled with antiproliferative therapies. Over
NIAID Data Ecosystem50
mRNA profiles of WTAP siRNA-treated HUVECs
To examine the role of WTAP in splicing regulation, we performed high-throughput mRNA sequencing (RNA-seq) on RNA isolated from control, WTAP or Virilizer siRNA-treated HUVECs, yielding 12 million uni
NIAID Data Ecosystem30
Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease from the PREDICT Trial
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
NIAID Data Ecosystem20
Additional file 2: of Peripheral-blood gene expression profiling studies for coronary artery disease and its severity in Xinjiang population in China
Table S2. Gene list of the coronary artery stenosis-related down-regulated genes identified by linear mixed effects model analysis. (XLSX 52 kb)
NIAID Data Ecosystem40
Gene expression analysis suggests immunological changes of peripheral blood monocytes in the progression of patients with coronary artery disease. Gene expression analysis suggests immunological changes of peripheral blood monocytes in the progression of patients with coronary artery disease
Objectives: To analyze the gene expression profile of peripheral blood monocytes in different stages of coronary artery disease (CAD) by transcriptome sequencing, and to explore potential genes and pa
NIAID Data Ecosystem20



