Mountain View
biomedical and healthCAre Data Discovery Index Ecosystem
help Advanced Search
Title: Transcription profiling by array of human CD3 positive T cells from patients with familial hypercholesterolemia      
availability:
available
aggregation:
instance of dataset
privacy:
not applicable
refinement:
curated
dateReleased:
04-30-2015
ID:
E-GEOD-6088
description:
Atherosclerosis is the major cause of death in industrialized countries. This disease has initially been characterized as a lipid disorder, but current concepts argue for an inflammatory disease, which develops in the background of hypercholesterolemia and other risk factors. In response to initial events of atherosclerosis formation, such as LDL-deposition in the subendothelial space, monocytes and T cells interact with the vessel wall. However, little is known about the properties and the behavior of these cells in this context. Using familial hypercholesterolemia (FH) as a model we demonstrate substantial differences in the gene expression of freshly isolated human monocytes and T lymphocytes. In FH monocytes we found an increased uptake of oxidized LDL, elevated amounts of scavenger receptors and adhesion molecules, and differences in the regulation of intracellular lipoprotein metabolism compared to monocytes from healthy individuals. Furthermore, the monocyte subpopulation of CD14+/CD16+ cells is less frequent in FH but exhibits significantly higher levels of CD11c and CD29 which increases the likelihood for their transmigration through the endothelial layer. The presence of increased amounts of CD69 in T lymphocytes from FH patients suggests that these cells are more activated than control cells. Our results indicate that some important steps of atherosclerosis formation already take place in circulating blood cells which extends current atherosclerosis models to the plasma compartment. Experiment Overall Design: 23 T cells samples: 3 homozygous FH, 7 heterozygous FH, 13 control participants
keywords:
transcription profiling by array
format:
HTML
storedIn:
Array Express
qualifier:
not compressed
accessType:
landing page
authorization:
none
authentication:
none
primary:
true
accessURL: https://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-6088
format:
JSON
storedIn:
OmicsDI
qualifier:
not compressed
accessType:
download
authorization:
none
authentication:
none
primary:
false
accessURL: www.omicsdi.org/ws/dataset/arrayexpress-repository/E-GEOD-6088.json
format:
XML
storedIn:
OmicsDI
qualifier:
not compressed
accessType:
download
authorization:
none
authentication:
none
primary:
false
accessURL: http://www.omicsdi.org/ws/dataset/arrayexpress-repository/E-GEOD-6088.xml
ID:
SCR:014747
name:
Omics Discovery Index
abbreviation:
OmicsDI
homePage: http://www.omicsdi.org/

Feedback?

If you are having problems using our tools, or if you would just like to send us some feedback, please post your questions on GitHub.