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Annotation type
1
differential activity
Annotation Category
1
Gene expression levels
Annotation type Category
1
RNA-seq
Available data
1
tsv
File set status
1
released
Organism
1
Homo sapiens
Biosample type
1
tissue
Biosample term
21
coronary artery
20
endothelial cell of umbilical vein
19
tibial artery
16
ascending aorta
16
endothelial cell of hepatic sinusoid
13
aorta
11
thoracic aorta
10
choroid plexus epithelial cell
10
dermis blood vessel endothelial cell
8
dermis lymphatic vessel endothelial cell
8
fibroblast of pulmonary artery
7
pulmonary artery endothelial cell
7
smooth muscle cell of the coronary artery
6
smooth muscle cell of the brain vasculature
5
cardiac fibroblast
5
Afferent / Efferent Arteriole Endothelial Cell
5
Degenerative Peritubular Capillary Endothelial Cell
5
Degenerative Vascular Smooth Muscle Cell
5
Glomerular Capillary Endothelial Cell
5
Lymphatic Endothelial Cell
5
Peritubular Capillary Endothelial Cell
5
Vascular Smooth Muscle Cell / Pericyte
5
brain microvascular endothelial cell
5
fibroblast of the aortic adventitia
5
kidney capillary endothelial cell
5
lung microvascular endothelial cell
4
aortic endothelial cell
4
dermis microvascular lymphatic vessel endothelial cell
4
endothelial cell of lymphatic vessel
4
pancreatic endothelial cell
4
vascular associated smooth muscle cell
2
capillary endothelial cell
2
endothelial cell of coronary artery
2
vein endothelial cell
1
brain microvascular endothelial cell
1
abdominal aorta artery
1
aorta wall
1
aortic smooth muscle cell
1
cardiac fibroblast
1
circle of Willis
1
placental villus capillary endothelial cell
1
whole blood
Disease term
1
coronary artery disease
Organ
1
blood vessel
1
vasculature
Life stage
1
adult
Date released
1
February, 2024
Software used
1
deseq2
Lab
1
AMP-T2D consortium
Project
1
AMP
RFA
1
AMP
Showing 1 of 1 results
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FileSet
DSR971CLJ
released
Annotation file set
: Tissue-specific differentially expressed genes for CAD case/control status from STARNET bulk RNA seq data for aorta wall (FDR=10%)
Lab:
AMP-T2D consortium
Project:
AMP