Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Comparative SAGE Analysis of the Response to Hypoxia in Human Pulmonary and Aortic Endothelial Cells

ABSTRACT: Cultures of human aortic (HAEC) and pulmonary artery endothelial cells (HPAEC) were exposured to short-term chronic hypoxia (1% O2) for either 0h, 8h or 24h Keywords: Time course, cell-type comparison

ORGANISM(S): Homo sapiens

PROVIDER: GSE2838 | GEO | 2005/06/28

SECONDARY ACCESSION(S): PRJNA92473

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Comparative SAGE Analysis of the Response to Hypoxia in Human Pulmonary and Aortic Endothelial Cells

Project description:Cultures of human aortic (HAEC) and pulmonary artery endothelial cells (HPAEC) were exposured to short-term chronic hypoxia (1% O2) for either 0h, 8h or 24h Keywords: Time course, cell-type comparison The response of each cell type (HAEC and HPAEC) to short-term chronic hypoxia was determined by a single SAGE library for each of three time points (0h, 8h and 24h)

2005-06-28 | E-GEOD-2838 | biostudies-arrayexpress

Expression profiling of Endothelial (EC) and Non-endothelial Cells

2011-04-04 | GSE21212 | GEO

Expression profiling of Endothelial (EC) and Non-endothelial Cells

Project description:Gene expression profiling of HUVEC (human umbilical vein EC cell; Lonza), HAEC (human aortic EC cells), HCAEC (human coronary artery EC cells), HPAEC (human pulmonary artery EC cells), HMVEC (human microvascular (dermal) , HASMC ( Human Aortic Smooth Muscle Cells), T cells and Bcells. Gene expression profiling of Endothelial cells and Non-endothelial cells in order to identify the genes with preferntial expression to endothelial cells. The experiments are performed in duplicate on both the HT Human Genome U133A and U133B arrays.

2011-04-04 | E-GEOD-21212 | biostudies-arrayexpress

Effects of intermittent and chronic hypoxia on HAEC

Project description:Intermittent hypoxia (IH) in HeLa cell culture activates proinflammatory transcription factor NFκB, whereas chronic hypoxia (CH) does not. In order to determine whether IH may be linked to vascular inflammation, we developed a novel IH cell culture system and exposed HAEC (human aortic endothelial cells) to IH or CH. Keywords: Human Artery Endothelial Cells (HAEC)

2008-12-31 | GSE10723 | GEO

RNA-seq of primary aortic human endothelial cells before and after TNFα stimulation

Project description:To characterize the transcriptome of primary vascular endothelial cells (ECs) during TNFα-response, we performed total RNA-seq on primary human aortic ECs (HAEC), before and after TNFα (45 min. 10 ng/mL).

2020-06-01 | E-MTAB-7896 | biostudies-arrayexpress

Transcription profiling of human aortic endothelial cells, HAEC treated with TNF-alpha amplified aRNA samples vs unamplified RNA samples

Project description:Fidelity of TNF-alpha induced differential gene expression in amplified aRNA samples relative to unamplified RNA samples (human aortic endothelial cells, HAEC).

2005-08-19 | E-CBIL-3 | biostudies-arrayexpress

Leveraging cell-type specific regulatory networks to interpret genetic variations in abdominal aortic aneurysm

Project description:Abdominal aortic aneurysm (AAA) is a common degenerative cardiovascular disease without clear understanding of its pathobiology. To detect AAA associated variants that may affect gene regulation, we generated H3K27ac HiChIP data for aortic smooth muscle cells (AoSMC) and aortic endothelia cells (HAEC), the two cell types most relevant to the AAA disease. We further implemented cell type-specific REs defined from HiChIP experiments, and observed the consistency between the chromatin accessibility of REs and the expression levels of their target genes. Moreover, the cell type-specific REs contributed to detect the AAA most relevant cell type, AoSMC, and locate the important AAA-related TFs, ERG and KLF family.

2021-11-17 | GSE178598 | GEO

Gene expression in tissues of Mus musculus with innate immunity stimulation

Project description:This is an investigation of whole genome gene expression level in tissues of mice stimulated by LPS, FK565 or LPS + FK565 in vivo and ex vivo. We show that parenteral administration of a pure synthetic Nod1 ligand, FK565, induces site-specific vascular inflammation in mice, which is prominent in aortic root including aortic valves, slight in aorta and absent in other arteries. The degree of respective vascular inflammation is associated with persistent high expression of proinflammatory chemokine/cytokine genes in each tissue in vivo by microarray analysis, and not with Nod1 expression levels. The ex vivo production of proinflammatory chemokine/cytokine by Nod1 ligand is higher in aortic root than in other arteries from normal murine vascular tissues, and also higher in human coronary artery endothelial cells (HCAEC) than in human pulmonary artery endothelial cells (HPAEC), suggesting that site-specific vascular inflammation is at least in part ascribed to an intrinsic nature of the vascular tissue/cell itself.

2011-03-01 | GSE20930 | GEO

Erk-dependent transcriptome

Project description:Transcriptome analysis of ESCs harboring an 4OHT-inducible cRAF for 0h, 8h, 10h, or 8h followed by a 2h inhibition with a chemical inhibitor

2019-08-08 | GSE110662 | GEO

Exaggerated autophagy as molecular characterization of Stanford type A aortic dissection: A transcriptome analysis of human ascending aortic tissues

Project description:Purpose: The aim of this study is to have a fullscape of molecular pathology of Stanford type A aortic dissection Methods: All TAAD patients under consideration underwent an ascending aortic replacement surgery during a cardiopulmonary bypass. The normal ascending aortic tissue samples were obtained from patients undergoing coronary artery bypass grafting surgery (CABG) without any aortic diseases. We selected 20 samples (10 TAAD and 10 normal) for the whole transcriptome sequencing. Total RNA was extracted from each sample using TRIzol Reagent (ThermoFisher) and was stored in 1 mL of 75% ethanol at -80 ℃ until further usage. Conclusions: We identified exaggerated autophagy as a molecular biomarker for aortic dissection. We also predicted 10 hub genes and an HIF1A-ATG3 axis which could provide new insights in understanding aortic dissection.

2020-07-02 | GSE153434 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data