Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Wild-type and O/E uPA in mouse aortic arches_PROTOMAP

ABSTRACT: Aortic arches from WT and overexpression of uPA were extracted and their proteome was processed and subjected to PROTOMAP analysis.

INSTRUMENT(S): LTQ

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Heart

SUBMITTER: Melissa Dix

LAB HEAD: Benjamin Cravatt

PROVIDER: PXD020406 | Pride | 2020-08-10

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	AE2104_01.RAW	Raw
	AE2104_01.sqt	Other
	AE2104_02.RAW	Raw
	AE2104_02.sqt	Other
	AE2104_03.RAW	Raw

Items per page:

1 - 5 of 352

Publications

Parallel Murine and Human Plaque Proteomics Reveals Pathways of Plaque Rupture.

Vaisar Tomáš T Hu Jie H JH Airhart Nathan N Fox Kate K Heinecke Jay J Nicosia Roberto F RF Kohler Ted T Potter Zachary E ZE Simon Gabriel M GM Dix Melissa M MM Cravatt Benjamin F BF Gharib Sina A SA Dichek David A DA

Circulation research 20200730 8

<h4>Rationale</h4>Plaque rupture is the proximate cause of most myocardial infarctions and many strokes. However, the molecular mechanisms that precipitate plaque rupture are unknown.<h4>Objective</h4>By applying proteomic and bioinformatic approaches in mouse models of protease-induced plaque rupture and in ruptured human plaques, we aimed to illuminate biochemical pathways through which proteolysis causes plaque rupture and identify substrates that are cleaved in ruptured plaques.<h4>Methods a ...[more]

PMID: 32762496

Similar Datasets

Comparison of aortic and aortic valve endothelial cells in static and shear environments

Project description:Porcine aortic and aortic valve endothelial cells were exposed to 20 dynes/cm2 steady laminar shear stress with static cultures serving as controls. Total RNA was hybridized to Agilent Human 1 cDNA arrays and processed using the Agilent Feature Extraction Software Keywords = aortic valve Keywords = endothelial Keywords = shear stress Keywords: other

2005-07-30 | GSE1637 | 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

Gene expression in aortic roots of wild type versus klotho-deficient mice at 6 weeks of age

Project description:Klotho-deficient mice develop aortic valve annulus calcification by 6 weeks of age. Understanding the molecular basis by which aortic valve calcification is initiated will help define potential molecular targets which may be inhibited to reduce or prevent aortic valve calcification. Changes in gene expression related to aortic valve annulus calcification were analyzed by comparing gene expression in the aortic roots from wild type versus klotho-deficient mice.

2015-03-16 | GSE52794 | GEO

Microarray-based gene expression on human aortic valves

Project description:Calcified aortic valve leaflets (CAVs) were explanted from patients with severe aortic valve stenosis undergoing aortic valve replacement at the Department of Cardiovascular Surgery, Union Hospital, affiliated to Tongji Medical College. Control non-calcified aortic valves with normal echocardiographic analyses were obtained during heart transplant procedures. RNA was extracted from valve leaflets and gene expression evaluated using the Arraystar Human mRNA Array. This study aimed to perform the expression analysis of mRNA on human aortic valves.

2020-07-26 | GSE155119 | GEO

Transcriptional Profiles of Aortic Valve from Calcific Aortic Valve Disease and Normal Control.

Project description:We report transcriptional profiles of aortic valve tissue from calcific aortic valve disease (CAVD) and normal control (non-CAVD). We collected the aortic valve tissues from five patients with CAVD who underwent aortic valve replacement due to severe aortic valve stenosis. Aortic valve samples from patients with non-calcified aortic valve resection due to heart transplantation (recipient heart) or aortic dissection were collected as the control (non-CAVD). The inclusion criteria for CAVD group were as follows: 50-75 years old; undergoing aortic valve replacement due to severe AVS with significantly valvular calcification. The inclusion criteria for non-CAVD group were as follows: non-calcified aortic valve resection due to heart transplantation (recipient heart) or aortic dissection. For each sample, total RNA was extracted, a cDNA library was generated, and an Illumina NovaSeq 6000 was used to sequence each sample. Stringtie software was used to count the fragment within each gene, and TMM algorithm was used for normalization. Differential expression analysis was performed using R package edgeR. Differentially expressed RNAs with |log2(FC)| value >1, q value [false discovery rate (FDR) adjusted P-value] <0.05, and one group’s mean fragments per kilobase of exon per million reads mapped (FPKM) >1, were assigned as differentially-expressed genes (DEGs).

2023-06-28 | GSE235995 | GEO

Microarray-based gene expression on human aortic valves

Project description:Aortic valves are collected from patients with severe aortic valve stenosis undergoing aortic valve replacement at the Institut universitaire de cardiologie et de pneumologie de Québec (IUCPQ), Quebec City, Canada. From this biobank collection, transcriptomic analyses from 240 aortic valves were performed. All valves were tricuspid and had a fibro-calcific remodeling score of 3 or 4. RNA was extracted from valve leaflets and gene expression evaluated using the Illumina HumanHT-12 v4 Expression BeadChip. The main objective of this study was to perform a large-scale expression quantitative trait loci (eQTL) mapping study on human aortic valves.

2018-03-14 | GSE102249 | GEO

Aortic Aneurysm iTRAQ HiRIEF proteomics

Project description:Conducted proteomics on samples from patients with aortic aneurysm and from non-dilated controls. Furthermore, we investigated both patients with bicuspid aortic valves (BAV) and also the more normal tricuspid aortic valves (TAV). The aim was to elucidate the molecular mechanisms behind the higher propensity of BAV patients to develop aorta dilation and consequent aortic aneurysm.

2017-03-31 | MSV000080837 | MassIVE

Metabolomics Characterization of Human Calcific Aortic Valve Stenosis

Project description:<p><strong>BACKGROUND:</strong> Calcific aortic valve stenosis (CAVS) is the most prevalent valvular heart disease in developed countries with significant morbidity and mortality. Given the poor understanding of the pathophysiological processes leading to CAVS, we utilized a joint non-targeted metabolomics and targeted lipidomics approach to better characterize the metabolic perturbations involved in its development and progression.</p><p><strong>METHODS:</strong> We collected human aortic valve tissue from 106 patients undergoing aortic valve replacement surgery. Our cohort represented aortic valvular hemodynamics from mild to severe aortic stenosis with varying degrees of valvular calcification.</p><p><strong>RESULTS:</strong> Seventy-two significantly differential (p<0.01) metabolites across different stages of CAVS severity were filtered and identified from the tissue metabolome. Each stage of valvular stenosis was characterized by a distinct metabolic signature. The top three perturbed metabolic pathways in the setting of CAVS involved glycerophospholipid metabolism, linoleic acid metabolism and primary bile acid biosynthesis. The lysophosphatidic acid species (LysoPA) exhibited significant (p<0.05) association with CAVS severity and were also found to select patients with accelerated rate of CAVS progression. Two LysoPA species namely, 18:2 LysoPA and 20:4 LysoPA, exhibited potential to serve as biomarkers of CAVS severity.</p><p><strong>CONCLUSIONS:</strong> The present study reports the largest and most comprehensive metabolomics analysis of human aortic valve stenosis that highlights the dysregulated LysoPA pathway involved in the pathogenesis of CAVS.</p>

2020-02-03 | MTBLS1267 | MetaboLights

Gene expression from healthy male and female porcine aortic valve leaflets

Project description:Calcific aortic valvular disease (CAVD) is characterized by sclerosis of the aortic valve leaflets and recent clinical studies have linked several other risk factors to this disease, including male sex. In this study we examined potential sex-related differences in gene expression profiles between porcine male and female valvular interstitial cells (VICs) to explore possible differences in CAVD propensity on the cellular level. RNA samples from three male and three female healthy porcine aortic valve leaflets (denuded of endothelial cells) were isolated, processed, and hybridized to AffymetrixM-BM-. GeneChip Porcine Genome microarrays according to manufacturerM-bM-^@M-^Ys instructions. Mean expression values of each probe set in the male samples were compared with those in the female samples.

2013-01-02 | E-GEOD-33654 | biostudies-arrayexpress

Transcription profiling of aortic samples from newborn and 6 week old C57/black6 wild type mice

Project description:Aortic samples ranging from the aortic valve to the diaphragm were harvested from 15 newborn and 15 six-week old C57/black6 wildtype mice. Frozen samples of 5 animals each were pulverized and directly dissolved in RNA pure (PeqLab) to get three samples for each group. Total RNA was isolated using phenol/chloroform extraction.<br><br>For gene-expression analysis, 500 ng total RNA of each RNA sample was labeled using the Agilent single-color Quick-Amp Labeling Kit and hybridized on Agilent Whole Mouse Genome Microarrays (4x44K). For<br><br>analysis of microRNA, 200 ng total RNA of each sample was labeled using the Agilent miRNA Labeling Reagent and Hyb Kit, and hybridized on Agilent Mouse miRNA Microarrays (8x15K) according to the manufacturer's instructions.

2010-08-01 | E-MEXP-2342 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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