Browse
Submit Data
Databases
API
Help

Dataset Information

21 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Exome sequencing in patients with Calcific Aortic Valve Stenosis

ABSTRACT: The objective is to identify new genes involved in calcific aortic valve stenosis (CAVS) by screening the exome of at least 20 patients with familial CAVS. The recruitment of patients with CAVS has been achieved by l’institut du thorax (Nantes, France). DNA from the selected patients has been analysed by exome capture (Agilent SureSelect) and massively parallel sequencing (Illumina). The data generated by this project will lead to the identification of candidate genes involved in CAVS, which can be further screened for mutation in additional patients with CAVS.

PROVIDER: EGAS00001000049 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

Targeted sequencing of candidate genes in calcific aortic valve stenosis

Project description:The objective is to identify new disease genes involved in calcific aortic valve stenosis (CAVS) by screening newly identified candidate genes. The recruitment of patients with CAVS has been achieved by l’institut du thorax (Nantes, France). DNA from the selected patients has been analysed by targeted capture (Agilent SureSelect) and massively parallel sequencing (Illumina).

| EGAS00001000308 | EGA

EGAS00001000308-sc-2019-08-21T10:35:19Z - samples

| EGAD00001005275 | EGA

Metabolomics Characterization of Human Calcific Aortic Valve Stenosis

Project description:BACKGROUND: 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.METHODS: 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.RESULTS: 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.CONCLUSIONS: 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.

2020-02-03 | MTBLS1267 | MetaboLights

MicroRNA profiling in aortic stenosis

Project description:We compared 15 severely diseased aortic valve sample to 16 control aortic valve samples using microRNA microarrays (Affymetrix GeneChip miRNA 2.0). The diseased samples were taken from areas of severe disease of aortic valves removed at aortic valve replacement for severe aortic stenosis. Control samples were obtained from macroscopically normal post-mortem aortic valves. In addition, we compared areas of mild or moderate disease on valves from participants with severe aortic stenosis to the same participant's severely diseased sample in seven participants.

2017-04-27 | E-MTAB-2766 | biostudies-arrayexpress

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

Development of gene expression signatures of ascending aorta of the patients with bicuspid aortic valve compared to tricuspid aortic valve.

Project description:Bicuspid aortic valve is well known as a risk factor of dilation of ascending aorta. But the mechanisms of dialation are unknown. Morever, patients with bicuspid aortic valve tend to be aortic valve disease at younger age. After aortic valve surgery, if ascending aorta is dilated, the patient must be performed re-operation. For that reason, surgery for aortic root or ascending aorta is recommended to patient with bicuspid aortic valve with dilated ascending aorta. We thought that abnormality of cell cycle of the structure protein participated in ascending aorta dilation of patient with bicuspid aortic valve. We resected the wall of the ascending aota from patient undergoing aortic valve replacement for aortic valve stenosis during operation, and performed immunohistochemical staining for akt. Anti Akt antibodys were stained much on aortic media with bicuspoed aortic valve. Akt is a protein that is involved in mTOR / PI3K, and modulate the cell differenciation and proliferation. Further, the same samples were analyzed using a microarray method. On bicuspid aortic valve patients, the expression of TSC2 is reduced, and GβL is increased. TSC2 inhibit this pathway, and MLST8 activate this pathway. In the ascending aorta of BAV patients, PI3K / mTOR system is considered to be activated. When this pathway is activated, cell proliferation and cytodifferentiation are promoted abnormally,

2017-06-30 | GSE83675 | 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

Exploring the expression pattern of circRNA in the aortic valve

Project description:Calcific Aortic Valve Disease (CAVD) is a common heart valve condition, often characterized by severe narrowing of the aortic valve. It lacks pharmaceutical treatments and typically requires aortic valve replacement surgery, imposing a significant burden on healthcare resources.This study reports the expression profile of circRNAs in the aortic valve tissues of CAVD patients and a normal control group (non-CAVD). We collected aortic valve tissue samples from three CAVD patients who underwent aortic valve replacement surgery due to severe aortic valve stenosis, as well as aortic valve samples from non-CAVD patients who either received heart transplant surgery (recipient heart) or had their aortic valve removed due to aortic dissection. Overall, our research reveals the significant role of circRNAs in the progression of CAVD. CircRNAs, a class of circular non-coding RNA molecules, are actively studied for their functions and regulatory mechanisms within cells. These findings contribute to a deeper understanding of the molecular mechanisms underlying CAVD, particularly the potential involvement of circRNAs in this disease.

2024-02-02 | GSE254393 | GEO

mRNA profiling in aortic stenosis

Project description:We compared mRNA profiles of 10 participants with severe aortic stenosis undergoing aortic valve replacement to 10 samples donated post-mortem.

2017-04-27 | E-MTAB-3105 | biostudies-arrayexpress

Protein profiling of left ventricular tissue of patients with aortic valve disease

Project description:We aimed to disclose specific LV myocardial protein signatures possibly contributing to differential disease progression after aortic valve surgery in patients with chronic aortic stenosis and patients with chronic aortic regurgitation.

2023-05-10 | PXD039662 | Pride

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