Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Spatial transcriptomic of EAT and Atrial appendage from patienst with Atrial Fibrillation

ABSTRACT: To examine biological changes and regionality dictating structural remodelling in Atrial Fibrillation, we performed NanoString GeoMx Digital Spatial Profiling (DSP) of tissue biopsies from AF and SR patients. Regions were selected from adipose tissue and atrail appendage tissue close or far apart from tissue interphase.

ORGANISM(S): Homo sapiens

PROVIDER: GSE261363 | GEO | 2024/07/19

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Changes of ubiquitylated proteins in atrial fibrillation associated with heart valve disease: proteomics in human in left appendage tissue

Project description:Atrial fibrillation (AF) is the most common persistent arrhythmia that affect 1–2% of the general population. People with AF display an array of complications cardiogenic stroke and systemic embolism caused by hemodynamic instability and blood hypercoagulability in clinical practice. However, it’s still unclear whether and how ubiquitylated proteins react to AF in the left atrial appendage of patients with AF and valvular heart disease. This theory focuses on the changes of ubiquitylated proteins in atrial fibrillation associated with heart valve disease. We firstly widely analysis the proteins ubiquitination in patients with atrial fibrillation.

2021-12-24 | PXD030397 | Pride

Regional transcriptomics of a human left atrium and implications for atrial fibrillation

Project description:Regional differential expression of atrial fibrillation risk genes in the left atrium and pulmonary veins is not well studied, but may yield insights into atrial fibrillation pathogenesis. We tested the hypothesis that there is significant regional differential expression in left atrium structures. RNAseq was performed in 25 regions within the pulmonary veins (n=12), left atrial body (n=10), and left atrial appendage (n=3) from a 75 year old male with hypertension and atrial fibrillation who died of a stroke. These data show that genes involved in atrial fibrillation pathogenesis have substantial regional expression heterogeneity, particularly when comparing the left atrial body, pulmonary veins and left atrial appendage.

2020-11-14 | GSE161450 | GEO

Right atrial tissue gene expression data from human patients in sinus rhythm (SR) and patients whom post-operative atrial fibrillation (POAF) developed

Project description:To identify pathway and mechanism undergoing post operative atrial fibrillation, we check transcriptomic expression of patients with and without post operative atrial fibrillation development and compare up and down regulated genes and their pathways. Right atrial appendage were obtained from patients undergoing cardiac surgery.

2017-10-30 | GSE62871 | GEO

Comparison of atrial appendage tissues of patients with Valvular Heart Disease and patients with Valvular Heart Disease-Atrial Fibrillation

Project description:Atrial fibrillation (AF) is the most common heart arrhythmia disease. The greatest risk of atrial fibrillation is stroke, and stroke caused by valvular heart disease with atrial fibrillation (AF-VHD) is more serious. the development mechanism from VHD to AF-VHD is not yet clear. The research on expression profiles of lncRNA and mRNA is helpful to explore molecular mechanism in patients with valvular heart disease who develop atrial fibrillation.

2018-04-12 | GSE113013 | GEO

Valvular heart disease and atrial fibrillation regulate microRNA expression profiles in left and right atria differently

Project description:Background: Chronic atrial fibrillation (AF) is a complication associated with the dilated atria of patients with valvular heart disease and contributes to worsened pathology. Methods and Results: Using microarray technology, we examined microRNA (miR) expression profiles in right and left atrial appendage tissue from valvular heart disease (VHD) patients. Right atrial appendage from patients undergoing coronary artery bypass grafting (CABG) and left atrial (LA) appendage from healthy hearts not used for transplant were used as controls. VHD induced different changes in miR expression in LA compared with right atria (RA). Fifty-two (52) miRs were altered by VHD in LA, compared with 5 in RA tissue. There was no detectable effect of chronic AF on miR expression in LA tissue, but miR expression in RA was strongly influenced by AF, with 47 miRs showing differential expression. LA volume correlated with miR expression changes in both LA and RA, but the affected miRs were different for the two atrial groups. Conclusions: VHD and AF influence miR expression patterns in LA and RA, but these are affected differently by disease progression and by the development of AF. These findings provide new insights into the progression of VHD. RA tissue is not a useful surrogate for LA in studies of mitral valve disease. 34 arrays from either the left or right atrium from patients with Valvular Heart Disease (VHD), patients undergoing coronary artery bypass grafting (CABG), or healthy controls. Arrays in this series were generated on V2 and V3 Agilent microRNA arrays and analysed in combination.

2011-12-21 | E-GEOD-28954 | biostudies-arrayexpress

Atrial Fibrillation After Surgery for Colorectal Cancer

Project description:This study will report the incidence of atrial fibrillation after elective colorectal cancer resection in the over 65 age group. This will be used to validate a risk model for the development of post-operative atrial fibrillation. Eligible patients will undergo electrocardiogram based screening for atrial fibrillation, as well as brain natriuretic peptide tests prior to surgery. They will undergo 24 hour holter monitor prior to surgery, and at 30 and 90 days following surgery. The primary outcome will be occurrence of atrial fibrillation within 90 days of surgery. Secondary outcomes include quality of life change, use of hospital services for atrial fibrillation, and complications of atrial fibrillation. This will be used to validate the pre-existing model for prediction of atrial fibrillation.

| 2312263 | ecrin-mdr-crc

Valvular heart disease and atrial fibrillation regulate microRNA expression profiles in left and right atria differently

2011-12-21 | GSE28954 | GEO

Atrial fibrillation is associated with altered left-to-right atria gene expression ratio: implications for arrhythmogenesis and thrombogenesis

Project description:Background: Atrial fibrillation (AF) causes atrial remodeling, and the left atrium (LA) is the favored substrate for maintaining AF. However, it remains unclear if AF remodels both atria differently and contributes to LA arrhythmogenesis and thrombogenesis. Results: AF was associated with differential LA-to-RA gene expression related to specific ion channels and pathways as well as upregulation of thrombogenesis-related genes in the LA appendage. Targeting the molecular mechanisms underlying the LA-to-RA difference and AF-related remodeling in the LA appendage may help provide new therapeutic options in treating AF and preventing thromboembolism in AF. Paired left atrial and right atrial specimens were obtained from 13 patients with persistent AF receiving valvular surgery. The Paired specimens were sent for microarray comparison. Selected results were validated by quantitative real time-PCR (q-PCR) and Western blotting. Ultrastructural changes in the atria were evaluated by immunohistochemistry.

2016-08-09 | E-GEOD-79768 | biostudies-arrayexpress

Atrial Fibrillation Patient's Urine miRNA Microarray

Project description:Analysis for early diagnosis of atrial fibrillation by finding changes in miRNA in the urine of patients with atrial fibrillation

2021-12-16 | GSE190898 | GEO

Atrial fibrillation is associated with altered left-to-right atria gene expression ratio: implications for arrhythmogenesis and thrombogenesis

2016-08-09 | GSE79768 | 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