Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Integrated Analysis of Dysregulated lncRNA and mRNA Expression profiles of myocardial sleevesof pulmonary veins in atrial fibrillation

ABSTRACT: Atrial fibrillation (AF) is currently the most prevalent arrhythmia worldwide.Recent clinical data implicate the additional contribution of non-coding RNAs in the pathogenesis of AFï¼which include microRNAs(miRNAs), endogenous small interfering RNAs, PIWIinteracting RNAs, and lncRNA. Notably, a growing number of lncRNAs have been implicated in disease etiology, although an association with AF has not been reported. In the present study, we conducted an integrated analysis of dysregulated lncRNA and mRNA expression profiles in myocardial sleevesof pulmonary veins between the patients who develop AF and the patients who were in normal sinus rhythm, which was performed using a second generation lncRNA microarrayï¼focusing specifically on the identification and characterization of lncRNAs and mRNA potentially involving in maintaining atrial fibrillation. We conducted an integrated analysis of myocardial sleeves of pulmonary veinsï¼PVsï¼from 12 patients (6 non-AF and 6AF) in our center, of which hypertension, diabetes, smoking and alcohol abuse were excluded, using a second generation lncRNA microarray

ORGANISM(S): Homo sapiens

SUBMITTER: zhi li

PROVIDER: E-GEOD-76899 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Atrial fibrillation (AF) is the most common sustained arrhythmia characterized by rapid and multiple irregular excitations within the atria. AF is associated with serious morbidity and increased mortality, and its prevalence is prospected to increase as society ages. The limited therapeutic efficacy of AF treatment as well as its high socioeconomic burden makes AF a major clinical challenge. Despite our expanding knowledge of individual proteins and pathways involved in the complex pathophysiology of atrial fibrillation (AF), an unbiased overview of proteins and functionally enriched biological processes as well as their crosstalk is lacking. Here, we performed an explorative proteomics analysis to reveal the global abundance of proteins in cardiac tissue of patients, and deciphered functionally grouped gene ontologies (GO) to uncover a perspective of the disease biology driving or driven by AF. A total of 2703 proteins were identified by liquid chromatography coupled to tandem mass spectrometry. Among them, 150 proteins (accounting for 5.6% of 2703) had a significantly altered abundance (100 proteins increased and 50 decreased) in AF. A significant biological connection was found between those (protein-protein interaction enrichment p-value=1.0e-16). GO enrichment analysis showed that these 150 proteins were mainly located in extracellular/cytoplasmic vesicles, mitochondrion, and cytoskeletal compartments. Correspondingly, the 100 proteins increased in AF were significantly enriched in the GO terms related to immune system, metabolic process, iron process, ECM disassembly, mitochondrial translation and apoptotic signaling. Partially clustered proteins with dense functional link were found in immune system and metabolic process, and were respectively annotated in neutrophil degranulation, and oxoacid metabolic process coupled to the subunits of mitochondrial dehydrogenase NADH. Those processes enriched in AF had crosstalk via the proteins involved in neutrophil degranulation. Selected proteins such as LCN2 (neutrophil degranulation), CA3 (immune system), NDUFS2 (complex I) and MYH10 (actin motor protein) were validated by western blot or qPCR in an independent cohort. The 50 proteins decreased in AF were collectively enriched in vesicle-mediated transport and actin filament-based movement. We demonstrate that important biological processes underlying persistent AF as well as their crosstalk via the components of neutrophil degranulation. Our study provides a novel insight for a more efficient targeting strategy for AF treatment.

Dataset Information

Integrated Analysis of Dysregulated lncRNA and mRNA Expression profiles of myocardial sleevesof pulmonary veins in atrial fibrillation

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure