Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The human pericardial fluid is enriched with cardiovascular-expressed microRNAs

ABSTRACT: The pericardial fluid (PF) surrounds the heart and it is contained in the pericardial sac. PF contains myocardial-derived factors. MicroRNAs (miRNAs) are negative post-transcriptional regulators of their target genes and they can be released into extracellular vesicles (EVs) contributing to cell-to-cell communication. We hypothesize that the PF contains miRNAs of myocardial origin and that represents a niche for the exchange of miRNAs between heart cells. In order to investigate whether PF contains functionally active miRNAs, miRNA expression profiles on PF samples collected from three patients undergoing aortic valve replacement (AVR) surgery performed during cardiopulmonary-bypass (CPB), were genereted.

ORGANISM(S): Homo sapiens

PROVIDER: GSE80577 | GEO | 2017/06/10

SECONDARY ACCESSION(S): PRJNA319341

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Pericardial fluid exosome miRNA profiling

Project description:Pericardial sac surrounding the heart contains pericardial fluid (PF), which is rich in exosomes. PF exosomes increase angiogenesis in hypoxic endothelial cells and in animal model of hindlimb ischemia by passing the proangiogenic miRNAs to recipient cells. However, under pathological conditions such as diabetes, exosome cargo composition changes and harmful miRNAs can be transferred to the recipient cells and induce more deleterious effects in target tissues. In order to check cargo composition of different PF exosomes, we used PF exosomes from non-diabetic aortic valve replacement (AVR), mitral valve replacement (MVR), coronary artery bypass grafting (CABG) patients and CABG patients with diabetes.

2020-12-31 | GSE118103 | GEO

Pericardial Fluid of Patients with Coronary Artery Disease Can Drive Fibrosis via TGF-Beta Signalling Pathway

Project description:Pericardial fluid (PF) helps maintain homeostatic conditions that facilitate optimal heart function. We have yet to understand how cardiovascular pathologies affect the profile of PF. We hypothesized that human PF contains immune markers that can be affected by different pathologies and contribute to inflammatory-mediated processes, such as fibrosis. PF was collected from patients undergoing cardiac surgery. Multiplex analysis was performed to determine the composition of inflammatory markers and soluble mediators. A gel contraction assay was used to investigate the fibrotic potential of PF. RNA-sequencing was used to elucidate the mechanisms driving the pro-fibrotic properties of PF. With the results of these multiple approaches we show that the acellular component of PF has pro-fibrotic characteristics and suggest putative mechanisms that can explain such observations.

2024-12-06 | GSE262161 | GEO

Proteomics analysis of human pericardial fluid

Project description:Pericardial fluid (PF) is considered as biochemical window of heart. Knowledge of the entire protein content, the proteome of human PF, would give insights into heart and cardiovascular diseases. To date, there have been limited attempt to perform an in-depth analysis of the PF proteome. In this study, a SDS-PAGE-LC-MS/MS platform was utilized to explore abundant protein-depleted PF samples and showed great coverage of low-abundance proteins. In total, 1,007 non-redundant proteins were identified with at least two peptides, generating the first human PF proteome. Data processing: The mass spectra were searched using MaxQuant (v1.2.2.5) against the human subset of the Uniprot database (2012/05/16), which contains 87,187 entries. The search parameters were set as follows: peptide (parent ion) tolerance of 20 ppm, fragment ion tolerance of 0.5 Da, two missed cleavages were allowed, fixed modification of carbamidomethylation on Cys (+57 Da), and a differential modification of oxidation on Met (+16 Da). The false discovery rates (FDR) for both peptides and proteins were evaluated by searching against the combined database with the reversed amino acid sequence, and calculated by MaxQuant. To get high-confidence peptide and protein identifications, the cutoffs used were 1% for peptides and 1% for proteins. Absolute protein amounts were calculated as the sum of all peptide peak intensities divided by the number of theoretically observable tryptic peptides (intensity based absolute quantification, or iBAQ).

2013-07-09 | PXD000194 | Pride

Characterization of pericardial fluid proteome through fractionation with magnetic nanoparticles (NPs@EDTA)

Project description:Despite the invasive nature of its collection, being in close contact to the heart, the pericardial fluid (PF) proteome reflects the pathophysiological status of this organ. Therefore, whenever it is available, e.g. on occasion of open-heart surgery, PF proteomic analysis can give important clues of the molecular mechanisms underlying heart disease and it may help uncover new diagnostic/prognostic markers as well as new therapeutic targets. Still, the characterization of its protein fraction is challenged by large amounts of albumin, that can be relatively higher than in plasma/serum. To help expand the PF catalogued to date and to validate the technique for future applications, we have fractionated and characterized the pericardial fluid, using N-(trimethoxysilylpropyl)ethylenediamine triacetic acid (EDTA)-functionalized magnetic nanoparticles (NPs@EDTA) followed by a GeLC-MS/MS approach. As compared to a traditional albumin and IgG-depletion kit, we found this method to be as efficient in removing albumin, with similar inter-individual proteome variability. Furthermore, the NPs@EDTA-based fractionation approach could expand the protein dynamic range and displayed good proteome reproducibility. Overall, 565 proteins were identified, with more than half being new assignments to PF proteome.

2018-01-09 | PXD008620 | Pride

A carrier-based quantitative proteomics method applied to biomarker discovery in pericardial fluid

Project description:Data-dependent liquid chromatography tandem mass spectrometry (LC-MS/MS) is challenged by the large concentration range of proteins in plasma and related fluids. We adapted the SCoPE method from single-cell proteomics to pericardial fluid, where a myocardial tissue carrier was used to aid protein quantification. The carrier proteome and patient samples were labeled with distinct isobaric labels, which allowed separate quantification. Undepleted pericardial fluid from patients with type 2 diabetes mellitus and/or heart failure undergoing heart surgery was analyzed with either a traditional LC-MS/MS method or with the carrier proteome. In total, 1398 proteins were quantified with a carrier, compared to 265 without, and a higher proportion of these proteins were of myocardial origin. The number of differentially expressed proteins also increased nearly four-fold. For patients with both heart failure and type 2 diabetes mellitus, pathway analysis of upregulated proteins demonstrated enrichment of immune activation, blood coagulation, and stress pathways. Overall, our work demonstrates the applicability of a carrier for enhanced protein quantification in challenging biological matrices such as pericardial fluid, with potential applications for biomarker discovery.

2024-07-31 | PXD053450 | Pride

Unique angiogenesis from cardiac arterioles during pericardial adhesion formation

Project description:The molecular mechanisms underlying postoperative pericardial adhesions are poorly understood. We aimed to unveil the temporal molecular and cellular mechanisms underlying tissue dynamics during adhesion formation, including inflammation, angiogenesis, and fibrosis. Using a previously established murine model, we successfully visualized the cell-based tissue dynamics during pericardial adhesion and discovered a unique angiogenic process for the induction of fibrosis. Masson’s trichrome staining revealed that collagen production was promoted from the fourth day after cardiac injury inflicted by talc injection into the pericardial cavity. A high degree of adhesion formation was observed during the stages in which collagen production was promoted. Histological analysis demonstrated that arterioles excessively sprouted from pericardial tissues in mice as well as in humans. The combination of RNA-seq and histological analyses revealed that hyperproliferative endothelial cells and myofibroblasts appeared in cytokine-exposed sprouting vessels and adhesion tissues, but not in quiescent vessels in the heart. Additionally, vascular smooth muscle cells were dedifferentiated from the contractile to the synthetic phenotype in heart tissue, and matrix metalloproteinase-dependent tissue remodeling in the pre-angiogenic stage potentially contributed to neovascularization and fibrosis in the pericardial cavity. Our findings will assist in developing prevention strategies for pericardial adhesions by targeting the recruitment of vascular cells from heart tissues.

2022-01-10 | GSE182735 | GEO

Pericardial fluid microRNAs in patients with arrhythmogenic right ventricular cardiomyopathy or ischemic heart disease

Project description:Pericardial fluid is enriched by biologically active molecules of cardiovascular origin including microRNAs. Investigation of the disease-specific extracellular microRNAs could shed light on the molecular processes underlying disease development. Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart disease characterized by life-threatening arrhythmias and progressive heart failure development. The current data about the association between microRNAs and ARVC development are limited. We performed small RNA sequence analysis of microRNAs of pericardial fluid samples obtained during transcutaneous epicardial access for ventricular tachycardia (VT) ablation of six patients with definite ARVC and three post-infarction VT patients. Disease-associated microRNAs of pericardial fluid were identified. Enrichment analysis of differentially expressed microRNAs revealed their close linkage to cardiac diseases.

2021-03-09 | GSE164490 | GEO

Characteristic molecular signature of pericardial effusion identifies malignant cancer in pericardial disorder patients

Project description:we examined 24 pericardial effusion patients and obtained pericardial fluid. To identify novel biomarker for detection cancer, detected transcriptome-based molecualr signature of compare pathologic cancer patients and non-cancer patients.

2019-12-31 | GSE118385 | GEO

Expression data from pericardial and subcutaneous adipose tissue and adipocytes

Project description:To better characterize the role of PCAT in the pathogenesis of disease, we performed a large-scale unbiased analysis of the transcriptional differences between pericardial and subcutaneous adipose tissue, analysing 53 microarrays across 19 individuals. Patients who underwent elective coronary artery bypass grafting and/or cardiac valve replacement surgeries participated in the study. Pericardial adipose tissue and subcutaneous adipose tissue were harvested from patients.

2011-02-01 | E-GEOD-26339 | biostudies-arrayexpress

Expression data from pericardial and subcutaneous adipose tissue and adipocytes

Project description:To better characterize the role of whole pericardial adipose tissue (PCAT) in the pathogenesis of disease, we performed a large-scale unbiased analysis of the transcriptional differences between pericardial and subcutaneous adipose tissue, analysing 53 microarrays across 19 individuals.

2011-02-01 | GSE26339 | GEO

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