Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

81641b07-aa6e-41fa-b2e7-8ac1feb48478 - samples

ABSTRACT: The dataset contains valuable genomic data from a discovery cohort consisting of 29 individuals. This cohort is comprised of 8 healthy individuals (control), 8 patients with ST-segment elevation myocardial infarction (STEMI), 7 patients with non-ST-segment elevation myocardial infarction (NSTEMI), and 6 patients with unstable angina (UA). The genomic data was obtained by isolating cell-free circulating DNA (ccfDNA) and subjecting it to bisulfite conversion using a low-input BS-seq (PBAT) protocol. Sequencing was done on the Novaseq 6000 platform.

PROVIDER: EGAD00001010935 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

Assessment and Diagnostic Relevance of Novel Serum Biomarkers for Early Decision of ST-elevation Myocardial Infarction

Project description:We aim to determine blood transcriptome-based molecular signature of acute coronary syndrome (ACS), and to identify novel serum biomarkers for early stage ST-segment-elevation myocardial infarction (STEMI) We obtained peripheral blood from the patients with ACS who visited emergency department within 4 hours after the onset of chest pain: ST-elevation myocardial infarction (STEMI, n=7), Non-ST-elevation MI (NSTEMI, n=10) and unstable angina (UA, n=9), and normal control (n=7)

2015-05-23 | E-GEOD-60993 | biostudies-arrayexpress

Altered gene expression pattern in peripheral blood mononuclear cells in patients with acute myocardial infarction

Project description:Despite a substantial progress in diagnosis and therapy, acute myocardial infarction (MI) is a major cause of mortality in the general population. A novel insight into the pathophysiology of myocardial infarction obtained by studying gene expression should help to discover novel biomarkers of MI and to suggest novel strategies of therapy. The aim of our study was to establish gene expression patterns in leukocytes from acute myocardial infarction patients. ST-segment elevation myocardial infarction alters expression of several groups of genes. On admission, several genes and pathways that could be directly or indirectly linked with lipid/glucose metabolism, platelet function and atherosclerotic plaque stability were affected (signaling of PPAR, IL-10, IL-6). Analysis at discharge highlighted specific immune response (upregulation of immunoglobulins). Highly significant and substantial upregulation of SOCS3 and FAM20 genes expression in the first 4-6 days of myocardial infarction in all patients is the most robust observation of our work Twenty-eight patients with ST-segment elevation myocardial infarction (STEMI) were included. The blood was collected on the 1st day of myocardial infarction, after 4-6 days, and after 6 months. Control group comprised 14 patients with stable coronary artery disease (CAD), without history of myocardial infarction. Gene expression analysis was performed with Affymetrix GeneChipM-BM-. Human Gene 1.0 ST microarrays and GCS3000 TG system.

2014-10-23 | E-GEOD-62646 | biostudies-arrayexpress

Incidence of cardiovascular events in patients with esophageal/stomach or colorectal cancer treated by trifluridine/tipiracil +/- oxaliplatin after an episode of cardiac angina-related thoracic pain in the adjuvant or metastatic setting.

Project description:Primary objectives: To assess the rate of cardiovascular events in patients treated with trifluridine/tipiracil +/- oxaliplatin over a 3-month period.Cardiovascular events are defined as follows:- Acute coronary syndrome without ST segment elevation,- Acute coronary syndrome with ST segment elevation,- Acute myocardial infarction,- Heart failure,- Arrhythmia (atrial fibrillation, flutter, junctional tachycardia, ventricular tachycardia), - Cardiovascular death,- Sudden death of any cause. Primary endpoints: The rate of cardiovascular events at 3 months

| 2540778 | ecrin-mdr-crc

f5bc4bc1-c177-427f-b260-3cd93afbf360 - samples

Project description:The dataset consists of targeted sequencing data obtained from an independent cohort of 11 patients to validate discriminative DMRs (differentially methylated regions) for Acute coronary syndrome (ACS) subtypes. The cohort includes 2 healthy subjects, 4 STEMI (ST-segment elevation myocardial infarction), 3 NSTEMI (non-ST-segment elevation myocardial infarction), and 2 UA (unstable angina) patients. The sequencing panel targeted 18,831 CpGs for analysis, reaching at least 5 reads coverage for 75% of the targeted CpGs in each sample. The sequencing was performed using the NEBNext Enzymatic Methyl-seq Module and the Nonacus Cell3TMTarget: Library Preparation kit, followed by probe hybridization, capture enrichment, and sequencing on the Novaseq 6000 platform, generating 400 million reads. The dataset is in raw fastq format.

| EGAD00001010934 | EGA

miR-619-5p and cardiogenic shock in patients with ST-Segment-Elevation Myocardial Infarction

Project description:Affymetrix microarray (GeneChip microRNA 4.0) profilling of circulating miRNAs. We used miRNA arrays to profile miRNAs isolated from plasma of ST-segment elevation acute myocardial infarction (STEMI)-patients with cardiogenic shock (CS) or without cariogenic shock (Non-CS)

2024-03-26 | GSE254068 | GEO

Expression data from blood samples of STEMI and Same STEMI patients after PIC

2015-05-23 | GSE61144 | GEO

Assessment and Diagnostic Relevance of Novel Serum Biomarkers for Early Decision of ST-elevation Myocardial Infarction

2015-05-23 | GSE60993 | GEO

Characterization of the platelet transcriptome by RNA sequencing in patients with acute myocardial infarction.

Project description:Recent technological advances have made transcriptome sequencing (RNA-seq) possible in cells with low RNA copy number including platelets. Resulting studies have used RNA-seq in platelets isolated from healthy individuals to characterize the platelet transcriptome. However, platelets, possibly through gene expression changes, contribute to the etiology of and response to cardiovascular disease and events. To address this, we performed the largest human platelet RNA-seq analysis to date in 34 platelet samples: 16 ST-segment elevation myocardial infarction (STEMI), 16 non-STEMI (NSTEMI), and 2 controls. RNA-seq of platelet samples from 34 individuals: 16 with ST-elevation myocardial infarction (STEMI), 16 with non-STEMI, and 2 non-myocardial infarction controls

2015-09-15 | E-GEOD-65705 | biostudies-arrayexpress

Expression data from blood samples of STEMI and Same STEMI patients after PIC

Project description:We aim to determine blood transcriptome-based molecular signature of acute coronary syndrome (ACS), and to identify novel serum biomarkers for early stage ST-segment-elevation myocardial infarction (STEMI) We obtained peripheral blood from the patients with ACS who visited emergency department within 4 hours after the onset of chest pain: a set of blood samples of patients with STEMI (n=7) before and 7 days after the primary percutaneous coronary intervention (n=7) and normal control (n=10)

2015-05-23 | E-GEOD-61144 | biostudies-arrayexpress

Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure

Project description:Heart failure (HF) is the most common cause of morbidity and mortality in the developed countries, especially considering the present demographic tendencies in those populations. We identified biologically relevant transcripts that are significantly altered in the early phase of myocardial infarction (MI) and are associated with the development of post-myocardial infarction HF. We collected peripheral blood samples from patients (n=111) with ST-segment elevation myocardial infarction (STEMI) at four time points (admission, discharge, 1 month after MI, and 6 months after MI). Control group comprised patients (n=46) with a stable coronary artery disease and without a history of myocardial infarction. Affymetrix HuGene 1.0 ST arrays were used to analyze mRNA levels in periperal blood mononuclear cells (PBMCs) isolated from the study and control groups. Samples from the first three time points were compared with the samples from the same patients collected 6 months after MI (stable phase) and with the control group. Additionaly, based on plasma NT-proBNP level and left ventricular ejection fraction parameters the STEMI patients were divided into HF and non-HF groups.We attempted to identify transcripts whose differential expression on the 1st day of myocardial infarction predicted which patients would develop symptoms of HF during the 6 months of follow-up. For this purpose, we compared the microarray results for samples collected on admission for the HF group versus the non-HF group.

2015-05-21 | E-GEOD-59867 | 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