Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Serial transcriptomic analysis of mouse acute myocardial infarction

ABSTRACT: Serial transcriptomic analysis of mouse acute myocardial infarction

PROVIDER: PRJNA759871 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR15700466_1.fastq.gz	Fastqsanger.gz
	SRR15700466_2.fastq.gz	Fastqsanger.gz
	SRR15700467_1.fastq.gz	Fastqsanger.gz
	SRR15700467_2.fastq.gz	Fastqsanger.gz
	SRR15700468_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 60

Similar Datasets

Serial transcriptomic analysis of mouse acute myocardial infarction

Project description:Serial transcriptomic analysis of mouse acute myocardial infarction

2022-03-01 | GSE183272 | GEO

Transciptome analysis of acute myocardial infarction

Project description:Analysis of peripheral blood specimens from patients with acute myocardial infarction (AMI). Results provide insight into molecular mechanisms associated with AMI.

2018-12-08 | GSE123487 | GEO

Ckmt2 for Evaluating Reperfusion Injury in Acute Myocardial Infarction

Project description:Mitochondrial Creatine Kinase 2 (Ckmt2) as a Plasma-Based Biomarker for Evaluating Reperfusion Injury in Acute Myocardial Infarction

2024-10-17 | PXD055738 | Pride

Transciptome analysis of acute myocardial infarction

Project description:Transciptome analysis of acute myocardial infarction

| PRJNA508899 | ENA

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

Post Acute Myocardial Infarction Left Ventricular Remodeling Bio marker Analysis (PAMILA)

Project description:Patients with acute myocardial infarction (a condition classified under coronary heart disease, including STEMI and NSTEMI) are at high risk for recurrent ischemic events, but the pathways and factors which contribute to this elevated risk are incompletely understood. This study aims to identify biomarkers associated with acute myocardial infarction through various omics strategies. For the identified biomarkers, we aim to demonstrate prognostic value, and predict/stratify the risks of adverse cardiovascular events (e.g., stroke, heart failure, death).

2021-08-15 | ST001908 | MetabolomicsWorkbench

Differential gene expression profiles in peripheral blood in Northeast Chinese Han people with acute myocardial infarction

Project description:The genes had different expression between healthy people and acute myocardial infarction.We aimed to identify the differentially expressed genes involved in acute myocardial infarction in Northeast Chinese Han people. We used microarrays to detail the global programme of gene expression to identify the differentially gene between the patients with acute myocardial infarction and healthy people in Northeast Chinese Han people

2017-04-04 | GSE97320 | GEO

Temporal transcriptional changes in human monocytes following acute myocardial infarction: The GerMIFs monocyte expression study

Project description:Monocytes play a central role in the inflammatory response that follows acute myocardial infarction (MI). In order to study phenotypic adaptation of this cell type, we investigated patterns of monocyte gene expression in circulating monocytes at various stages of MI. Circulating monocytes were isolated from venous blood of MI patients at three time points: t1: within 6 hours after onset of chest pain (acute phase), t2: 3 days after MI (subacute phase), t3: 90 days after MI (chronic phase). For comparison, we studied a control group (n=21, data to be submitted later) with stable coronary artery disease. Using this transcriptomic analysis, we aimed to provide a more comprehensive reference of monocyte biology following acute MI and to aid in the identification of novel pathways and genes influencing the course of MI. Monocytes play a central role in the inflammatory response that follows acute myocardial infarction (MI). In order to study phenotypic adaptation of this cell type, we investigated patterns of monocyte gene expression in circulating monocytes at various stages of MI. Circulating monocytes were isolated from venous blood of MI patients at three time points: t1: within 6 hours after onset of chest pain (acute phase), t2: 3 days after MI (subacute phase), t3: 90 days after MI (chronic phase). For comparison, we studied a control group (n=21, data to be submitted later) with stable coronary artery disease. Illumina Ref-8 v3.0 microarray arrays were used for whole-genome transcriptional profiling.

2012-04-30 | E-GEOD-28454 | biostudies-arrayexpress

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

2014-10-23 | GSE62646 | GEO

Platelet gene expression profiling of acute myocardial infarction

Project description:Platelet gene expression profiling of acute myocardial infarction

| PRJNA429475 | ENA