Cardiac organoid model of human myocardial infarction
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA454314 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7084853.fastq.gz | Fastqsanger.gz | |||
| SRR7084854.fastq.gz | Fastqsanger.gz | |||
| SRR7084855.fastq.gz | Fastqsanger.gz | |||
| SRR7084856.fastq.gz | Fastqsanger.gz | |||
| SRR7084857.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Cardiac organoid model of human myocardial infarction (batch2)
| PRJNA473541 | ENA
Project description:While human organoid systems have provided a powerful platform in modeling diseases caused by genetic disorders, non-genetic factors, such as lifestyle and environment, are the largest attributable factors to devastating diseases like cardiovascular disease (CVD), the leading cause of death worldwide. Specifically, myocardial infarction (MI) (i.e., heart attack) makes up ~8.5% of CVD and is a common cause of heart failure with a 40% five-year mortality after the first MI. This highlights an urgent need to develop relevant human heart failure models for drug development. This is further evidenced by the disappointing performance of heart failure drugs in clinical trials during the last decade, which has been partially attributed to the distinct differences between human patient hearts and animal heart failure models. Here, we combined major non-genetic causal factors of MI with our previously established cardiac organoids to create the first human organoid model of cardiac infarction. In particular, we leveraged the diffusion limitation in 3D microtissues to recreate the nutrient diffusion gradient across infarcted hearts (i.e., infarct-border-remote zones) in human cardiac organoids to induce cardiac organotypic response to infarction. This enabled the recapitulation of major MI hallmarks in human cardiac organoids at the transcriptomic, structural and functional level.
2020-04-14 | GSE113871 | GEO
Project description:While human organoid systems have provided a powerful platform in modeling diseases caused by genetic disorders, non-genetic factors, such as lifestyle and environment, are the largest attributable factors to devastating diseases like cardiovascular disease (CVD), the leading cause of death worldwide. Specifically, myocardial infarction (MI) (i.e., heart attack) makes up ~8.5% of CVD and is a common cause of heart failure with a 40% five-year mortality after the first MI. This highlights an urgent need to develop relevant human heart failure models for drug development. This is further evidenced by the disappointing performance of heart failure drugs in clinical trials during the last decade, which has been partially attributed to the distinct differences between human patient hearts and animal heart failure models. Here, we combined major non-genetic causal factors of MI with our previously established cardiac organoids to create the first human organoid model of cardiac infarction. In particular, we leveraged the diffusion limitation in 3D microtissues to recreate the nutrient diffusion gradient across infarcted hearts (i.e., infarct-border-remote zones) in human cardiac organoids to induce cardiac organotypic response to infarction. This enabled the recapitulation of major MI hallmarks in human cardiac organoids at the transcriptomic, structural and functional level.
2020-04-14 | GSE115031 | GEO
Project description:Mouse myocardial infarction cardiac proteome sequencing
2024-06-18 | PXD053227 |
Project description:The aims of the experiment were to profile the cell types in the adult mouse cardiac interstitium (non-myocyte cells) and how they respond to myocardial infarction injury. Adult, male, Pdgfra +/GFP mice were subject to either a myocardial infarction or sham injury, with cells isolated from cardiac ventricles 3 or 7 days following surgery. We obtained scRNA-seq profiles of two cell fractions: total interstitial (non-myocyte) cell population (TIP) and FACS-sorted GFP+/Cd31- cells (GFP).
2019-03-28 | E-MTAB-7376 | biostudies-arrayexpress
Project description:Biological Relevance and Intent of the Experiment: The objective of this study is to elucidate the role of Cdk1 in cardiac function, specifically its contribution to cardiomyocyte proliferation and response to injury. Using a heart-specific Cdk1 knockout mouse model, we investigate the molecular and cellular impact of Cdk1 deficiency in the context of myocardial infarction (MI). Cdk1 is known for its regulatory functions in cell cycle progression, and its absence may significantly affect cardiac repair mechanisms post-MI. This research aims to explore whether the lack of Cdk1 impairs cardiomyocyte regeneration or promotes maladaptive remodeling, leading to compromised cardiac function.
2024-12-02 | E-MTAB-14508 | biostudies-arrayexpress
Project description:Introduction: Coronary atherosclerotic heart disease is an important, worldwide burden on human health. Central muscle infarction is the most dangerous condition, has the highest mortality and disability rates, and is gradually becoming more common among young people. After myocardial infarction, neutrophils recruited to the infarcted area promote the myocardial inflammatory response by releasing proinflammatory factors and chemokines and release matrix metalloproteinases and myeloperoxidases that degrade the extracellular matrix and produce reactive oxygen species, resulting in irreversible myocardial damage and thereby promoting ventricular remodeling. Methods: In this study, we constructed a mouse model of myocardial infarction and utilized the CXCR2 receptor inhibitor navarixin (Nav) to reduce neutrophil recruitment after MI. Results: We observed that Nav improved cardiac function, reduced myocardial damage, reduced neutrophil infiltration, reduced inflammatory factor expression and improved cardiac fibrosis in mice. Through transcriptomic analysis, we found that Nav affects signaling pathways such as the innate immune response and the chemokine signaling pathway, thereby decreasing the inflammatory response by reducing neutrophil chemotaxis. Discussion: This study provides new insights for the use of CXCR2 inhibitors as new therapeutic options for myocardial infarction in the future.
2025-03-11 | GSE291292 | GEO
Project description:Cardiac hypertrophy can lead to heart failure, and is induced either by physiological stimuli eg postnatal development, chronic exrcise training or pathological stimuli eg pressure or volume overload. This data set looks at microRNA profiles in mouse models to examine whether phosphoinositide 3-kinase (p110 alpha isoform) activity is critical for the maintenance of cardiac function and long term survival in a seeting of heart failure (myocardial infarction). The significance and expected outcome are to recognise genes involved in models of heart failure and attempt to examine underlying regulator pathways involved in possible cardica maintenance in the PI3K mouse model. The matching mRNA gene expression profile (GSE7487) is examined to look for mRNA and microRNA interactions. miRNA expression correlates directly with cardiac function. PI3K regulon ameliorates cardiac stress. Keywords: microRNA profiling, regulatory pathway discovery, genotype comparison Ntg (non-transgenics), dnPI3K (cardiac-specific transgenic model with reduced PI3K activity) and caPI3K (transgenic mice with increased PI3K activity) mice at 3-4 months of age were used. Mice were then subjected to myocardial infarction (occlusion of the left anterior descending aorta) and sham (open heart surgery) for 8 weeks. Left ventricles were harvested. The resulting 6 experimental models were profiled accordingly. The assignment of the mouse models is as follows: caPI3K Sham, Ntg Sham, dnPI3K Sham, caPI3K MI (myocardial infarction), Ntg MI and dnPI3K MI with n = 4 in each group.
2010-05-06 | E-GEOD-14267 | biostudies-arrayexpress
Project description:To investigate the transcriotome alteration in myocardial infarction (MI)-associated cells, we performed RNA sequcening analysis with single cells derived from mouse infarcted cardiac tissues or normal left ventricle (LV). Particularly, cardiac endothelial cells (ECs) were traced using a Cdh5-Cre;LSL-tdTomatom system.
2022-03-01 | GSE163956 | GEO
Project description:To investigate the transcriotome alteration in endothelial cells (ECs) under a myocardial infarction (MI) condition, we performed RNA sequcening analysis with sorted ECs derived from mouse infarcted cardiac tissues or normal left ventricle (LV).
2021-12-31 | GSE163772 | GEO