Cardiac organoid model of human myocardial infarction (batch2)
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA473541 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7230170.fastq.gz | Fastqsanger.gz | |||
| SRR7230171.fastq.gz | Fastqsanger.gz | |||
| SRR7230172.fastq.gz | Fastqsanger.gz | |||
| SRR7230173.fastq.gz | Fastqsanger.gz | |||
| SRR7230174.fastq.gz | Fastqsanger.gz |
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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:Cardiac organoid model of human myocardial infarction
| PRJNA454314 | 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: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: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
Project description:Immune cell infiltration in response to myocyte death contributes to extracellular matrix (ECM) remodeling and scar formation after myocardial infarction (MI). Caspase-recruitment domain protein 9 (CARD9) which belongs to CARD family acts as an adapter that mediate the transduction of proinflammatory signaling cascades in innate immunity. To investigate the role of CARD9 in cardiac injury and repair post ischemia, we subjected Card9 knockout mice to myocardial infarction (MI) , and then performed RNA-seq and gene expression profiling analysis using the ischemic cardiac tissues at 3 days post-MI, to identify key genes and pathways regulated by CARD9.
2023-10-25 | GSE235257 | GEO
Project description:Myocardial infarction is a leading cause of mortality worldwide 1 . While advances have been made
in acute treatment, an incomplete understanding of remodelling processes has limited the
effectiveness of therapies to reduce late-stage mortality 2 . Here, we generate an integrative high-
resolution map of human cardiac remodelling after myocardial infarction using single-cell gene
expression, chromatin accessibility, and spatial transcriptomic profiling of multiple physiological
zones at distinct time points in myocardium from myocardial infarction and control patients.
Multimodal data integration allowed us to evaluate cardiac cell-type compositions at increased
resolution, yielding insights into changes of the cardiac transcriptome and epigenome through the
identification of distinct tissue structures of injury, repair and remodelling. We identified and
validated disease-specific cardiac cell-states of major cell-types and analysed them in their spatial
context, evaluating their dependency on other cell-types. Our data elucidates molecular principles
of human myocardial tissue organisation, recapitulating a gradual cardiomyocyte and myeloid
continuum following ischemic injury. In total, our study provides an integrative molecular map of
human myocardial infarction and represents an essential reference for the field and paves the way
for advanced mechanistic and therapeutic studies of cardiac disease.
| EGAS00001006330 | EGA
Project description:Cardiac conduction system regeneration prevents arrhythmias after myocardial infarction
| PRJNA1030318 | ENA
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