Gene expression data from the heart during regeneration in a zebrafish model of heart failure
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ABSTRACT:
ORGANISM(S): Danio rerio
PROVIDER: GSE120962 | GEO | 2021/01/20
REPOSITORIES: GEO
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Project description:The use of anthracycline antibiotics such as doxorubicin (DOX) has greatly improved the mortality and morbidity of cancer patients. However, the associated risk of cardiomyopathy has limited their clinical application. DOX-associated cardiotoxicity is irreversible and progresses to heart failure (HF). For this reason, a better understanding of the molecular mechanisms underlying these adverse cardiac effects is essential to develop improved regimes that include cardioprotective strategies. MicroRNAs (miRNAs) are short non-coding RNAs that are able to post-trascriptionally regulate gene expression. MiRNAs have been demonstrated to be involved in both cancer and cardiovascular disease. Therefore, we were interested in unveiling the potential role of miRNAs in chemotherapy-induced HF. We used a combination of three different models to recreate this cardiac toxicity (acute in vitro DOX treatment, DOX-induced HF in vivo and a myocardial infarction -MI- leading to failure model) to study the pattern of dysregulated miRNAs. Using RNA from all three conditions, miRNA microarray profiling was performed and a common miRNA signature was identified. Interestingly, these dysregulated miRNAs have been previously identified as involved in the failing heart. Our results suggest that DOX is able to alter the expression of miRNAs implicated in HF, in vitro as well as in vivo. The present study is a microRNA profiling of the damaged cardiac muscle (cardiomyocyte cell population), following either myocardial infarction (MI) induction or doxorubicin (DOX) treatment. Two DOX-treated models were included: ARC exposed to DOX in vitro and a validated DOX-induced heart failure model generated by repeated administration of DOX injections.
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Project description:MicroRNA profiling of myocardium of ovine comparing normal (Control), paced-induced heart failure (HF) and heart failure recovery (HF-R) after discontinuation of pacing.
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Project description:Heart failure (HF) is driven via interplay between master regulatory transcription factors and dynamic alterations in chromatin structure. While pathologic gene transactivation in this context is known to be associated with recruitment of histone acetyl-transferases and local chromatin hyperacetylation, the role of epigenetic reader proteins in cardiac biology is unknown. We therefore undertook a first study of acetyl-lysine reader proteins, or bromodomains, in HF. Using a chemical genetic approach, we establish a central role for BET-family bromodomain proteins in gene control during HF pathogenesis. BET inhibition potently suppresses cardiomyocyte hypertrophy in vitro and pathologic cardiac remodeling in vivo. Integrative transcriptional and epigenomic analyses reveal that BET proteins function mechanistically as pause-release factors critical to activation of canonical master regulators and effectors that are central to HF pathogenesis and relevant to the pathobiology of failing human hearts. This study implicates epigenetic readers in cardiac biology and identifies BET co-activator proteins as therapeutic targets in HF. Gene expression analysis of mouse hearts subjected to either trans aortic constriction (TAC) or sham surgeries followed by treamtent with dmso vehicle or the BET bromodomain inhibitor JQ1
2013-08-06 | E-GEOD-48110 | biostudies-arrayexpress
Project description:Numerous murine models of heart failure (HF) have been described, many of which develop progressive deterioration of cardiac function. We have recently demonstrated that several of these can be "rescued" or prevented by transgenic cardiac expression of a peptide inhibitor of the beta-adrenergic receptor kinase (betaARKct). To uncover genomic changes associated with cardiomyopathy and/or its phenotypic rescue by the betaARKct, oligonucleotide microarray analysis of left ventricular (LV) gene expression was performed in a total of 53 samples, including 12 each of Normal, HF, and Rescue. Multiple statistical analyses demonstrated significant differences between all groups, and further demonstrated that betaARKct Rescue returned gene expression toward that of Normal. In our statistical analyses, we found that the HF phenotype is blindly predictable based solely on gene expression profile. To investigate the progression of HF, LV gene expression was determined in young mice with mildly diminished cardiac function and in older mice with severely impaired cardiac function. Interestingly, mild and advanced HF mice shared similar gene expression profiles and, importantly, the mild HF mice were predicted as having a HF phenotype when blindly subjected to our predictive model described above. These data not only validate our predictive model, but further demonstrate that, in these mice, the HF gene expression profile appears to already be set in the early stages of HF progression. Thus, we have identified methodologies that have the potential to be used for predictive genomic profiling of cardiac phenotype, including cardiovascular disease.
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