128_human_DCM_cases_RNAseq
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR752517_1.fastq.gz | Fastqsanger.gz | |||
| ERR752517_2.fastq.gz | Fastqsanger.gz | |||
| ERR752518_1.fastq.gz | Fastqsanger.gz | |||
| ERR752518_2.fastq.gz | Fastqsanger.gz | |||
| ERR752519_1.fastq.gz | Fastqsanger.gz |
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Project description:The microtubule (MT) cytoskeleton can provide a mechanical resistance that can impede the motion of contracting cardiomyocytes. Yet a role of the MT network in human heart failure is unexplored. Here we utilize mass spectrometry to characterize changes to the cytoskeleton in human heart failure. Proteomic analysis of left ventricle tissue reveals a consistent upregulation and stabilization of intermediate filaments and MTs in human heart failure. This dataset includes left ventricular (LV) myocardium from 34 human hearts – either non-failing (NF) or failing hearts. NF hearts are subdivided into normal or compensated hypertrophy (cHyp), while failing hearts are subdivided into ischemic cardiomyopathy (ICM), dilated cardiomyopathy (DCM), and hypertrophic cardiomyopathy with preserved or reduced ejection fraction (HCMpEF and HCMrEF, respectively). Further details on patient classification and in vivo parameters on each heart are listed in sample details.txt.
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Project description:End stage heart failure due to ischemic cardiomyopathy (ICM) and dilated cardiomyopathy (DCM) have similar characteristics, enlargement of the ventricles, relatively thin-walled ventricle, which leads to a limited contraction force and blood loading. Nevertheless, the response for present therapeutics is very variable and the prognosis is still very bad for ICM and DCM in general. Thus, the ability to differentiate the etiologies of heart failure based structural and physiological changes of the heart would be a step forward to enhance the specificity and the success of given therapy.
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Project description:Dilated cardiomyopathy (DCM) is characterized by left ventricular dilation and continuous systolic dysfunction. Mitochondrial impairment is critical in DCM, but the mechanism remains to be elucidated. Here we explored the cardio-protective role of a heart-enriched long non-coding RNA (lncRNA), named dilated cardiomyopathy repressive transcript (DCRT), via maintaining mitochondrial function. We found the lncRNA DCRT was highly enriched in normal heart tissue and its expression was significantly down-regulated in myocardium of DCM patients. DCRT knockout in mice spontaneously developed cardiac dysfunction with cardiac enlargement and mitochondrial impairment. DCRT transgenic or overexpressed mice attenuated cardiac dysfunction induced by transverse aortic constriction (TAC) treatment.
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Project description:We wanted to see whether the set of affected genes in ischemic cardiomyopathy (ICM) is the same or different as compared to dilated cardiomyopathy (DCM). To find this out, we placed the single DCM sample on the same microarray slide with the ICM samples. Analysis of microarray data with ICM samples only showed 63 affected genes, while that carried out with 2 ICM samples PLUS one DCM sample reduced this number to just four genes. From this result we conclude that ICM and DCM affect different sets of genes in ventricular myocytes. Keywords: Expression profiling by array From the associated publication: To find out whether the splice microarray results reported in Table 3 are disease-type specific, we supplemented the same splice microarray of ICM ventricular myocytes with one additional sample prepared from left ventricle of a 41-years old dilated cardiomyopathy male donor. The top-list ANOVA gene score annotation for combined altered CE&P genes in ventricular myocytes (Table 3) was reduced from 63 to just 4 genes (FXYD1 (Gfold = +2.4), HCN2 (-1.5), GLRA1 (-1.8) and GJC1 (-2.3)).
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Project description:To investigate the physiological characteristics of cardiac fibroblasts (CF) from pediatric dilated cardiomyopathy (DCM) patients, CFs were harvested from left ventricular free wall at the heart transplantation. We then performed RNA-seq for 7 different lines of CFs.
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Project description:Heart disease is associated with re-expression of key transcription factors normally active only during prenatal development of the heart. However, the impact of this reactivation on the genome-wide regulatory landscape in heart disease has remained obscure. Here we show that pervasive epigenomic changes occur in heart disease, with thousands of regulatory sequences reacquiring fetal-like chromatin signatures. We used RNA-seq and ChIP-seq targeting a histone modification associated with active transcriptional enhancers to generate genome-wide enhancer maps from left ventricle tissue from 18 healthy controls and 18 individuals with idiopathic dilated cardiomyopathy (DCM). Healthy individuals had a highly reproducible epigenomic landscape, consisting of more than 31,000 predicted heart enhancers. In contrast, we observed reproducible disease-associated gains or losses of activity at more than 7,500 predicted heart enhancers. Next, we profiled human fetal heart tissue by ChIP-seq and RNA-seq. Comparison with adult tissues revealed that the heart disease epigenome and transcriptome both shift toward a fetal-like state, with more than 3,400 individual enhancers sharing fetal regulatory properties. Our results demonstrate widespread epigenomic changes in DCM, and we provide a comprehensive data resource (http://heart.lbl.gov) for the mechanistic exploration of heart disease etiology.
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Project description:Heart disease is associated with re-expression of key transcription factors normally active only during prenatal development of the heart. However, the impact of this reactivation on the genome-wide regulatory landscape in heart disease has remained obscure. Here we show that pervasive epigenomic changes occur in heart disease, with thousands of regulatory sequences reacquiring fetal-like chromatin signatures. We used RNA-seq and ChIP-seq targeting a histone modification associated with active transcriptional enhancers to generate genome-wide enhancer maps from left ventricle tissue from 18 healthy controls and 18 individuals with idiopathic dilated cardiomyopathy (DCM). Healthy individuals had a highly reproducible epigenomic landscape, consisting of more than 31,000 predicted heart enhancers. In contrast, we observed reproducible disease-associated gains or losses of activity at more than 7,500 predicted heart enhancers. Next, we profiled human fetal heart tissue by ChIP-seq and RNA-seq. Comparison with adult tissues revealed that the heart disease epigenome and transcriptome both shift toward a fetal-like state, with more than 3,400 individual enhancers sharing fetal regulatory properties. Our results demonstrate widespread epigenomic changes in DCM, and we provide a comprehensive data resource (http://heart.lbl.gov) for the mechanistic exploration of heart disease etiology.
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