RNA-seq transcriptome profiling and whole exome sequencing data on Hypertrophic cardiomyopathy (HCM) patients
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ABSTRACT:
PROVIDER: PRJNA675090 | ENA |
REPOSITORIES: ENA
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Project description:Using a high-throughput gene expression profiling technology, we have illuminated novel potential microRNA (miRNA) components of the molecular disease process underlying human hypertrophic cardiomyopathy (HCM). It is hoped that this will fuel future research endeavors that will eventually uncover the role miRNAs may play in the phenotypic heterogeneity of the disease, and thus, provide potential tools for identifying patients with benign versus malignant forms of the disease. Case (n = 107)-Control (n=20) study comparing the microRNA transcriptome of cardiac tissues from patients with hypertrophic cardiomyopathy to the microRNA transcriptome of control donor cardiac tissues.
2012-09-01 | E-GEOD-36946 | biostudies-arrayexpress
Project description:Using a high-throughput gene expression profiling technology, we have been able to develop new hypotheses regarding the molecular pathogenic mechanisms of human hypertrophic cardiomyopathy (HCM). It is hoped that these hypotheses, among others generated by this data, will fuel future research endeavors that will uncover novel biomarkers, prognostic indicators, and therapeutic targets to improve our ability to diagnose, counsel, and treat patients with this highly heterogeneous and potentially life-threatening condition. Case-control study comparing the messenger RNA transcriptome of cardiac tissues from patients with hypertrophic cardiomyopathy to the transcriptome of control donor cardiac tissues.
2012-09-01 | E-GEOD-36961 | biostudies-arrayexpress
Project description:MicroRNAs negatively regulate gene expression and may serve as biomarkers for human cardiomyopathy. In the domestic cat, hypertrophic cardiomyopathy (HCM) represents the most common primary cardiomyopathy. In humans, the etiology of HCM is linked to mutations in genes of contractile muscle proteins, while in cats a clear proof for causal mutations is missing. The etiology of feline HCM is uncertain. Diagnosis is made by heart ultrasound examination and measuring the serum level of N-terminal pro B-type natriuretic peptide. The purpose of this study was to investigate whether microRNA profiles in the serum of cats with HCM are different from the profiles of healthy cats and whether specific miRNAs can be detected to serve as potential biomarkers for feline HCM or may help in understanding the etiology of this disease Blood was drawn from two groups of cats: 12 healthy cats and 11 cats suffering from hypertrophic cardiomyopathy. After clotting, samples were centrifuged and total mRNA was extracted from serum. These 23 serum samples were analyzed and the groups were compared
2015-07-22 | E-GEOD-49427 | biostudies-arrayexpress
Project description:This study is to examine gene expression profiles in 18 HCM patients and compare them with those in 5 healthy controls. The hypothesis tested here is whether patient individual-level transcriptome data integrated with the human interactom can implicate the heterogenity of HCM phenotypes.In this study, we also analyze DNA whole-exome sequencing (WES) data from 18 patients.
2021-01-09 | GSE160997 | GEO
Project description:To understand the interplay between cardiomyocyte and nonmyocyte cell types in human obstructive and non-obstructive hypertrophic cardiomyopathy, single nuclei RNA-sequencing was performed on 2 unused donor hearts, 1 obstructive HCM specimen, and 6 non-obstructive HCM specimens.
2022-01-01 | GSE181764 | GEO
Project description:Using a high-throughput gene expression profiling technology, we have illuminated novel potential microRNA (miRNA) components of the molecular disease process underlying human hypertrophic cardiomyopathy (HCM). It is hoped that this will fuel future research endeavors that will eventually uncover the role miRNAs may play in the phenotypic heterogeneity of the disease, and thus, provide potential tools for identifying patients with benign versus malignant forms of the disease.
2012-09-01 | GSE36946 | GEO
Project description:Using a high-throughput gene expression profiling technology, we have been able to develop new hypotheses regarding the molecular pathogenic mechanisms of human hypertrophic cardiomyopathy (HCM). It is hoped that these hypotheses, among others generated by this data, will fuel future research endeavors that will uncover novel biomarkers, prognostic indicators, and therapeutic targets to improve our ability to diagnose, counsel, and treat patients with this highly heterogeneous and potentially life-threatening condition.
2012-09-01 | GSE36961 | GEO
Project description:Hypertrophic cardiomyopathy (HCM) represents one of the most common heritable heart diseases. However, the signalling pathways and regulatory networks underlying the pathogenesis of HCM remain largely unknown. Here, we present a strand-specific RNA-seq dataset for both coding and lncRNA profiling in myocardial tissues from 28 HCM patients and 9 healthy donors. This dataset constitutes a valuable resource for the community to examine the dysregulated coding and lncRNA genes in HCM versus normal conditions.
2019-04-19 | GSE130036 | GEO
Project description:Hypertrophic cardiomyopathy (HCM) is the most common inherited heart disease, and its pathogenesis is still being intensively studied to explain the reasons of significant genetic and phenotypic heterogeneity of the disease. To search for possible HCM modifier genes involved in the HCM development we first attempted to analyze gene expression profile coupled with DNA methylation profile in the hypertrophied myocardium of HCM patients; the control group consisted of patients with aortic stenosis. The transcriptome analysis identified significant differences in levels of 193 genes, most of which were underexpressed in HCM. The methylome analysis revealed 1755 nominally significant differentially methylated positions (DMPs), mostly hypomethylated in HCM. The clear differences in DNA methylation profiles between the studied groups indicate the involvement of this process in the formation of primary left ventricle hypertrophy in HCM. Based on gene ontology enrichment analysis, the majority of biological processes, overrepresented by both differentially expressed genes (DEGs) and DMP-containing genes, are involved in the regulation of locomotion and muscle structure development. The intersection of 193 DEGs and 978 DMP-containing genes pinpointed eight genes, expression of which differed between studied groups and correlated with methylation levels of the neighboring DMPs. Half of these genes (AUTS2, GIGYF1, PRRT1, and SLC17A7) were found underexpressed in HCM and involved in neurogenesis and synapse functioning. Our data suggesting the possible involvement of innervation-associated genes in HCM provide additional insights in the disease pathogenesis and expand the field of further research.
2022-12-14 | GSE207095 | GEO
Project description:Hypertrophic cardiomyopathy (HCM) is the most common inherited heart disease, and its pathogenesis is still being intensively studied to explain the reasons of significant genetic and phenotypic heterogeneity of the disease. To search for possible HCM modifier genes involved in the HCM development we first attempted to analyze gene expression profile coupled with DNA methylation profile in the hypertrophied myocardium of HCM patients; the control group consisted of patients with aortic stenosis. The transcriptome analysis identified significant differences in levels of 193 genes, most of which were underexpressed in HCM. The methylome analysis revealed 1755 nominally significant differentially methylated positions (DMPs), mostly hypomethylated in HCM. The clear differences in DNA methylation profiles between the studied groups indicate the involvement of this process in the formation of primary left ventricle hypertrophy in HCM. Based on gene ontology enrichment analysis, the majority of biological processes, overrepresented by both differentially expressed genes (DEGs) and DMP-containing genes, are involved in the regulation of locomotion and muscle structure development. The intersection of 193 DEGs and 978 DMP-containing genes pinpointed eight genes, expression of which differed between studied groups and correlated with methylation levels of the neighboring DMPs. Half of these genes (AUTS2, GIGYF1, PRRT1, and SLC17A7) were found underexpressed in HCM and involved in neurogenesis and synapse functioning. Our data suggesting the possible involvement of innervation-associated genes in HCM provide additional insights in the disease pathogenesis and expand the field of further research.
2022-06-30 | GSE206978 | GEO