Gender dependent differences in molecular electrophysiological targets in failing and nonfailing human hearts
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Christina Ambrosi
PROVIDER: E-GEOD-33165 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Previous epidemiological studies have shown that males tend to have an increased overall lifetime risk of developing atrial fibrillation (AF), whereas females tend to be more susceptible to the development of ventricular tachyarrhythmias resulting from long-QT syndrome and drug-induced Torsades de Pointes. In this study, we compared the transcript-level expression of 89 ion channel subunits, calcium handling proteins, and other transcription factors in the left atria (LA) and ventricles (LV) of human hearts of both genders.
2012-02-01 | GSE33165 | GEO
Project description:Background: Although chamber specialization is critical for proper cardiac function, a comprehensive, genome-wide analysis of the cardiac transcriptome, including identification of regional differences in mRNA and lncRNA expression patterns for the four chambers and interventricular septum of the non-failing human heart, has not been performed. Methods and Results: mRNA and long noncoding RNA (lncRNA) transcriptional profiling of the left (LA) and right (RA) atria, left (LV) and right (RV) ventricles, and the interventricular septum (IVS) of non-failing human hearts (N=8) was performed by deep sequencing. Analysis of the mRNA and lncRNA expression profiles revealed that the different regions of the heart are distinct. Differential expression analysis of paired tissue samples identified 5,747 mRNAs and 2,794 lncRNAs with chamber-enriched expression patterns. The largest differences in mRNA and lncRNA expression were evident between atria and ventricular samples, including regional differences in ~20% of all cardiac expressed mRNA and lncRNA transcripts. Regional differences in mRNA and lncRNA expression were also evident, although to a lesser extent, between the LA and RA, and between the LV, RV and IVS. Gene ontology classification of differentially expressed gene sets revealed regional differences in chamber specialization, including differences in signaling, metabolism, and muscle contraction. Sex differences in mRNA and lncRNA gene expression profiles were also identified between male and female LA and RA samples. Conclusions: There are marked regional differences in the mRNA and lncRNA expression profiles in non-failing adult human heart, and are associated with chamber specialization.
2018-10-16 | GSE112339 | GEO
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.
2018-06-06 | PXD008934 | Pride
Project description:Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited cardiomyopathy primarily of the right ventricle characterized through fibrofatty replacement of cardiomyocytes. The genetic etiology in ARVC patients is most commonly caused by dominant inheritance and high genetic heterogeneity. Though histological examinations of ARVC affected human myocardium reveals fibrolipomatous replacement, the molecular mechanisms leading to loss of cardiomyocytes are largely unknown. We therefore analyzed the transcriptomes of 6 ARVC specimen derived from heart transplantation candidates and compared our findings to 6 non-failing donor hearts (NF) which could not be transplanted for technical reasons. In addition, we compared our findings to 7 hearts from patients with idiopathic dilated cardiomyopathy. From each heart left (LV) and right ventricular (RV) myocardial samples were analyzed by Affymetrix HG-U133 Plus 2.0 arrays, adding up to six sample groups. Unsupervised cluster analyses of the six sample groups revealed a clear separation of NF and cardiomyopathy samples. However, in contrast to the other samples, unsupervised cluster analyses revealed no distinct expression pattern in LV and RV samples from ARVC-hearts. We further identified differentially expressed transcripts using t-tests and found transcripts separating diseased and NF ventricular myocardium. Of note, in failing myocardium only about 15-16% of the genes are commonly regulated compared to NF samples. In addition both cardiomyopathies are clearly distinct on the transcriptome level. Comparison of the expression patterns between the failing RV and LV using a paired t-test revealed a lack of major differences between LV and RV gene expression in ARVC hearts. Microarrays were used to elucidate the differences between non-failing control hearts and those, suffering from arrhythmogenic right ventricular cardiomyopathy (ARVC).
2011-11-30 | E-GEOD-29819 | biostudies-arrayexpress
Project description:Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited cardiomyopathy primarily of the right ventricle characterized through fibrofatty replacement of cardiomyocytes. The genetic etiology in ARVC patients is most commonly caused by dominant inheritance and high genetic heterogeneity. Though histological examinations of ARVC affected human myocardium reveals fibrolipomatous replacement, the molecular mechanisms leading to loss of cardiomyocytes are largely unknown. We therefore analyzed the transcriptomes of 6 ARVC specimen derived from heart transplantation candidates and compared our findings to 6 non-failing donor hearts (NF) which could not be transplanted for technical reasons. In addition, we compared our findings to 7 hearts from patients with idiopathic dilated cardiomyopathy. From each heart left (LV) and right ventricular (RV) myocardial samples were analyzed by Affymetrix HG-U133 Plus 2.0 arrays, adding up to six sample groups. Unsupervised cluster analyses of the six sample groups revealed a clear separation of NF and cardiomyopathy samples. However, in contrast to the other samples, unsupervised cluster analyses revealed no distinct expression pattern in LV and RV samples from ARVC-hearts. We further identified differentially expressed transcripts using t-tests and found transcripts separating diseased and NF ventricular myocardium. Of note, in failing myocardium only about 15-16% of the genes are commonly regulated compared to NF samples. In addition both cardiomyopathies are clearly distinct on the transcriptome level. Comparison of the expression patterns between the failing RV and LV using a paired t-test revealed a lack of major differences between LV and RV gene expression in ARVC hearts.
2011-11-30 | GSE29819 | GEO
Project description:The objective is to generate a robust and validated predictor profile for chemotherapy response in patients with mCRC using microarray gene expression profiles of primary colorectal cancer tissue. To define a gene signature of response to chemotherapy in metastatic colorectal cancer, samples were obtained from 40 patients from Marques de Valdecilla Hospital who underwent primary surgery. Gene expression was detected and quantified using the Human Whole Genome U133 Plus 2.0 array (Affymetrix), containing 54675 human gene probes. The validation set consisted of 119 samples from Hospital Virgen del Rocio, Seville, Spain; Hospital Virgen de la Victoria, Malaga, Spain; Hospital de la Merced, Osuna, Spain and Hospital MarquM-CM-)s de Valdecilla, Santander, Spain, and included 86 tumor samples (40 coming from the training set and 46 from newly treated CRC patients) and 33 normal tissue samples of CRC patients used as controls. Custom-designed TaqManM-BM-. Low Density Arrays (TLDA) 7900 HT Micro Fluidic Cards including the 161 genes selected for validation were run and analyzed by the ABI PRISMM-BM-. 7900HT Sequence Detection System (SDS 2.2, Applied Biosystems) according to manufacturer's protocol (Applied Biosystems). Expression of target miRNAs was normalized in relation to the expression of GAPDH. Cycle threshold (Ct) values were calculated using the SDS software v.4.2 using automatic baseline settings and a threshold of 0.2. Relative quantification of gene expression was calculated by the 2M-bM-^HM-^RM-NM-^TCt method (Applied Biosystems user bulletin no. 2 (P/N 4303859)). This submission represents the RT-PCR component of the study only
2013-11-20 | E-GEOD-52513 | biostudies-arrayexpress
Project description:Arrhythmogenic cardiomyopathy (AC) is an inherited cardiomyopathy characterized by fibrofatty replacement predominantly involved in right ventricle and clinically by ventricular arrhythmias.In this study, we set out to characterize the cardiac novel long-noncoding RNAs using deep RNA sequencing data from human heart tissues. Particularly, we identified AC specific novel lncRNAs that contribute to AC pathophysiology by comparing the lncRNAs transcripts of nine AC explanted hearts (RV), five non-diseased donor hearts (RV), four non-AC failing hearts (dilated cardiomyopathy, RV). To dissect the roles of novel lncRNAs in ARVC from LV, we also include six non-diseased donor hearts (LV; GSE107125) and six ARVC explanted hearts (LV) in the analysis. In the identified novel AC lncRNAs, a large part of them are derived from enhancer regions and acting as cis- elements to potentially regulate lipogenesis or lipid metabolism related genes. Finally, we validated several of these AC specific novel lncRNAs and their potential targets in independent patient samples. Collectively, we identified high-confidence AC specific novel lncRNAs from human samples and suggest their potential roles as cis- elements in AC pathology. Further study of these novel AC lncRNAs could provide new opportunities for diagnosis and therapeutic intervention. Please note that the GSE107157 records represent the 'five non-diseased donor hearts (RV) and six non-diseased donor hearts (LV)' data.
2020-01-01 | GSE107311 | GEO
Project description:Arrhythmogenic cardiomyopathy (AC) is an inherited cardiomyopathy characterized by fibrofatty replacement predominantly involved in right ventricle and clinically by ventricular arrhythmias.In this study, we set out to characterize the cardiac novel long-noncoding RNAs using deep RNA sequencing data from human heart tissues. Particularly, we identified AC specific novel lncRNAs that contribute to AC pathophysiology by comparing the lncRNAs transcripts of nine AC explanted hearts (RV), five non-diseased donor hearts (RV), four non-AC failing hearts (dilated cardiomyopathy, RV). To dissect the roles of novel lncRNAs in ARVC from LV, we also include six non-diseased donor hearts (LV) and six ARVC explanted hearts (LV) in the analysis. In the identified novel AC lncRNAs, a large part of them are derived from enhancer regions and acting as cis- elements to potentially regulate lipogenesis or lipid metabolism related genes. Finally, we validated several of these AC specific novel lncRNAs and their potential targets in independent patient samples. Collectively, we identified high-confidence AC specific novel lncRNAs from human samples and suggest their potential roles as cis- elements in AC pathology. Further study of these novel AC lncRNAs could provide new opportunities for diagnosis and therapeutic intervention.
2020-01-01 | GSE107475 | GEO
Project description:Arrhythmogenic cardiomyopathy (AC) is an inherited cardiomyopathy characterized by fibrofatty replacement predominantly involved in right ventricle and clinically by ventricular arrhythmias.In this study, we set out to characterize the cardiac novel long-noncoding RNAs using deep RNA sequencing data from human heart tissues. Particularly, we identified AC specific novel lncRNAs that contribute to AC pathophysiology by comparing the lncRNAs transcripts of nine AC explanted hearts (RV), five non-diseased donor hearts (RV), four non-AC failing hearts (dilated cardiomyopathy, RV). To dissect the roles of novel lncRNAs in ARVC from LV, we also include six non-diseased donor hearts (LV) and six ARVC explanted hearts (LV) in the analysis. In the identified novel AC lncRNAs, a large part of them are derived from enhancer regions and acting as cis- elements to potentially regulate lipogenesis or lipid metabolism related genes. Finally, we validated several of these AC specific novel lncRNAs and their potential targets in independent patient samples. Collectively, we identified high-confidence AC specific novel lncRNAs from human samples and suggest their potential roles as cis- elements in AC pathology. Further study of these novel AC lncRNAs could provide new opportunities for diagnosis and therapeutic intervention.
2020-11-20 | GSE107156 | GEO
Project description:Arrhythmogenic cardiomyopathy (AC) is an inherited cardiomyopathy characterized by fibrofatty replacement predominantly involved in right ventricle and clinically by ventricular arrhythmias.In this study, we set out to characterize the cardiac novel long-noncoding RNAs using deep RNA sequencing data from human heart tissues. Particularly, we identified AC specific novel lncRNAs that contribute to AC pathophysiology by comparing the lncRNAs transcripts of nine AC explanted hearts (RV), five non-diseased donor hearts (RV), four non-AC failing hearts (dilated cardiomyopathy, RV). To dissect the roles of novel lncRNAs in ARVC from LV, we also include six non-diseased donor hearts (LV) and six ARVC explanted hearts (LV) in the analysis. In the identified novel AC lncRNAs, a large part of them are derived from enhancer regions and acting as cis- elements to potentially regulate lipogenesis or lipid metabolism related genes. Finally, we validated several of these AC specific novel lncRNAs and their potential targets in independent patient samples. Collectively, we identified high-confidence AC specific novel lncRNAs from human samples and suggest their potential roles as cis- elements in AC pathology. Further study of these novel AC lncRNAs could provide new opportunities for diagnosis and therapeutic intervention.
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