CircRNA expression data in Heart Tissue associated with Tetralogy of Fallot
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE146217 | GEO | 2023/03/01
REPOSITORIES: GEO
Similar Datasets
Project description:The aim of the study is to identify the Micro RNA(miRNA) expression profiling in tissue samples of the right ventricular outflow tract of 5 TOF children with no other intracardiac and extracardiac malformations and 5 normal fetuses.
2023-03-01 | GSE146219 | GEO
Project description:The aim of the study is to identify the global messenger RNA (mRNA) and long noncoding RNA (lncRNA) expression profiling in tissue samples of the right ventricular outflow tract of 5 TOF children with no other intracardiac and extracardiac malformations and 5 normal fetuses.
2023-03-01 | GSE146218 | GEO
Project description:Tetralogy of Fallot (TOF) is the most common cyanotic congenital heart defect with a world-wide prevalence of 3 to 4 cases per 10,000 life births. TOF is a congenital heart disease with four major cardiac defects, i.e., ventricular septal defect, overriding aortic root, infundibular stenosis of the pulmonary artery, and right ventricular hypertrophy. Treatment relies on correction surgery in early infancy. This study performed whole genome microarray gene expression profiling of cardiac specimens of the right ventricular outflow tract (RVOT), which were recovered during correction surgery of TOF from 11 pediatric patients diagnosed with TOF cardiac defects.
2023-09-18 | GSE241024 | GEO
Project description:Tetralogy of Fallot (TOF) is one of the most common heart defects in children and the underlying mechanisms remain elusive. miRNAs are a recently discovered class of regulators of gene expression and are becoming increasingly recognized as important regulators of heart development and function. The objective of the present study was to identify miRNAs that are abnormally expressed in clinical infant outflow tract myocardium tissues of TOFs. Microarray was used to analyze miRNA expression profiles in infant outflow tract myocardium tissues of TOFs and paired normal ones.
2012-08-14 | E-GEOD-40128 | biostudies-arrayexpress
Project description:Small RNAs, especially the microRNAs, have been revealed to play great roles in heart development and congenital heart defects. Several studies have shown dysregulated miRNAs in ventricular tissues of Tetralogy of Fallot (TOF) patients. In the present study, we conducted high throughput sequencing to obtain the global profiling of small RNA transcriptome in heart right ventricular samples from 10 age -matched TOF patients. These samples showed dominant composition of miRNA and mitochondrial associated RNAs. By sRNA cluster identification and differential gene expression analysis, significant sexual difference was discovered for sRNA expression in TOF patients. miR-1/miR-133, the first identified miRNA cluster essential for cardiac development, account for the most variance of sRNA expression between sexes. Our results suggested divergent molecular basis between female and male TOF patients.
2018-12-21 | GSE113511 | GEO
Project description:Tetralogy of Fallot (TOF) is one of the most common heart defects in children and the underlying mechanisms remain elusive. miRNAs are a recently discovered class of regulators of gene expression and are becoming increasingly recognized as important regulators of heart development and function. The objective of the present study was to identify miRNAs that are abnormally expressed in clinical infant outflow tract myocardium tissues of TOFs.
2012-08-15 | GSE40128 | GEO
Project description:This is the first report characterizing noncoding RNA expression in a congenital heart defect. The striking shift in expression of noncoding RNAs reflects a fundamental change in cell biology, likely impacting expression, transcript splicing and translation of developmentally important genes and possibly contributing to the cardiac defect. The importance of noncoding RNAs (ncRNA), especially microRNAs, for maintaining stability in the developing vertebrate heart has recently become apparent. However, there is little known about the expression pattern of ncRNA in the human heart with developmental anomalies. We examined the expression of microRNAs and small nucleolar RNAs (snoRNAs) in right ventricular myocardium from 16 infants with nonsyndromic tetralogy of Fallot (TOF) without a 22q11.2 deletion, three fetal heart samples and eight normally developing infants. We found 61 microRNAs and 135 snoRNAs to be significantly changed in expression in myocardium from children with TOF compared to normally developing comparison subjects. The pattern of ncRNA expression in TOF myocardium had a remarkable resemblance to expression patterns in fetal myocardium, especially for the snoRNAs. Potential targets of microRNAs with altered expression were enriched for gene networks of importance to cardiac development. We derived a list of 229 genes known to be critical to heart development and found 44 had significantly changed expression in TOF myocardium relative to normally developing myocardium. These 44 genes had significant negative correlation with 33 microRNAs, each of which also had significantly changed expression. The primary function of snoRNAs is targeting specific nucleotides of ribosomal RNAs and spliceosomal RNAs for biochemical modification. The targeted nucleotides of the differentially expressed snoRNAs were concentrated in the 28S and 18S ribosomal RNAs and two spliceosomal RNAs, U2 and U6. In addition, in myocardium from children with TOF, we observed splicing variants in 51% of the critical cardiac developmental genes. Taken together, these observations suggest a link between snoRNA level in the myocardium, spliceosomal function and heart development. We examined the expression of microRNAs and small nucleolar RNAs (snoRNAs) in right ventricular myocardium from 16 infants with nonsyndromic tetralogy of Fallot (TOF) without a 22q11.2 deletion, three fetal heart samples and eight normally developing infants
2012-07-11 | E-GEOD-35490 | biostudies-arrayexpress
Project description:Tetralogy of Fallot (TOF), the most frequent cyanotic congenital heart disease, occurs as a simplex trait of unknown etiology in the majority of cases. Studies of non-Asian populations suggest that approximately 10% of TOF cases carry a de novo rare copy number variant (CNV) thought to underlie the malformation. A genome-wide CNV analysis was performed in 303 TOF and 302 controls of Han Chinese as well as compared to 1,000 common Chinese database and revealed 166 rare CNVs identified in TOF patients with 119 CNVs further evaluated as potential “TOF-specific CNVs”; 98 were validated by qPCR, and 44 CNVs showed positive results on validation (positive rate 46.9%, 44/98). The genes related to the clinical phenotypes (subpulmonary VSD, bicuspid pulmonary valve, aortic valve overriding more than 75%, and right aortic arch) and the specific CNVs were included in integrating gene-gene interaction network analysis that identified the genes covering the specific CNVs directly or indirectly correlated to TOF and the signaling pathways. Thus, this study identified novel TOF-specific/associate CNVs in the Han Chinese that occurring at higher frequency in the Han Chinese (28.4% in Chr 1-20 and 42.9% in all chromosomes) is reflective of the increased prevalence of TOF in China. These novel CNVs identify new candidate genes for TOF. Our findings provide new insight into the contribution of CNVs to the genetic basis of TOF and identify new genetic loci potentially important to the pathogenesis of TOF
2021-01-01 | GSE151767 | GEO
Project description:Right ventricular mRNA profiles from 22 patients with Tetralogy of Fallot (TOF) and mRNA-seq profiles from the left and right ventricle (LV and RV, respectively) of 4 healthy unaffected individuals (NH) were generated. The total RNA was isolated from the 30 human heart samples using TRIzol. mRNAs were isolated from total RNA and prepared for sequencing using Illumina Kit RS-100-0801 according to the manufacturer's protocol (Preparing Samples for Sequencing of mRNA Sept 2008). The sequencing libraries were generated using a non-strand-specific library construction method. The purified DNA fragments were used directly for cluster generation, and 36 cycles of single-end read sequencing were performed using the Illumina Genome Analyzer. Sequencing reads were extracted from the image files using the open source Firecrest and Bustard applications (Illumina Genome Analyzer pipeline 1.3.2, 1.4.0 and 1.5.0). Right ventricular mRNA-seq profiles from 22 patients with Tetralogy of Fallot and mRNA-seq profiles from the left and right ventricle of 4 healthy unaffected individuals. Supplementary processed data files: GSE36761_gene_expression_levels.txt: Gene expression profiling data for all samples. GSE36761_gene_expression_levels_normalized.txt: Normalized gene expression profiling data for all samples. GSE36761_transcript_expression_levels.txt: Transcript expression profiling data for all samples. GSE36761_transcript_expression_levels_normalized.txt: Normalized transcript expression profiling data for all samples. Genome build: hg18
2014-02-04 | E-GEOD-36761 | biostudies-arrayexpress
Project description:Right ventricular small RNA profiles from 22 patients with Tetralogy of Fallot (TOF) and small RNA-seq profiles from the left and right ventricle (LV and RV, respectively) of 4 healthy unaffected individuals (NH) were generated. The total RNA was isolated from the 30 human heart samples using TRIzol. Small RNAs were isolated from total RNA and prepared for microRNA sequencing using Illumina Kit FG-102-1009 according to the manufacturer's protocol (Preparing Samples for Analysis of Small RNA Illumina 2007). The sequencing libraries were generated using a non-strand-specific library construction method. The purified DNA fragments were used directly for cluster generation, and 36 cycles of single-end read sequencing were performed using the Illumina Genome Analyzer. Sequencing reads were extracted from the image files using the open source Firecrest and Bustard applications (Illumina Genome Analyzer pipeline 1.3.2).
2019-12-04 | GSE36759 | GEO