Circular RNA expression profile in human thoracic aortic dissection
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE97745 | GEO | 2020/04/12
REPOSITORIES: GEO
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Project description:In this study, the long non-coding RNA (lncRNA) expression profile in human thoracic aortic dissection (TAD), a highly lethal cardiovascular disease, was investigated. Human TAD (n=3) and normal aortic tissues (NA) (n=3) were examined by high-throughput sequencing. Bioinformatics analyses were performed to predict the roles of aberrantly expressed lncRNAs. Quantitative real-time polymerase chain reaction (qRT-PCR) was applied to validate the results. A total of 269 lncRNAs (159 up-regulated and 110 down-regulated) and 2, 255 mRNAs (1 294 up-regulated and 961 down-regulated) were aberrantly expressed in human TAD (fold-change>1.5, P<0.05). QRT-PCR results of five dysregulated genes were consistent with HTS data. A lncRNA-mRNA coexpression analysis showed positive correlations between the up-regulated lncRNA (ENSG00000269936) and its adjacent up-regulated mRNA (MAP2K6, R=0.940, P<0.01), and between the down-regulated lncRNA_1421 and its down-regulated mRNAs (FBLN5, R=0.950, P<0.01; ACTA2, R=0.96, P<0.01; TIMP3, R=0.96, P<0.05). The lncRNA-miRNA-mRNA network indicated that the up-regulated lncRNA XIST and p21 had similar sequences targeted by has-miR-17-5p. The results of luciferase assay and fluorescence immuno-cytochemistry were consistent with that. And qRT-PCR results showed that lncRNA XIST and p21 were expressed at a higher level and has-miR-17-5p was expressed at a lower level in TAD than in NA. The predicted binding motifs of three up-regulated lncRNAs (ENSG00000248508, ENSG00000226530, and EG00000259719) were correlated with up-regulated RUNX1 (R=0.982, P<0.001; R=0.967, P<0.01; R=0.960, P<0.01, respectively). Our study revealed a set of dysregulated lncRNAs and predicted their multiple potential functions in human TAD. These findings suggest that lncRNAs are novel potential therapeutic targets for human TAD.
2020-11-30 | GSE107844 | GEO
Project description:Enlargement or aneurysm of the aorta predisposes to dissection, an important cause of sudden death. We trained a deep learning model to evaluate the dimensions of the ascending and descending thoracic aorta in 4.6 million cardiac magnetic resonance images from the UK Biobank. We then conducted genome-wide association studies in 39,688 individuals, revealing 82 loci associated with ascending and 47 with descending thoracic aortic diameter, of which 14 loci overlapped. Transcriptome-wide analyses, rare-variant burden tests, and human aortic single nucleus RNA sequencing prioritized genes including SVIL, which was strongly associated with descending aortic diameter. A polygenic score for ascending aortic diameter was associated with thoracic aortic aneurysm in 385,621 UK Biobank participants (HR = 1.43 per SD; CI 1.32-1.54; P = 3.3·10-20). Our results illustrate the potential for rapidly defining quantitative traits with deep learning, an approach that can be broadly applied to biomedical images.
2021-01-30 | GSE165824 | GEO
Project description:MiRNA analysis in Thoracic Aortic aneurysms
| PRJNA635645 | ENA
Project description:To determine how gene expression is altered in aorta tissue in response to aortic aneurysm disease. Thoracic or abdominal aorta tissue was isolated from patients requiring surgery due to aortic aneurysm or other (control) reason.
2024-10-09 | GSE202267 | GEO
Project description:Descending thoracic aortic aneurysms and dissections can go undetected until severe and catastrophic, and few clinical indices exist to screen for aneurysms or predict their risk of dissection or rupture. This study generated a plasma proteomic dataset from 150 patients with descending thoracic aortic disease and 52 controls to identify proteomic signatures capable of differentiating descending thoracic aortic disease from non-disease controls, as well as between cases with aneurysm versus descending ‘type B’ dissection. Of the 1,468 peptides and 195 proteins quantified across all samples, 853 peptides and 99 proteins were quantitatively different between disease and control patients (BH adjusted p-value < 0.01 from t-tests). Supervised machine learning (ML) methods were used to classify disease from control and aneurysm from descending dissection cases. The highest precision-recall area under the curve (PR AUC) was achieved on the held-out test set using significantly different proteins between disease and control patients (PR AUC 0.99), followed by input of significant peptides (PR AUC 0.96). Despite no statistically significant proteins between aneurysm and dissection cases, use of all proteins was able to modestly classify between the two disease states (PR AUC 0.77). To overcome correlation in the proteins and enable biological pathway analysis, a disease versus control classifier was optimized using only seven unique protein clusters, which achieved comparable performance to models trained on all/significant proteins (accuracy 0.88, F1-score 0.78, PR AUC 0.90). Model interpretation with permutation importance revealed that proteins in the most important clusters for differentiating disease and control function in coagulation, protein-lipid complex remodeling, and acute inflammatory response.
2024-06-16 | PXD041337 | Pride
Project description:The purpose of this study was to determine whether lysyl oxidase inhibition using β-aminopropionitrile (BAPN) induced region-specific aortopathies in mice. The effects of BAPN were first characterized with regard to dose, strain, age, and sex. Subsequently, BAPN was administered to young male C57BL/6J mice. BAPN-induced aortic rupture predominantly occured or originated in the descending thoracic aorta. For mice surviving 12 weeks of BAPN administration, profound dilatation was consistently observed in the ascending region, while relatively sporadic in the descending thoracic region. Pathological features were distinct between the ascending and descending thoracic regions. Aortic pathology in the ascending region was characterized by luminal dilatation and elastic fiber disruption throughout the media. The descending thoracic region frequently had dissection with false lumen formation, macrophage infiltration, collagen deposition, and remodeling of the media and adventitia. Cells surrounding the false lumen were predominantly positive for α-smooth muscle actin. To investigate the molecular basis of the regional heterogeneity, ascending and descending thoracic aortas were harvested after one week of BAPN administration prior to the appearance of overt pathology. BAPN compromised contractile properties in both regions equivalently, while RNA sequencing demonstrated that BAPN altered transcriptomes related to extracellular matrix and cell division differentially between the two regions. In conclusion, BAPN-induced pathologies show distinct, heterogeneous features within and between ascending and descending aortic regions in young mice.
2023-09-30 | GSE241968 | GEO
Project description:<p>Turner syndrome is a disorder affecting only girls and women, which is caused by a complete or partial loss of the second sex chromosome. Girls and women with Turner syndrome have a variety of phenotypes. Of interest to this study is aortopathy, including bicuspid aortic valve (BAV) and thoracic aortic dilation (TAD) in which we know that 25 - 50% of girls with Turner syndrome are born with.</p> <p>The aorta is the main artery that conducts the blood out of the heart. The aortic valve guards the entrance to the aorta. When the aortic valve has two leaflets instead of the usual three it is called a BAV. BAV is more common than all other congenital heart defects combined. BAV commonly causes obstructions to blood flow out of the heart or become leaky over time. BAV often occurs in combination with TAD. In Turner syndrome, TADs are increased 50-100 fold compared to the general population. Currently, there are no effective approaches or pre-surgical treatments for aortic disease. Therefore, progression of aortic disease in individuals with BAV/TAD can result in catastrophic aortic dissection, rupture, and death. </p> <p>Our goal is to leverage DNA sequencing and carefully curated patient samples to gain a better understanding of the molecular mechanisms that cause these inter-related aortic diseases. </p>
| phs001531 | dbGaP
Project description:LncRNA Expression Profile of Human Thoracic Aortic Dissection by High-Throughput Sequencing
| PRJNA421670 | ENA
Project description:Hypertension, atherosclerosis, and aneurysms alter thoracic aorta structure. Aortic lesions found in these diseases show a unique anatomical distribution. For instance, calcifications and atherosclerotic lesions tend to occur more frequently in the posterior wall of the aorta compared to other regions. The role that the outer layer of the aorta, its perivascular adipose tissue (PVAT), plays in the pathogenesis of these lesions is unknown. The descending thoracic aorta's PVAT is distributed in three strips of tissue: one strip is located anterior to the aorta (AP), while the other two are positioned laterally to the vessel and are adjacent to the thoracic vertebrae (LP). Genetic tracing indicates LP's adipocytes descend from sm22a+ and Myf5+ progenitors while the anterior are from sm22a+ only. The implications of this ontology and aortic PVAT distribution on the development of adipocytes are unknown. We hypothesize that the anatomical location of adipocyte progenitors influences their adipogenic potential. PVAT from LP and AP was collected from male SD rats at 10 wks of age (n=7) to harvest progenitors by outgrowth expansion. Progenitors were differentiated for 4 d in adipogenic media. Adipogenesis was evaluated by lipid droplet and triglyceride quantification using the IncuCyte Live-Cell® system. RNA from progenitors and adipocytes was sequenced in Illumina NextSeqData, and Differential Expressed Genes (DEG) identified. Enrichment and network analyses were performed in Ingenuity Pathways (IPA). Our findings provide evidence supporting differences in adipogenic activity and extracellular matrix secretion between the LP and AP PVAT of the aorta. These differences may explain the anatomical location of aortic lesions associated with hypertension, atherosclerosis, and aneurysms.
2023-10-11 | GSE244664 | GEO
Project description:The study aimed to identify circular RNAs (circRNAs) commonly back-spliced to intronic region of different sets of endothelial cells (human cardiac microvascular endothelial cells (HCMEC), human aortic endothelial cells (HAoEC), human umbilical vein endothelial cells (HUVECs)) and to evaluate their overall expression and their expression compared to their respective host gene. Identified circRNAs were quality controlled by their detection in an additional exonuclease RNase R treated RNA-Seq dataset performed with RNA of HUVECs. CircRNAs were compared for overlapping detection between datasets and filtered by annotation for circRNAs back-spliced to intronic regions. Common endothelial intronic circRNAs candidates were compared to respective murine circRNAs stored in the circATLAS database. The prime candidate cZNF292 was functionally characterized in vivo and in vitro.
2023-11-30 | E-MTAB-11171 | biostudies-arrayexpress