Project description:We report transcriptional profiles of aortic valve tissue from calcific aortic valve disease (CAVD) and normal control (non-CAVD). We collected the aortic valve tissues from five patients with CAVD who underwent aortic valve replacement due to severe aortic valve stenosis. Aortic valve samples from patients with non-calcified aortic valve resection due to heart transplantation (recipient heart) or aortic dissection were collected as the control (non-CAVD). The inclusion criteria for CAVD group were as follows: 50-75 years old; undergoing aortic valve replacement due to severe AVS with significantly valvular calcification. The inclusion criteria for non-CAVD group were as follows: non-calcified aortic valve resection due to heart transplantation (recipient heart) or aortic dissection. For each sample, total RNA was extracted, a cDNA library was generated, and an Illumina NovaSeq 6000 was used to sequence each sample. Stringtie software was used to count the fragment within each gene, and TMM algorithm was used for normalization. Differential expression analysis was performed using R package edgeR. Differentially expressed RNAs with |log2(FC)| value >1, q value [false discovery rate (FDR) adjusted P-value] <0.05, and one group’s mean fragments per kilobase of exon per million reads mapped (FPKM) >1, were assigned as differentially-expressed genes (DEGs).
Project description:Differentially expressed genes were identified by comparing the gene expression profiling of dissected ascending aorta with that of control. Results provide important information to indicate pathogenesis of aortic dissection.
Project description:Aortic dissection (AD) is a cardiovascular emergency resulted from blood flows into vessel wall, with high mortality in early stage. Due to the vital pathological mechanism for AD occurrence has not been clarified, and no effective ways to prevent and diagnose AD’s process. In this study, we determine the lncRNA expression profile in aortic dissection group and control group. The key lncRNAs were screen out by using microarray analysis in defferent group.
Project description:Genome wide DNA methylation profiling of ascending aorta tissue samples from normal, aortic dissection and bicuspid aortic valve patients with aortic dilation. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across more than 450,000 CpGs in ascending aorta samples. Samples included 6 normal donors, 12 patients with aortic dissection and 6 patients with bicuspid aortic valve and dilated aorta.
Project description:Genome wide DNA methylation profiling of normal and ascending aorta tissue samples from normal and aortic dissection patients. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 485,512 CpGs in ascending aorta tissue samples. Samples included 4 normal donors and 4 patients with aortic dissection.
Project description:To assess the circular RNAs (circRNAs) expression profile and explore the potential functions in human thoracic aortic dissection (TAD).The differentially expressed circRNAs profiles of the aortic segments between human type A TAD patients (n=3) and age-matched normal donors (NA; n=3) were analyzed using the Arraystar human circRNAs microarray. Quantitative real-time PCR was used to validate the expression pattern of circRNAs, parental genes, and hsa-miR-320a; Western blotting confirmed MMP9 expression with additional samples. Bioinformatic tools including network analysis, Gene ontology, and KEGG pathway analysis were utilized.
Project description:Purpose: The aim of this study is to have a fullscape of molecular pathology of Stanford type A aortic dissection Methods: All TAAD patients under consideration underwent an ascending aortic replacement surgery during a cardiopulmonary bypass. The normal ascending aortic tissue samples were obtained from patients undergoing coronary artery bypass grafting surgery (CABG) without any aortic diseases. We selected 20 samples (10 TAAD and 10 normal) for the whole transcriptome sequencing. Total RNA was extracted from each sample using TRIzol Reagent (ThermoFisher) and was stored in 1 mL of 75% ethanol at -80 ℃ until further usage. Conclusions: We identified exaggerated autophagy as a molecular biomarker for aortic dissection. We also predicted 10 hub genes and an HIF1A-ATG3 axis which could provide new insights in understanding aortic dissection.
