Project description:strand specific sequencing of RNAs from MAoECs to determine the endothelial-specific expression profile of protein-coding and long non-coding RNAs
Project description:Calcific aortic valve disease (CAVD) is the most common valvular heart disease in the aging population, ranging from initial aortic valve sclerosis to advanced aortic valve stenosis (AVS), but its underlying mechanism remains poorly understood. The present study aimed to explore the differentially expressed long non-coding RNAs and genes in CAVD.
Project description:The long non-coding RNA NUDT6 was found to be deregulated in abdominal aortic aneurysm (AAA) with higher expression in diseased human tissue specimens versus control aortic tissue. Apart from the already well-studied DNA: RNA interaction as a natural antisense transcript to Fibroblast Growth Factor 2 (FGF2), we were interested in identifying protein interaction partners to unravel further involvement in the pathogenesis and progression of abdominal aortic aneurysm. Therefore, we performed a RNA pulldown experiment using biotinylated NUDT6 and control RNA in human aortic smooth muscle cell lysate to identify further interaction partners.
Project description:Human aortic endothelial cells were stimulated by lysophosphatidylcholine (LPC) (10μM) with or without interleukin 35 (IL-35) (10ng/mL) or IL-10 (10ng/mL) for 18 hours. Total RNAs were extracted from samples, then mRNA and non-coding RNAs were enriched by removing rRNA from the total RNA. The library was sequenced by Illumina HiSeq4000 using PE100 strategy and the reads were mapped to the human hg19 reference genome.
Project description:Background: Pathological cardiac overload triggers maladaptive myocardial remodeling that predisposes to the development of heart failure. The contribution of long non-coding RNAs (lncRNAs) to intercellular signaling during cardiac remodeling is largely unknown. Methods: We analyzed the expression of Gadlor 1 and Gadlor2 lncRNAs in mouse hearts, mouse cardiac cells, extracellular vesicles (EVs), human failing hearts as well as patient serum. Gadlor knock-out (KO) mice were generated and analyzed. The effect of Gadlor knock-out and Gadlor overexpression during cardiac pressure overload induced by transverse aortic constriction (TAC) was analyzed by echocardiography, histological analyses and RNA sequencing in isolated cardiac cells. Gadlor1/2 interaction partners were identified by RNA antisense purification coupled with mass-spectrometry (RAP-MS). Results: In the heart, the related lncRNAs Gadlor1 and 2 are mainly expressed in endothelial cells and to a lesser extent in fibroblasts. Gadlor1/2 are upregulated in failing mouse hearts as well as in the myocardium and in serum of heart failure patients. Interestingly, Gadlor1 and 2 are secreted from endothelial cells within EVs, which are taken up by cardiomyocytes. Gadlor-KO mice exerted reduced cardiomyocyte hypertrophy, diminished myocardial fibrosis and improved cardiac function, but paradoxically suffered from sudden death during prolonged overload. Gadlor overexpression, in turn, triggered hypertrophy, fibrosis and cardiac dysfunction. Mechanistically, Gadlor1 and Gadlor2 inhibit angiogenic gene expression in endothelial cells, while promoting the expression of pro-fibrotic genes in cardiac fibroblasts. In cardiomyocytes, Gadlor1/2 upregulate mitochondrial genes, but downregulate angiogenesis genes, while interacting with the transcriptional regulator Glyr1 and the calcium/calmodulin-dependent protein kinase type II (CaMKII), entailing cardiomyocyte hypertrophy and perturbed cardiomyocyte calcium dynamics. Conclusions: We describe that Gadlor1 and 2, two related, novel lncRNAs, are upregulated in cardiac pathological overload and are secreted from endothelial cells within EVs. Gadlor1/2 induce cardiac dysfunction, cardiomyocyte hypertrophy and myocardial fibrosis by exerting heterocellular effects on cardiac cellular gene-expression and by affecting calcium dynamics in cardiomyocytes, which take up the Gadlor1/2 by EV mediated transfer from endothelial cells. Targeted inhibition of Gadlor lncRNAs in endothelial cells or fibroblasts might serve as therapeutic strategy in the future.
Project description:Long non-coding RNAs (lncRNAs) exhibit a poor interspecies conservation and often show spatial- and temporal-specific expression patterns. What, if any, role they have in oxidative stress remains unknown. To identify potential roles for lncRNAs, we examined their expression in normal and H2O2-treated human umbilical vein endothelial cells. Oxidative stress related lncRNAs were generated by deep sequencing, using Illumina HiSeq 2000 or 2500 platform. Sequencing of the cDNA libraries from H2O2-treated HUVECs generated 12.5 million uniquely valid reads, meanwhile, 10.2 million valid fragments were obtained from control group in our experiment. A total of 10, 765 known and 30, 629 novel putative lncRNAs were identified according to RNA-Seq. Among them, 2, 091 of known and 25, 800 of novel lncRNAs were differentially expressed in H2O2-treated HUVECs compared with control HUVECs, and 12 of these were validated with qRTâPCR. Taken together, our findings provide evidence differentially expressed lncRNAs were mediated by oxidative stress in HUVECs, it is, therefore, likely that aberrant expression of lncRNAs, at least in part, participate in the process of endothelial injury caused by oxidative stress. Examination of lncRNAs in the oxidative-stressed human umbilical vein endothelial cells
Project description:Long non-coding RNAs (lncRNAs) are defined as non-protein-coding transcripts that are at least 200 nucleotides long. They are known to play pivotal roles in regulating gene expression, especially during stress responses in plants. We used a large collection of in-house transcriptome data from various soybean (Glycine max and Glycine soja) tissues treated under different conditions to perform a comprehensive identification of soybean lncRNAs. We also retrieved publicly available soybean transcriptome data that were of sufficient quality and sequencing depth to enrich our analysis. In total, RNA-seq data of 332 samples were used for this analysis. An integrated reference-based, de novo transcript assembly was developed that identified ~69,000 lncRNA gene loci. We showed that lncRNAs are distinct from both protein-coding transcripts and genomic background noise in terms of length, number of exons, transposable element composition, and sequence conservation level across legume species. The tissue-specific and time-specific transcriptional responses of the lncRNA genes under some stress conditions may suggest their biological relevance. The transcription start sites of lncRNA gene loci tend to be close to their nearest protein-coding genes, and they may be transcriptionally related to the protein-coding genes, particularly for antisense and intronic lncRNAs. A previously unreported subset of small peptide-coding transcripts was identified from these lncRNA loci via tandem mass spectrometry, which paved the way for investigating their functional roles. Our results also highlight the current inadequacy of the bioinformatic definition of lncRNA, which excludes those lncRNA gene loci with small open reading frames (ORFs) from being regarded as protein-coding.