Project description:Background: Most forms of castration-resistant prostate cancer (CRPC) are dependent on the androgen receptor (AR) for survival. While, enzalutamide provides a substantial survival benefit, it is not curative and many patients develop resistance to therapy. Although not yet fully understood, resistance can develop through a number of mechanisms, such as AR copy number gain, the generation of splice variants such as AR-V7 and mutations within the ligand binding domain (LBD) of the AR. Circular RNAs (circRNAs) are a novel type of non-coding RNA, which can regulate the function of miRNA, and may play a key role in the development of drug resistance. CircRNAs are highly resistant to degradation, are detectable in plasma and, therefore may serve a role as clinical biomarkers. Methods: AR-V7 expression was assessed in an isogenic model of enzalutamide resistance. The model consisted of age matched control cells and two sub-lines displaying varied resistance to enzalutamide. circRNA profiling was performed on the panel using a high throughout microarray assay. Bioinformatic analysis identified a number of differentially expressed circRNAs and predicted five miRNA binding sites for each circRNA. miRNAs were stratified based on known associations with prostate cancer, and targets were validated using qPCR. Results: Overall, circRNAs were more often down regulated in resistant cell lines compared with control (588 vs. 278). Of particular interest was hsa_circ_0004870 (Probe ID ASCRP3009662), which was down-regulated in enzalutamide resistant cells (p≤0.05, vs. sensitive cells), decreased in AR positive cells (p≤0.01, vs. AR negative), and in malignant cells (p≤0.01, vs. benign). The associated parental gene was identified as RBM39, a member of the U2AF65 family of proteins. Both genes were down-regulated in resistant cells (p<0.05, vs. sensitive cells). Conclusion: This is one of the first studies to profile and demonstrate discrete circRNA expression patterns in an enzalutamide resistant cell line model of prostate cancer. Our data suggests that hsa_circ_0004870, through RBM39, may play a critical role in the development of enzalutamide resistance in CRPC.
Project description:To validate the modulation of inflammatory genes by ectopic IL-33, we performed Gene expression analysis using the nCounter Mouse v2 Inflammation Panel. This result validated a significant increase in a number of anti-inflammatory cytokines in the IL-33+ xenografts that were absent in the DNLS xenografts
Project description:To compare the circRNA expression profile of diabetic retinopathy with that of diabetes mellitus and controls, peripheral blood mononuclear cell samples were obtained and extracted from healthy controls and diabetes mellitus patients (with or without diabetic retinopathy). CircRNA Capital Bio Technology Human CircRNA Array v2 was performed to detect circRNA expression profiles. To further check differentiate circRNA, qRT_PCR assay was performed to detect the level of 5 candidates.
Project description:Arraystar Human circRNA Microarray is designed for the global profiling of human circRNAs. In this study, we applied a circRNA microarray to screen the potential biomarker for HCC. 20 samples extracted from plasma samples including HCC group before operation, and after operation, CH group and control group. Each group contained five samples.
Project description:Many studies have demonstrated the importance of circRNA in regulating gene expression through functioning as microRNA sponges. However, the roles of circRNA-protein interaction are not fully understood. Importantly, how circRNA-protein interaction contributes the progression of pancreatic ductal adenocarcinoma is largely unexplored. Therefore, RNA Pull down assay for investigating RNA-protein interaction was performed in PANC-1 cells.
Project description:We have completed the Arraystar Human circRNA Array V2 analysis of the 12 samples that you submitted. Total RNA from each sample was quantified using the NanoDrop ND-1000. The sample preparation and microarray hybridization were performed based on the Arraystar’s standard protocols. Briefly, total RNAs were digested with Rnase R (Epicentre, Inc.) to remove linear RNAs and enrich circular RNAs. Then, the enriched circular RNAs were amplified and transcribed into fluorescent cRNA utilizing a random priming method (Arraystar Super RNA Labeling Kit; Arraystar). The labeled cRNAs were hybridized onto the Arraystar Human circRNA Array V2 (8x15K, Arraystar). After having washed the slides, the arrays were scanned by the Agilent Scanner G2505C.