Project description:We analyzed the expression profiles of 9,821circRNAs on intestine tissues from mice suffering from sham and intestinal I/R using microarray analysis. And find that 4 circRNAs are up-regulated and 58 are down-regulated significantly.
Project description:We have completed the Arraystar Mouse circRNA Array v2 analysis of the 6 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 Mouse circRNA Array v2 (8x15K, Arraystar). After having washed the slides, the arrays were scanned by the Agilent Scanner G2505C.
Project description:We have completed the Arraystar Human circRNA Array analysis of the 24 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 (8x15K, Arraystar). After having washed the slides, the arrays were scanned by the Agilent Scanner G2505C. Agilent Feature Extraction software (version 11.0.1.1) was used to analyze acquired array images. Quantile normalization and subsequent data processing were performed using the R software package. Differentially expressed circRNAs with statistical significance between two groups were identified through Volcano Plot filtering. Differentially expressed circRNAs between two samples were identified through Fold Change filtering. Hierarchical Clustering was performed to show the distinguishable circRNAs expression pattern among samples.
Project description:Purpose: circRNAs emerge as critical modulators in various biogical processes, but their roles in intestinal stem cells (ISC) reamin unclear. Here we want to identify a functional circRNA in ISCs, and firstly, we explore the expression profile of circRNA in ISCs. Methods: We isolated Lgr5+ ISCs and Lgr5- non-ISCs from the intestine tissue, followed by circRNA seq. Results: Many circRNAs are differently expressed in ISCs and non-ISCs, and we selected circRNAs highly expressed in ISCs for further investigation. Conclusions: circRNAs may play a critical role in ISC self-renewal.
Project description:To identify a novel circRNA which could serve as a plasma biomarker and explore its function and molecular mechanism as well as clinical significance in chronic lymphocytic leukemia (CLL) we performed circRNA microarray analysis.