Similar Datasets
Project description:circRNA expression in human tissue samples
| PRJNA1332759 | ENA
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.
2023-05-08 | GSE150251 | GEO
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.
2021-03-02 | E-MTAB-8799 | biostudies-arrayexpress
Project description:Circular RNAs (circRNAs), a noncoding RNA class originating from alternative splicing, are highly abundant in neural tissues and were shown to regulate gene expression e.g. by interacting with microRNAs and RNA-binding proteins. Neuroblastoma is an embryonal neoplasia, which arises from undifferentiated neural crest cells. Here, we aimed to explore, whether circRNAs influence the pathogenesis of high-risk neuroblastoma. We performed whole-transcriptome sequencing of 104 primary neuroblastoma samples of all risk-groups and identified 5,203 unique circRNAs involving 2,302 genes. Candidate circRNA expression did not correlate with host gene expression, indicating independent regulatory mechanisms. circRNAs were significantly downregulated in the MYCN-amplified high-risk tumors. These findings were independently reproduced in a tetracycline-inducible MYCN-overexpression system based on a non MYCN-amplified neuroblastoma cell line, suggesting that MYCN drives this global circRNA repression. We identified the RNA helicase DHX9 as a mediator of this global suppressive effect of MYCN on circRNAs. Comparing our RNA sequencing data with other cancers and controls revealed a circRNA subset specifically upregulated in neuroblastoma that included a circRNA derived from the ARID1A tumor suppressor gene. Specific circARID1A knockdown resulted in reduced proliferation, cell numbers and viability, prompted apoptosis and induced a differentiated phenotype. Neither knockdown, nor overexpression of circARID1A influenced ARID1A mRNA and protein levels significantly. To dissect the potential mode of function, we performed a pulldown assay with subsequent mass spectrometry. We identified the RNA-binding protein KHSRP as an interaction partner that participates in the mechanism of action of circARID1A. In summary, this study highlights an important role of circRNAs in neuroblastoma biology and may establish this RNA class as a future therapeutic target and biomarker.
2023-04-06 | PXD026053 | Pride
Project description:We have completed the Arraystar Human circRNA Array V2 analysis of 10 bile exosome samples (5 cholangiocarcinoma-induced biliary obstruction vs. 5 benign biliary obstruction). 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. 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 limma 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.
2024-04-20 | GSE228477 | GEO
Project description:circRNA microarray for 6 mouse intestinal tissue samples
| PRJNA787232 | ENA
Project description:circRNA Microarray Service for 16 human samples
| PRJNA631684 | ENA
Project description:Adipose development is regulated by a series of complicate processes, and non-coding RNAs (ncRNAs) such as circRNA have been reported to play important roles in regulating adipocytes proliferation and differentiation. In this study we profifile the expression of circRNA in cattle fat tissue from calf and adult developmental stages and detect 14,274 circRNA candidates. Some of these circRNAs are differentially expressed between two developmental stages.
2020-06-05 | GSE133735 | GEO
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.
2022-02-15 | PXD015048 | Pride
Project description:Purpose: The aim of this study was to evaluate the difference of plasma circRNA between patients with atrial fibrillation and normal subjects by high-throughput sequencing results. Methods: Total RNA was extracted using a miRNeasy Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions.Then, 200 ng RNA was sequenced with high throughput, and then pathway and go analysis were used for comprehensive analysis.Finally, RT-PCR method was used to validate in large sample population Results: High throughput sequencing results showed that there were significant differences in plasma circRNA expression between patients with atrial fibrillation and non-atrial fibrillation, and 2 optional circRNA in 12 randomly selected circRNA differences were found to be significant in the population Conclusions:It is the first time that we have used high-throughput sequencing to study the difference of plasma circrna between patients with atrial fibrillation and normal people. The results of sequencing show that the expression of circrna is quite different between the two groups of people. Therefore, we believe that circRNA may play an important role in the occurrence and development of atrial fibrillation.
2023-06-17 | GSE133420 | GEO