CLL plasma circRNA microarray
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ABSTRACT:
PROVIDER: PRJNA543779 | ENA |
REPOSITORIES: ENA
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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.
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Project description:This study compared the circRNA expression levels in plasma samples from patients with IH and control individuals. The circRNA expression profiles were determined using microarray in three pairs of plasma samples from patients with proliferative IH and healthy control individuals. Expression of the identified circRNAs was verified using quantitative reverse transcription polymerase chain reaction (RT-qPCR), and bioinformatic analysis was performed to predict the microRNAs targeted by the validated circRNAs. In the circRNA expression profiles in the plasma of patients with IHs, we found 128 differentially expressed circRNAs, of which 72 were upregulated and 56 were downregulated. The downregulated expression of three circRNAs (hsa_circRNA_101566, hsa_circRNA_103546, and hsa_circRNA_103573) was verified using RT-qPCR. Circular RNAs (circRNAs) are noncoding RNAs that play important roles in tumor progression. Few studies have examined the circRNAs involved in infantile hemangioma (IH) progression. This study compared the circRNA expression levels in plasma samples from patients with IH and control individuals. The circRNA expression profiles were determined using microarray in three pairs of plasma samples from patients with proliferative IH and healthy control individuals. Expression of the identified circRNAs was verified using quantitative reverse transcription polymerase chain reaction (RT-qPCR), and bioinformatic analysis was performed to predict the microRNAs targeted by the validated circRNAs. In the circRNA expression profiles in the plasma of patients with IHs, we found 128 differentially expressed circRNAs, of which 72 were upregulated and 56 were downregulated. The downregulated expression of three circRNAs (hsa_circRNA_101566, hsa_circRNA_103546, and hsa_circRNA_103573) was verified using RT-qPCR. Gene ontology term and Kyoto Encyclopedia of Genes and Genomes pathway analyses showed that all identified networks participated in angiogenesis and tumor formation and progression. We found that hsa_circRNA_101566, which can regulate the mammalian target of rapamycin signaling pathway, may be an important regulatory molecule in IH development and that targeting of hsa_miR_520c can indirectly regulate the vascular endothelial growth factor signaling pathway. Further studies are needed to clarify these effects and the underlying mechanisms.
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Project description:Circular RNAs (circRNAs) are a new class of endogenous and regulatory non-coding RNAs, but their expressions in tumor and plasma are largely unknown. Here, our study firstly suggested that microarray should be more efficient than RNA sequencing for circRNA profiling. Then, we detected ~80,000 circRNAs expressed in cervical tumors and matched normal tissues by microarray, and ~23,000 of them are differently expressed. The numbers of up- and down-regulated circRNAs during tumorigenesis are almost equal. In addition, we discovered that the expression of different circRNA isoforms from the same linear RNA also different. Strikingly, as much as ~18,000 circRNAs could be robustly detected in plasmas, and ~8,000 circRNAs show different expression after surgery of tumor removal. Altogether, taking advantage of the huge number of circRNAs detected in tumor and plasma, we provide strong evidence for circRNA expression, regulation and potential clinical application as non-invasive biomarkers.
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