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Quantifying full-length circular RNAs in cancer

ABSTRACT: Quantifying full-length circular RNAs in cancer

PROVIDER: PRJNA693503 | ENA |

REPOSITORIES: ENA

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			Action	DRS
		Other
	SRR13490200_1.fastq.gz	Fastqsanger.gz
	SRR13490200_2.fastq.gz	Fastqsanger.gz
	SRR13490201_1.fastq.gz	Fastqsanger.gz
	SRR13490201_2.fastq.gz	Fastqsanger.gz

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Quantifying full-length circular RNAs in cancer

Project description:Circular RNAs (circRNAs) have been found abundantly expressed in cancer. Their resistance to exonucleases enables them to have potentially stable interactions with with different types of biomolecules. Alternative splicing can create different circRNA isoforms that have different sequences and unequal interaction potentials. The study of circRNA function thus requires knowledge of complete circRNA sequences. Here we describe psirc, a method that can identify full-length circRNA isoforms and quantify their expression levels using RNA sequencing data. We confirm the effectiveness and computational efficiency of psirc using both simulated and actual experimental data. Applying psirc on transcriptome profiles from nasopharyngeal carcinoma and normal nasopharynx samples, we discovered circRNA isoforms differentially expressed between the two groups. Compared to the assumed circular isoforms derived from linear transcript annotations, some of the alternatively spliced circular isoforms have 100 times higher expression and contain fewer microRNA response elements, demonstrating the importance of quantifying full-length circRNA isoforms.

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Quantifying full-length circular RNAs in cancer.

Project description:Circular RNAs (circRNAs) are abundantly expressed in cancer. Their resistance to exonucleases enables them to have potentially stable interactions with different types of biomolecules. Alternative splicing can create different circRNA isoforms that have different sequences and unequal interaction potentials. The study of circRNA function thus requires knowledge of complete circRNA sequences. Here we describe psirc, a method that can identify full-length circRNA isoforms and quantify their expression levels from RNA sequencing data. We confirm the effectiveness and computational efficiency of psirc using both simulated and actual experimental data. Applying psirc on transcriptome profiles from nasopharyngeal carcinoma and normal nasopharynx samples, we discover and validate circRNA isoforms differentially expressed between the two groups. Compared with the assumed circular isoforms derived from linear transcript annotations, some of the alternatively spliced circular isoforms have 100 times higher expression and contain substantially fewer microRNA response elements, showing the importance of quantifying full-length circRNA isoforms.

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