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• W2912017471 abstract "Circular RNAs (circRNAs) are an intriguing class of RNA due to their covalently closed structure, high stability, and implicated roles in gene regulation. Here, we used an exome capture RNA sequencing protocol to detect and characterize circRNAs across >2,000 cancer samples. When compared against Ribo-Zero and RNase R, capture sequencing significantly enhanced the enrichment of circRNAs and preserved accurate circular-to-linear ratios. Using capture sequencing, we built the most comprehensive catalog of circRNA species to date: MiOncoCirc, the first database to be composed primarily of circRNAs directly detected in tumor tissues. Using MiOncoCirc, we identified candidate circRNAs to serve as biomarkers for prostate cancer and were able to detect circRNAs in urine. We further detected a novel class of circular transcripts, termed read-through circRNAs, that involved exons originating from different genes. MiOncoCirc will serve as a valuable resource for the development of circRNAs as diagnostic or therapeutic targets across cancer types." @default.
• W2912017471 created "2019-02-21" @default.
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• W2912017471 date "2019-02-01" @default.
• W2912017471 modified "2023-10-18" @default.
• W2912017471 title "The Landscape of Circular RNA in Cancer" @default.
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• W2912017471 doi "https://doi.org/10.1016/j.cell.2018.12.021" @default.
• W2912017471 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6601354" @default.
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