isoCirc catalogs full-length circular RNA isoforms in human transcriptomes

被引:113
作者
Xin, Ruijiao [1 ]
Gao, Yan [1 ,2 ]
Gao, Yuan [1 ]
Wang, Robert [3 ]
Kadash-Edmondson, Kathryn E. [1 ]
Liu, Bo [2 ]
Wang, Yadong [2 ]
Lin, Lan [4 ]
Xing, Yi [1 ,4 ]
机构
[1] Childrens Hosp Philadelphia, Ctr Computat & Genom Med, Philadelphia, PA 19104 USA
[2] Harbin Inst Technol, Ctr Bioinformat, Dept Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China
[3] Univ Penn, Genom & Computat Biol Grad Program, Philadelphia, PA 19104 USA
[4] Univ Penn, Dept Pathol & Lab Med, Philadelphia, PA 19104 USA
关键词
LANDSCAPE; EXPRESSION; QUANTIFICATION; IDENTIFICATION; TRANSLATION;
D O I
10.1038/s41467-020-20459-8
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Circular RNAs (circRNAs) have emerged as an important class of functional RNA molecules. Short-read RNA sequencing (RNA-seq) is a widely used strategy to identify circRNAs. However, an inherent limitation of short-read RNA-seq is that it does not experimentally determine the full-length sequences and exact exonic compositions of circRNAs. Here, we report isoCirc, a strategy for sequencing full-length circRNA isoforms, using rolling circle amplification followed by nanopore long-read sequencing. We describe an integrated computational pipeline to reliably characterize full-length circRNA isoforms using isoCirc data. Using isoCirc, we generate a comprehensive catalog of 107,147 full-length circRNA isoforms across 12 human tissues and one human cell line (HEK293), including 40,628 isoforms >= 500 nt in length. We identify widespread alternative splicing events within the internal part of circRNAs, including 720 retained intron events corresponding to a class of exon-intron circRNAs (EIciRNAs). Collectively, isoCirc and the companion dataset provide a useful strategy and resource for studying circRNAs in human transcriptomes.
引用
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页数:11
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