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isoCirc catalogs full-length circular RNA isoforms in human transcriptomes

Author

Listed:
  • Ruijiao Xin

    (Center for Computational and Genomic Medicine, The Children’s Hospital of Philadelphia)

  • Yan Gao

    (Center for Computational and Genomic Medicine, The Children’s Hospital of Philadelphia
    Harbin Institute of Technology)

  • Yuan Gao

    (Center for Computational and Genomic Medicine, The Children’s Hospital of Philadelphia)

  • Robert Wang

    (University of Pennsylvania)

  • Kathryn E. Kadash-Edmondson

    (Center for Computational and Genomic Medicine, The Children’s Hospital of Philadelphia)

  • Bo Liu

    (Harbin Institute of Technology)

  • Yadong Wang

    (Harbin Institute of Technology)

  • Lan Lin

    (University of Pennsylvania)

  • Yi Xing

    (Center for Computational and Genomic Medicine, The Children’s Hospital of Philadelphia
    University of Pennsylvania)

Abstract

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.

Suggested Citation

  • Ruijiao Xin & Yan Gao & Yuan Gao & Robert Wang & Kathryn E. Kadash-Edmondson & Bo Liu & Yadong Wang & Lan Lin & Yi Xing, 2021. "isoCirc catalogs full-length circular RNA isoforms in human transcriptomes," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20459-8
    DOI: 10.1038/s41467-020-20459-8
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    Cited by:

    1. Wanying Wu & Jinyang Zhang & Xiaofei Cao & Zhengyi Cai & Fangqing Zhao, 2022. "Exploring the cellular landscape of circular RNAs using full-length single-cell RNA sequencing," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

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