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isoCirc catalogs full-length circular RNA isoforms in human transcriptomes

  • Ruijiao Xin
  • , Yan Gao
  • , Yuan Gao
  • , Robert Wang
  • , Kathryn E. Kadash-Edmondson
  • , Bo Liu
  • , Yadong Wang
  • , Lan Lin
  • , Yi Xing*
  • *Corresponding author for this work
  • The Children’s Hospital of Philadelphia
  • Harbin Institute of Technology
  • University of Pennsylvania

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number266
JournalNature Communications
Volume12
Issue number1
DOIs
StatePublished - 1 Dec 2021

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