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Updated: Sep 5, 2025

Identification of Circular RNAs using RNA Sequencing

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

circFL-seq, A Full-length circRNA Sequencing Method.

Zelin Liu¹, Ence Yang^1,2,3

¹Institute of Systems Biomedicine, Department of Medical Bioinformatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.

|July 8, 2022

Summary

This summary is machine-generated.

Identifying circular RNA (circRNA) internal sequences is challenging. Our new circFL-seq method and pipeline accurately profile full-length circRNAs, improving identification of short and long transcripts.

Keywords:

Alternative splicing Full-length circRNA sequencing Nanopore sequencing circFL-seq circRNA

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Last Updated: Sep 5, 2025

Identification of Circular RNAs using RNA Sequencing

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

Published on: October 5, 2018

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

Published on: October 21, 2022

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Identifying circular RNA (circRNA) internal sequences is difficult due to similarities with linear RNA.
Accurate profiling of circRNAs is essential for understanding their function.

Purpose of the Study:

To develop a novel method for full-length circRNA sequencing and analysis.
To overcome challenges in identifying circRNA isoforms and internal sequences.

Main Methods:

Developed circFL-seq, a method combining rolling circular reverse transcription with nanopore long-read sequencing.
Created a computational pipeline for analyzing circFL-seq data.
Compared circFL-seq with traditional short-read RNA sequencing.

Main Results:

circFL-seq achieved over tenfold enrichment of circRNA reads compared to short-read RNA-seq.
The method successfully identified both short (<100 nt) and long (>2,000 nt) circRNA transcripts.
circFL-seq demonstrated higher sensitivity and precision in identifying back-splicing junctions than existing long-read methods.

Conclusions:

circFL-seq enables accurate, isoform-level profiling of full-length circRNAs, including fusion circRNAs.
The method facilitates the identification of differential alternative splicing in circRNAs.
circFL-seq is a promising tool for large-scale screening of functional circRNAs.