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Updated: Dec 29, 2025

Identification of Circular RNAs using RNA Sequencing
Published on: November 14, 2019
Closing the circle: current state and perspectives of circular RNA databases
Marieke Vromman1, Jo Vandesompele2, Pieter-Jan Volders3
1department of Biomolecular Medicine at Ghent University and a member of the Cancer Research Institute Ghent.
Abstract:
Circular RNAs (circRNAs) are covalently closed RNA molecules that have been linked to various diseases, including cancer. However, a precise function and working mechanism are lacking for the larger majority. Following many different experimental and computational approaches to identify circRNAs, multiple circRNA databases were developed as well. Unfortunately, there are several major issues with the current circRNA databases, which substantially hamper progression in the field. First, as the overlap in content is limited, a true reference set of circRNAs is lacking. This results from the low abundance and highly specific expression of circRNAs, and varying sequencing methods, data-analysis pipelines, and circRNA detection tools. A second major issue is the use of ambiguous nomenclature. Thus, redundant or even conflicting names for circRNAs across different databases contribute to the reproducibility crisis. Third, circRNA databases, in essence, rely on the position of the circRNA back-splice junction, whereas alternative splicing could result in circRNAs with different length and sequence. To uniquely identify a circRNA molecule, the full circular sequence is required. Fourth, circRNA databases annotate circRNAs' microRNA binding and protein-coding potential, but these annotations are generally based on presumed circRNA sequences. Finally, several databases are not regularly updated, contain incomplete data or suffer from connectivity issues. In this review, we present a comprehensive overview of the current circRNA databases and their content, features, and usability. In addition to discussing the current issues regarding circRNA databases, we come with important suggestions to streamline further research in this growing field.
Insights
Circular RNAs (circRNAs) are crucial in disease, but current databases lack standardization. This review highlights issues in circRNA databases and proposes solutions for consistent research.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Circular RNAs (circRNAs) are a class of RNA molecules implicated in various diseases, including cancer.
- Despite their disease relevance, the precise functions and mechanisms of most circRNAs remain largely unelucidated.
- Numerous circRNA databases exist, but significant limitations hinder research progress.
Purpose of the Study:
- To provide a comprehensive review of current circRNA databases, evaluating their content, features, and usability.
- To identify and discuss major issues plaguing existing circRNA databases.
- To propose actionable suggestions for improving circRNA data management and research.
Main Methods:
- Systematic review of existing circRNA databases.
- Analysis of database content, annotation methods, and data accessibility.
- Comparative assessment of database features and usability.
Main Results:
- Limited overlap in content and lack of a unified reference set across databases.
- Inconsistent nomenclature leading to ambiguity and reproducibility challenges.
- Reliance on junction sites rather than full sequences, and inaccurate functional annotations.
- Issues with data completeness, regular updates, and database connectivity.
Conclusions:
- Current circRNA databases suffer from critical limitations including data inconsistency, ambiguous nomenclature, and inadequate annotation.
- Addressing these issues is essential for advancing the understanding of circRNA functions and their roles in disease.
- Standardization and improved database design are recommended to foster reproducible and efficient circRNA research.
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