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Updated: Jul 12, 2025

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
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circRNADisease v2.0: an updated resource for high-quality experimentally supported circRNA-disease associations

Zhi-Yan Sun1,2, Chang-Lin Yang1, Li-Jie Huang1

  • 1Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.

Nucleic Acids Research
|October 28, 2023
PubMed

Insights

The circRNADisease 2.0 database now links thousands of circular RNAs (circRNAs) to numerous diseases across 12 species. This enhanced resource aids researchers in understanding circRNA roles in complex diseases.

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Circular RNAs (circRNAs) are increasingly recognized for their roles in disease pathogenesis.
  • Existing databases for circRNA-disease associations require expansion and enhancement to support comprehensive research.
  • The circRNADisease database previously provided valuable, but limited, data on circRNA-disease relationships.

Purpose of the Study:

  • To present the updated and expanded circRNADisease 2.0 database, offering a significantly larger and more detailed collection of experimentally verified circRNA-disease associations.
  • To incorporate new data types, including circRNA-associated factors, molecular mechanisms, biological functions, and clinical relevance, to provide a holistic view.
  • To facilitate research into the complex interplay between circRNAs and diseases.

Main Methods:

  • Curated and integrated experimentally verified circRNA-disease association data from diverse sources.
  • Expanded the database to include 12 species, 4246 circRNAs, and 330 disease types, resulting in 6998 entries.
  • Added new modules for circRNA-associated factors, molecular mechanisms, biological functions, clinical data, and mutation-circRNA relationships.

Main Results:

  • circRNADisease 2.0 contains 6998 circRNA-disease entries, a 19.77-fold increase from the previous version.
  • The database now covers 12 species and includes detailed information on associated factors, pathways, functions, and clinical data.
  • Identified 7,159,865 mutation-circRNA relationships across 30 TCGA cancer types.

Conclusions:

  • The enhanced circRNADisease 2.0 database provides an invaluable, comprehensive resource for studying circRNA functions in disease.
  • Its extensive data and new features support both fundamental research and potential clinical applications.
  • Facilitates a deeper understanding of circRNA's impact on complex diseases and associated mutations.

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