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Updated: Jan 7, 2026

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

CircTarget: a comprehensive database of circRNA-target RNA interactions across multiple cell types.

Hongmei Zhang^1,2,3, Yuyang Zhang⁴, Peng Li²

¹Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510100, China.

Nucleic Acids Research

|December 30, 2025

Summary

This summary is machine-generated.

Circular RNAs (circRNAs) are key gene regulators, but their targets are unknown. CircTarget is a new database mapping thousands of experimentally verified circRNA-target RNA interactions at high resolution.

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Last Updated: Jan 7, 2026

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

Identification of Circular RNAs using RNA Sequencing

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

Studying RNA Interactors of Protein Kinase RNA-Activated during the Mammalian Cell Cycle

Studying RNA Interactors of Protein Kinase RNA-Activated during the Mammalian Cell Cycle

Published on: March 5, 2019

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Circular RNAs (circRNAs) are prevalent regulatory molecules derived from pre-mRNA back-splicing.
circRNAs play crucial roles in gene regulation and disease development.
Identifying circRNA targets is essential but remains a significant challenge in the field.

Purpose of the Study:

To develop the first comprehensive database of experimentally validated circRNA-target RNA interactions.
To provide single-nucleotide resolution mapping of these interactions.
To facilitate research into circRNA function and disease mechanisms.

Main Methods:

Analysis of RNA-RNA interactome data from various crosslinking methods.
Data integration from 13 cell lines and human/mouse hippocampal tissues.
Identification of high-confidence circRNA-target RNA interactions using stringent criteria.

Main Results:

Discovery of 132,517 high-confidence circRNA-target RNA interactions.
Development of CircTarget, a database with detailed annotations for each interaction.
Inclusion of circRNA information, disease associations, interaction sites, and linked genetic variants.

Conclusions:

CircTarget is a valuable resource for exploring circRNA functions and interactions.
The database provides experimentally supported evidence for circRNA-target RNA binding.
CircTarget enables deeper investigation into the roles of circRNAs in gene regulation and disease pathogenesis.