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Updated: Jan 14, 2026

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
Published on: October 21, 2022
riboCIRC v2.0: an expanded resource for translatable CircRNAs
Yunhao Xu1, Lei Yang1, Yuewen Tang1
1State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou 510060, China.
The updated riboCIRC v2.0 database now catalogs over 5,000 translatable circular RNAs (circRNAs) and their peptides. This resource accelerates research into circRNA translation and function characterization.
Area of Science:
- Genomics and Bioinformatics
- Molecular Biology
- Proteomics
Background:
- Circular RNAs (circRNAs) are increasingly recognized for their regulatory roles.
- The translatome, encompassing all translated RNAs, is crucial for understanding cellular function.
- Characterizing translatable circRNAs and their encoded peptides is essential for functional genomics.
Purpose of the Study:
- To present riboCIRC v2.0, a significantly updated database for translatable circRNAs and their encoded peptides.
- To enhance research into circRNA translation and function characterization.
- To provide a comprehensive resource for diverse biological systems.
Main Methods:
- Expanded data collection of translatable circRNAs and finite ORF-encoded peptides.
- Integrated new evidence layers for circRNA translation, including RNA editing and RBP interactions.
- Performed systematic in silico annotation of encoded peptides for properties and functions.
Main Results:
- riboCIRC v2.0 documents 5212 predicted translatable circRNAs and 7563 predicted peptides.
- Enhanced evidence integration includes ribosome profiling, mass spectrometry, IRES, m6A, RNA editing, and RBP interactions.
- Comprehensive peptide annotation details physicochemical properties, structures, and potential functions.
Conclusions:
- riboCIRC v2.0 offers substantially expanded content and enhanced functionality.
- The updated database serves as a powerful resource for investigating translatable circRNAs and their products.
- Improved data exploration and visualization facilitate research in diverse biological systems.
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