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Related Experiment Video

Updated: Dec 5, 2025

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
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TransCirc: an interactive database for translatable circular RNAs based on multi-omics evidence.

Wendi Huang1,2, Yunchao Ling1, Sirui Zhang1,2

  • 1Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China.

Nucleic Acids Research
|October 19, 2020
PubMed
Summary
This summary is machine-generated.

TransCirc is a new database that provides evidence for circular RNA (circRNA) translation. It helps researchers understand the coding potential of circRNAs and their encoded peptides.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Circular RNAs (circRNAs) are a class of RNA molecules with a covalently closed loop structure.
  • The potential for circRNAs to be translated into functional peptides is an emerging area of research.
  • Existing resources lack comprehensive evidence integration for circRNA translation.

Purpose of the Study:

  • To develop and present TransCirc, a specialized database for circRNA translation potential.
  • To integrate diverse evidence types for predicting circRNA coding capacity.
  • To facilitate research into circRNA-encoded peptides.

Main Methods:

  • Integration of seven types of evidence: ribosome binding, translation initiation sites, IRES, m6A modification, ORF length, machine learning scores, and mass spectrometry data.
  • Development of a user-friendly interface for searching and browsing evidence.
  • Implementation of analytical tools for data retrieval and analysis.

Main Results:

  • TransCirc provides comprehensive evidence supporting circRNA translation potential.
  • The database predicts coding potential and putative translation products for human circRNAs.
  • User-friendly interface and analytical tools enhance data accessibility and utility.

Conclusions:

  • TransCirc serves as a valuable resource for studying circRNA translation.
  • It aids in the investigation of circRNA-encoded peptides.
  • The database is expandable to include new evidence and species.