TransCirc: an interactive database for translatable circular RNAs based on multi-omics evidence.

Nucleic Acids Res

Bio-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.

Published: January 2021

AI Article Synopsis

  • TransCirc is a specialized database designed to provide detailed evidence supporting the translation potential of circular RNAs (circRNAs) in humans.
  • It integrates various types of evidence, including ribosome binding and experimental data, to predict the coding capacity of circRNAs and their possible translation products.
  • The database features a user-friendly interface and analytical tools, making it a valuable resource for researchers studying the translation of circRNAs and their encoded peptides, with potential for future updates and expansions.

Article Abstract

TransCirc (https://www.biosino.org/transcirc/) is a specialized database that provide comprehensive evidences supporting the translation potential of circular RNAs (circRNAs). This database was generated by integrating various direct and indirect evidences to predict coding potential of each human circRNA and the putative translation products. Seven types of evidences for circRNA translation were included: (i) ribosome/polysome binding evidences supporting the occupancy of ribosomes onto circRNAs; (ii) experimentally mapped translation initiation sites on circRNAs; (iii) internal ribosome entry site on circRNAs; (iv) published N-6-methyladenosine modification data in circRNA that promote translation initiation; (v) lengths of the circRNA specific open reading frames; (vi) sequence composition scores from a machine learning prediction of all potential open reading frames; (vii) mass spectrometry data that directly support the circRNA encoded peptides across back-splice junctions. TransCirc provides a user-friendly searching/browsing interface and independent lines of evidences to predicte how likely a circRNA can be translated. In addition, several flexible tools have been developed to aid retrieval and analysis of the data. TransCirc can serve as an important resource for investigating the translation capacity of circRNAs and the potential circRNA-encoded peptides, and can be expanded to include new evidences or additional species in the future.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778967PMC
http://dx.doi.org/10.1093/nar/gkaa823DOI Listing

Publication Analysis

Top Keywords

circular rnas
8
evidences supporting
8
translation initiation
8
open reading
8
reading frames
8
evidences
6
translation
6
circrna
6
circrnas
5
transcirc
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!