Sorry, I don't understand your search. ×
Back to Search Start Over

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

Authors :
Wendi Huang
Yunchao Ling
S.H. Zhang
Zhaoyuan Fang
Xiaojuan Fan
Guoqing Zhang
Ruifang Cao
Zefeng Wang
Qiguang Xia
Source :
Nucleic Acids Research
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

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.

Details

ISSN :
13624962 and 03051048
Volume :
49
Database :
OpenAIRE
Journal :
Nucleic Acids Research
Accession number :
edsair.doi.dedup.....c0f4901098d15087a09dc88b2adec4ec
Full Text :
https://doi.org/10.1093/nar/gkaa823