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

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 c...

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Autores principales: Huang, Wendi, Ling, Yunchao, Zhang, Sirui, Xia, Qiguang, Cao, Ruifang, Fan, Xiaojuan, Fang, Zhaoyuan, Wang, Zefeng, Zhang, Guoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778967/
https://www.ncbi.nlm.nih.gov/pubmed/33074314
http://dx.doi.org/10.1093/nar/gkaa823
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author Huang, Wendi
Ling, Yunchao
Zhang, Sirui
Xia, Qiguang
Cao, Ruifang
Fan, Xiaojuan
Fang, Zhaoyuan
Wang, Zefeng
Zhang, Guoqing
author_facet Huang, Wendi
Ling, Yunchao
Zhang, Sirui
Xia, Qiguang
Cao, Ruifang
Fan, Xiaojuan
Fang, Zhaoyuan
Wang, Zefeng
Zhang, Guoqing
author_sort Huang, Wendi
collection PubMed
description 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.
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spelling pubmed-77789672021-01-06 TransCirc: an interactive database for translatable circular RNAs based on multi-omics evidence Huang, Wendi Ling, Yunchao Zhang, Sirui Xia, Qiguang Cao, Ruifang Fan, Xiaojuan Fang, Zhaoyuan Wang, Zefeng Zhang, Guoqing Nucleic Acids Res Database Issue 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. Oxford University Press 2020-10-19 /pmc/articles/PMC7778967/ /pubmed/33074314 http://dx.doi.org/10.1093/nar/gkaa823 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Huang, Wendi
Ling, Yunchao
Zhang, Sirui
Xia, Qiguang
Cao, Ruifang
Fan, Xiaojuan
Fang, Zhaoyuan
Wang, Zefeng
Zhang, Guoqing
TransCirc: an interactive database for translatable circular RNAs based on multi-omics evidence
title TransCirc: an interactive database for translatable circular RNAs based on multi-omics evidence
title_full TransCirc: an interactive database for translatable circular RNAs based on multi-omics evidence
title_fullStr TransCirc: an interactive database for translatable circular RNAs based on multi-omics evidence
title_full_unstemmed TransCirc: an interactive database for translatable circular RNAs based on multi-omics evidence
title_short TransCirc: an interactive database for translatable circular RNAs based on multi-omics evidence
title_sort transcirc: an interactive database for translatable circular rnas based on multi-omics evidence
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778967/
https://www.ncbi.nlm.nih.gov/pubmed/33074314
http://dx.doi.org/10.1093/nar/gkaa823
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