Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1783631235048800256 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7778967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT huangwendi transcircaninteractivedatabasefortranslatablecircularrnasbasedonmultiomicsevidence AT lingyunchao transcircaninteractivedatabasefortranslatablecircularrnasbasedonmultiomicsevidence AT zhangsirui transcircaninteractivedatabasefortranslatablecircularrnasbasedonmultiomicsevidence AT xiaqiguang transcircaninteractivedatabasefortranslatablecircularrnasbasedonmultiomicsevidence AT caoruifang transcircaninteractivedatabasefortranslatablecircularrnasbasedonmultiomicsevidence AT fanxiaojuan transcircaninteractivedatabasefortranslatablecircularrnasbasedonmultiomicsevidence AT fangzhaoyuan transcircaninteractivedatabasefortranslatablecircularrnasbasedonmultiomicsevidence AT wangzefeng transcircaninteractivedatabasefortranslatablecircularrnasbasedonmultiomicsevidence AT zhangguoqing transcircaninteractivedatabasefortranslatablecircularrnasbasedonmultiomicsevidence |