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Ribo-uORF: a comprehensive data resource of upstream open reading frames (uORFs) based on ribosome profiling
Upstream open reading frames (uORFs) are typically defined as translation sites located within the 5′ untranslated region upstream of the main protein coding sequence (CDS) of messenger RNAs (mRNAs). Although uORFs are prevalent in eukaryotic mRNAs and modulate the translation of downstream CDSs, a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825487/ https://www.ncbi.nlm.nih.gov/pubmed/36440758 http://dx.doi.org/10.1093/nar/gkac1094 |
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author | Liu, Qi Peng, Xin Shen, Mengyuan Qian, Qian Xing, Junlian Li, Chen Gregory, Richard I |
author_facet | Liu, Qi Peng, Xin Shen, Mengyuan Qian, Qian Xing, Junlian Li, Chen Gregory, Richard I |
author_sort | Liu, Qi |
collection | PubMed |
description | Upstream open reading frames (uORFs) are typically defined as translation sites located within the 5′ untranslated region upstream of the main protein coding sequence (CDS) of messenger RNAs (mRNAs). Although uORFs are prevalent in eukaryotic mRNAs and modulate the translation of downstream CDSs, a comprehensive resource for uORFs is currently lacking. We developed Ribo-uORF (http://rnainformatics.org.cn/RiboUORF) to serve as a comprehensive functional resource for uORF analysis based on ribosome profiling (Ribo-seq) data. Ribo-uORF currently supports six species: human, mouse, rat, zebrafish, fruit fly, and worm. Ribo-uORF includes 501 554 actively translated uORFs and 107 914 upstream translation initiation sites (uTIS), which were identified from 1495 Ribo-seq and 77 quantitative translation initiation sequencing (QTI-seq) datasets, respectively. We also developed mRNAbrowse to visualize items such as uORFs, cis-regulatory elements, genetic variations, eQTLs, GWAS-based associations, RNA modifications, and RNA editing. Ribo-uORF provides a very intuitive web interface for conveniently browsing, searching, and visualizing uORF data. Finally, uORFscan and UTR5var were developed in Ribo-uORF to precisely identify uORFs and analyze the influence of genetic mutations on uORFs using user-uploaded datasets. Ribo-uORF should greatly facilitate studies of uORFs and their roles in mRNA translation and posttranscriptional control of gene expression. |
format | Online Article Text |
id | pubmed-9825487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98254872023-01-10 Ribo-uORF: a comprehensive data resource of upstream open reading frames (uORFs) based on ribosome profiling Liu, Qi Peng, Xin Shen, Mengyuan Qian, Qian Xing, Junlian Li, Chen Gregory, Richard I Nucleic Acids Res Database Issue Upstream open reading frames (uORFs) are typically defined as translation sites located within the 5′ untranslated region upstream of the main protein coding sequence (CDS) of messenger RNAs (mRNAs). Although uORFs are prevalent in eukaryotic mRNAs and modulate the translation of downstream CDSs, a comprehensive resource for uORFs is currently lacking. We developed Ribo-uORF (http://rnainformatics.org.cn/RiboUORF) to serve as a comprehensive functional resource for uORF analysis based on ribosome profiling (Ribo-seq) data. Ribo-uORF currently supports six species: human, mouse, rat, zebrafish, fruit fly, and worm. Ribo-uORF includes 501 554 actively translated uORFs and 107 914 upstream translation initiation sites (uTIS), which were identified from 1495 Ribo-seq and 77 quantitative translation initiation sequencing (QTI-seq) datasets, respectively. We also developed mRNAbrowse to visualize items such as uORFs, cis-regulatory elements, genetic variations, eQTLs, GWAS-based associations, RNA modifications, and RNA editing. Ribo-uORF provides a very intuitive web interface for conveniently browsing, searching, and visualizing uORF data. Finally, uORFscan and UTR5var were developed in Ribo-uORF to precisely identify uORFs and analyze the influence of genetic mutations on uORFs using user-uploaded datasets. Ribo-uORF should greatly facilitate studies of uORFs and their roles in mRNA translation and posttranscriptional control of gene expression. Oxford University Press 2022-11-28 /pmc/articles/PMC9825487/ /pubmed/36440758 http://dx.doi.org/10.1093/nar/gkac1094 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Liu, Qi Peng, Xin Shen, Mengyuan Qian, Qian Xing, Junlian Li, Chen Gregory, Richard I Ribo-uORF: a comprehensive data resource of upstream open reading frames (uORFs) based on ribosome profiling |
title | Ribo-uORF: a comprehensive data resource of upstream open reading frames (uORFs) based on ribosome profiling |
title_full | Ribo-uORF: a comprehensive data resource of upstream open reading frames (uORFs) based on ribosome profiling |
title_fullStr | Ribo-uORF: a comprehensive data resource of upstream open reading frames (uORFs) based on ribosome profiling |
title_full_unstemmed | Ribo-uORF: a comprehensive data resource of upstream open reading frames (uORFs) based on ribosome profiling |
title_short | Ribo-uORF: a comprehensive data resource of upstream open reading frames (uORFs) based on ribosome profiling |
title_sort | ribo-uorf: a comprehensive data resource of upstream open reading frames (uorfs) based on ribosome profiling |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825487/ https://www.ncbi.nlm.nih.gov/pubmed/36440758 http://dx.doi.org/10.1093/nar/gkac1094 |
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