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The new uORFdb: integrating literature, sequence, and variation data in a central hub for uORF research

Upstream open reading frames (uORFs) are initiated by AUG or near-cognate start codons and have been identified in the transcript leader sequences of the majority of eukaryotic transcripts. Functionally, uORFs are implicated in downstream translational regulation of the main protein coding sequence...

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Autores principales: Manske, Felix, Ogoniak, Lynn, Jürgens, Lara, Grundmann, Norbert, Makałowski, Wojciech, Wethmar, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825577/
https://www.ncbi.nlm.nih.gov/pubmed/36305828
http://dx.doi.org/10.1093/nar/gkac899
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author Manske, Felix
Ogoniak, Lynn
Jürgens, Lara
Grundmann, Norbert
Makałowski, Wojciech
Wethmar, Klaus
author_facet Manske, Felix
Ogoniak, Lynn
Jürgens, Lara
Grundmann, Norbert
Makałowski, Wojciech
Wethmar, Klaus
author_sort Manske, Felix
collection PubMed
description Upstream open reading frames (uORFs) are initiated by AUG or near-cognate start codons and have been identified in the transcript leader sequences of the majority of eukaryotic transcripts. Functionally, uORFs are implicated in downstream translational regulation of the main protein coding sequence and may serve as a source of non-canonical peptides. Genetic defects in uORF sequences have been linked to the development of various diseases, including cancer. To simplify uORF-related research, the initial release of uORFdb in 2014 provided a comprehensive and manually curated collection of uORF-related literature. Here, we present an updated sequence-based version of uORFdb, accessible at https://www.bioinformatics.uni-muenster.de/tools/uorfdb. The new uORFdb enables users to directly access sequence information, graphical displays, and genetic variation data for over 2.4 million human uORFs. It also includes sequence data of >4.2 million uORFs in 12 additional species. Multiple uORFs can be displayed in transcript- and reading-frame-specific models to visualize the translational context. A variety of filters, sequence-related information, and links to external resources (UCSC Genome Browser, dbSNP, ClinVar) facilitate immediate in-depth analysis of individual uORFs. The database also contains uORF-related somatic variation data obtained from whole-genome sequencing (WGS) analyses of 677 cancer samples collected by the TCGA consortium.
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spelling pubmed-98255772023-01-10 The new uORFdb: integrating literature, sequence, and variation data in a central hub for uORF research Manske, Felix Ogoniak, Lynn Jürgens, Lara Grundmann, Norbert Makałowski, Wojciech Wethmar, Klaus Nucleic Acids Res Database Issue Upstream open reading frames (uORFs) are initiated by AUG or near-cognate start codons and have been identified in the transcript leader sequences of the majority of eukaryotic transcripts. Functionally, uORFs are implicated in downstream translational regulation of the main protein coding sequence and may serve as a source of non-canonical peptides. Genetic defects in uORF sequences have been linked to the development of various diseases, including cancer. To simplify uORF-related research, the initial release of uORFdb in 2014 provided a comprehensive and manually curated collection of uORF-related literature. Here, we present an updated sequence-based version of uORFdb, accessible at https://www.bioinformatics.uni-muenster.de/tools/uorfdb. The new uORFdb enables users to directly access sequence information, graphical displays, and genetic variation data for over 2.4 million human uORFs. It also includes sequence data of >4.2 million uORFs in 12 additional species. Multiple uORFs can be displayed in transcript- and reading-frame-specific models to visualize the translational context. A variety of filters, sequence-related information, and links to external resources (UCSC Genome Browser, dbSNP, ClinVar) facilitate immediate in-depth analysis of individual uORFs. The database also contains uORF-related somatic variation data obtained from whole-genome sequencing (WGS) analyses of 677 cancer samples collected by the TCGA consortium. Oxford University Press 2022-10-28 /pmc/articles/PMC9825577/ /pubmed/36305828 http://dx.doi.org/10.1093/nar/gkac899 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://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
Manske, Felix
Ogoniak, Lynn
Jürgens, Lara
Grundmann, Norbert
Makałowski, Wojciech
Wethmar, Klaus
The new uORFdb: integrating literature, sequence, and variation data in a central hub for uORF research
title The new uORFdb: integrating literature, sequence, and variation data in a central hub for uORF research
title_full The new uORFdb: integrating literature, sequence, and variation data in a central hub for uORF research
title_fullStr The new uORFdb: integrating literature, sequence, and variation data in a central hub for uORF research
title_full_unstemmed The new uORFdb: integrating literature, sequence, and variation data in a central hub for uORF research
title_short The new uORFdb: integrating literature, sequence, and variation data in a central hub for uORF research
title_sort new uorfdb: integrating literature, sequence, and variation data in a central hub for uorf research
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825577/
https://www.ncbi.nlm.nih.gov/pubmed/36305828
http://dx.doi.org/10.1093/nar/gkac899
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