Standardized annotation of translated open reading frames Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.1038/s41587-022-01369-0
Ribosome profiling (Ribo-seq) has extended our understanding of the translational ‘vocabulary’ of the human genome, uncovering thousands of open reading frames (ORFs) within long noncoding RNAs (lncRNAs) and presumed untranslated regions (UTRs) of protein-coding genes. However, reference gene annotation projects have been circumspect in their incorporation of these ORFs because of uncertainties about their experimental reproducibility and physiological roles. Yet, it is clear that certain ‘Ribo-seq ORFs’ make stable proteins, others mediate gene regulation, and many have medical implications. Ultimately, the absence of standardized ORF annotation has created a circular problem: while Ribo-seq ORFs remain unrecognized by reference annotation databases, this lack of recognition will thwart studies examining their roles. Here, we outline a community-led effort involving Ensembl/GENCODE, the HUGO Gene Nomenclature Committee (HGNC), UniProtKB, HUPO/HPP and PeptideAtlas to produce a standardized catalog of 7,264 human Ribo-seq ORFs; a path to bring protein-level evidence for Ribo-seq ORFs into reference annotation databases; and a roadmap to facilitate research in the global community.
Related Topics
- Type
- letter
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41587-022-01369-0
- https://www.nature.com/articles/s41587-022-01369-0.pdf
- OA Status
- hybrid
- Cited By
- 221
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4285084440
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4285084440Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41587-022-01369-0Digital Object Identifier
- Title
-
Standardized annotation of translated open reading framesWork title
- Type
-
letterOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-07-01Full publication date if available
- Authors
-
Jonathan M. Mudge, Jorge Ruiz‐Orera, John R. Prensner, Marie A. Brunet, Ferriol Calvet, Irwin Jungreis, José M. González, Michele Magrane, Thomas F. Martínez, Jana Felicitas Schulz, Yucheng Yang, M. Mar Albà, Julie L. Aspden, Pavel V. Baranov, Ariel Bazzini, Elspeth A. Bruford, María Martín, Lorenzo Calviello, Anne‐Ruxandra Carvunis, Jin Chen, Juan Pablo Couso, Eric W. Deutsch, Paul Flicek, Adam Frankish, Mark Gerstein, Norbert Hübner, Nicholas T. Ingolia, Manolis Kellis, Gerben Menschaert, Robert L. Moritz, Uwe Ohler, Xavier Roucou, Alan Saghatelian, Jonathan S. Weissman, Sebastiaan van HeeschList of authors in order
- Landing page
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https://doi.org/10.1038/s41587-022-01369-0Publisher landing page
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https://www.nature.com/articles/s41587-022-01369-0.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://www.nature.com/articles/s41587-022-01369-0.pdfDirect OA link when available
- Concepts
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Annotation, Open reading frame, Reading (process), Computer science, Information retrieval, Computational biology, Natural language processing, Biology, Artificial intelligence, Linguistics, Genetics, Philosophy, Peptide sequence, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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221Total citation count in OpenAlex
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2025: 67, 2024: 78, 2023: 54, 2022: 19, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.genome, | 14 |
| abstract_inverted_index.mediate | 71 |
| abstract_inverted_index.medical | 77 |
| abstract_inverted_index.outline | 112 |
| abstract_inverted_index.produce | 129 |
| abstract_inverted_index.reading | 19 |
| abstract_inverted_index.regions | 30 |
| abstract_inverted_index.roadmap | 153 |
| abstract_inverted_index.studies | 106 |
| abstract_inverted_index.HUPO/HPP | 125 |
| abstract_inverted_index.However, | 35 |
| abstract_inverted_index.Ribo-seq | 92, 136, 145 |
| abstract_inverted_index.Ribosome | 0 |
| abstract_inverted_index.circular | 89 |
| abstract_inverted_index.evidence | 143 |
| abstract_inverted_index.extended | 4 |
| abstract_inverted_index.presumed | 28 |
| abstract_inverted_index.problem: | 90 |
| abstract_inverted_index.projects | 39 |
| abstract_inverted_index.research | 156 |
| abstract_inverted_index.(lncRNAs) | 26 |
| abstract_inverted_index.Committee | 122 |
| abstract_inverted_index.examining | 107 |
| abstract_inverted_index.involving | 116 |
| abstract_inverted_index.noncoding | 24 |
| abstract_inverted_index.profiling | 1 |
| abstract_inverted_index.proteins, | 69 |
| abstract_inverted_index.reference | 36, 97, 148 |
| abstract_inverted_index.thousands | 16 |
| abstract_inverted_index.(Ribo-seq) | 2 |
| abstract_inverted_index.UniProtKB, | 124 |
| abstract_inverted_index.annotation | 38, 85, 98, 149 |
| abstract_inverted_index.community. | 160 |
| abstract_inverted_index.databases, | 99 |
| abstract_inverted_index.databases; | 150 |
| abstract_inverted_index.facilitate | 155 |
| abstract_inverted_index.uncovering | 15 |
| abstract_inverted_index.Ultimately, | 79 |
| abstract_inverted_index.circumspect | 42 |
| abstract_inverted_index.recognition | 103 |
| abstract_inverted_index.regulation, | 73 |
| abstract_inverted_index.‘Ribo-seq | 65 |
| abstract_inverted_index.Nomenclature | 121 |
| abstract_inverted_index.PeptideAtlas | 127 |
| abstract_inverted_index.experimental | 54 |
| abstract_inverted_index.standardized | 83, 131 |
| abstract_inverted_index.unrecognized | 95 |
| abstract_inverted_index.untranslated | 29 |
| abstract_inverted_index.community-led | 114 |
| abstract_inverted_index.implications. | 78 |
| abstract_inverted_index.incorporation | 45 |
| abstract_inverted_index.physiological | 57 |
| abstract_inverted_index.protein-level | 142 |
| abstract_inverted_index.translational | 9 |
| abstract_inverted_index.uncertainties | 51 |
| abstract_inverted_index.understanding | 6 |
| abstract_inverted_index.protein-coding | 33 |
| abstract_inverted_index.reproducibility | 55 |
| abstract_inverted_index.Ensembl/GENCODE, | 117 |
| abstract_inverted_index.‘vocabulary’ | 10 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5040905591, https://openalex.org/A5088885084, https://openalex.org/A5038283509, https://openalex.org/A5090136020 |
| countries_distinct_count | 9 |
| institutions_distinct_count | 35 |
| corresponding_institution_ids | https://openalex.org/I107606265, https://openalex.org/I1303153112, https://openalex.org/I205582932, https://openalex.org/I4210127118 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.8600000143051147 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.99773841 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |