Upstream open reading frames may contain hundreds of novel human exons
Open accessPublished version of a preprint
Abstract
Several recent studies have presented evidence that the human gene catalogue should be expanded to include thousands of short open reading frames (ORFs) appearing upstream or downstream of existing protein-coding genes, each of which might create an additional bicistronic transcript in humans. Here we explore an alternative hypothesis that would explain the translational and evolutionary evidence for these upstream ORFs without the need to create novel genes or bicistronic transcripts. We examined 2,199 upstream ORFs that have been proposed as high-quality candidates for novel genes, to determine if they could instead represent protein-coding exons that can be added to existing genes. We checked for the conservation of these ORFs in four recently sequenced, high-quality human genomes, and found a large majority (87.8%) to be conserved in all four as expected. We then looked for splicing evidence that would connect each upstream ORF to the downstream protein-coding gene at the same locus, thus creating a novel splicing variant using the upstream ORF as its first exon. These protein coding exon candidates were further evaluated using protein structure predictions of the protein sequences that included the proposed new exons. We determined that 541 out of 2,199 upstream ORFs have strong evidence that they can form protein coding exons that are part of an existing gene, and that the resulting protein is predicted to have similar or better structural quality than the currently annotated isoform.
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Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
Minimap2: Pairwise alignment for nucleotide sequences
Li, H. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty191 · Cited by 14,807 · see citing works
ColabFold - Making protein folding accessible to all
Mirdita, M., Schütze, K., Moriwaki, Y., Heo, L., Ovchinnikov, S., & Steinegger, M. (2021) · doi:10.1101/2021.08.15.456425 · Cited by 9,391 · see citing works
The complete sequence of a human genome
Nurk, S., Koren, S., Rhie, A., Rautiainen, M., Bzikadze, A. V., Mikheenko, A., Vollger, M. R., Altemose, N., Uralsky, L., Gershman, A., et al. (2022) · Science · doi:10.1126/science.abj6987 · Cited by 3,136 · see citing works
Self-citationLiftoff: accurate mapping of gene annotations
Shumate, A., & Salzberg, S. L. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa1016 · Cited by 991 · see citing works
Self-citationPervasive functional translation of noncanonical human open reading frames
Chen, J., Brunner, A., Cogan, J. Z., Nuñez, J. K., Fields, A. P., Adamson, B., Itzhak, D. N., Li, J. Y., Mann, M., Leonetti, M. D., et al. (2020) · Science · doi:10.1126/science.aay0262 · Cited by 654 · see citing works
The Translational Landscape of the Human Heart
van Heesch, S., Witte, F., Schneider-Lunitz, V., Schulz, J. F., Adami, E., Faber, A. B., Kirchner, M., Maatz, H., Blachut, S., Sandmann, C.-L., et al. (2019) · Cell · doi:10.1016/j.cell.2019.05.010 · Cited by 619 · see citing works
A joint NCBI and EMBL-EBI transcript set for clinical genomics and research
Morales, J., Pujar, S., Loveland, J. E., Astashyn, A., Bennett, R., Berry, A., Cox, E., Davidson, C., Ermolaeva, O., Farrell, C. M., et al. (2022) · Nature · doi:10.1038/s41586-022-04558-8 · Cited by 571 · see citing works
Ji, Z., Song, R., Regev, A., & Struhl, K. (2015) · eLife · doi:10.7554/elife.08890 · Cited by 571 · see citing works
Ribosome profiling reveals the what, when, where and how of protein synthesis
Brar, G. A., & Weissman, J. S. (2015) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm4069 · Cited by 535 · see citing works
Detecting actively translated open reading frames in ribosome profiling data
Calviello, L., Mukherjee, N., Wyler, E., Zauber, H., Hirsekorn, A., Selbach, M., Landthaler, M., Obermayer, B., & Ohler, U. (2015) · Nature Methods · doi:10.1038/nmeth.3688 · Cited by 415 · see citing works
The Genotype-Tissue Expression (GTEx) project
Lonsdale, J., Thomas, J., Salvatore, M., Phillips, R., Lo, E., Shad, S., Hasz, R., Walters, G., Garcia, F., Young, N., et al. (2013) · Nature Genetics · doi:10.1038/ng.2653 · Cited by 263 · see citing works
Standardized annotation of translated open reading frames
Mudge, J. M., Ruiz‐Orera, J., Prensner, J. R., Brunet, M. A., Calvet, F., Jungreis, I., González, J. M., Magrane, M., Martinez, T. F., Schulz, J. F., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01369-0 · Cited by 251 · see citing works
Accurate annotation of human protein-coding small open reading frames
Martinez, T. F., Chu, Q., Donaldson, C. J., Tan, D., Shokhirev, M. N., & Saghatelian, A. (2019) · Nature Chemical Biology · doi:10.1038/s41589-019-0425-0 · Cited by 232 · see citing works
Noncanonical open reading frames encode functional proteins essential for cancer cell survival
Prensner, J. R., Enache, O. M., Luria, V., Krug, K., Clauser, K. R., Dempster, J. M., Karger, A., Wang, L., Stumbraite, K., Wang, V. M., et al. (2021) · Nature Biotechnology · doi:10.1038/s41587-020-00806-2 · Cited by 201 · see citing works
The status of the human gene catalogue
Amaral, P., Sala, S. C., Vega, F. M. D. L., Faial, T., Frankish, A., Gingeras, T., Guigó, R., Harrow, J., Hatzigeorgiou, A. G., Johnson, R., et al. (2023) · Nature · doi:10.1038/s41586-023-06490-x · Cited by 175 · see citing works
Self-citationThousands of novel translated open reading frames in humans inferred by ribosome footprint profiling
Raj, A., Wang, S. H., Shim, H., Harpak, A., Li, Y., Engelmann, B. W., Stephens, M., Gilad, Y., & Pritchard, J. K. (2016) · eLife · doi:10.7554/elife.13328 · Cited by 142 · see citing works
What Can Ribo-Seq, Immunopeptidomics, and Proteomics Tell Us About the Noncanonical Proteome?
Prensner, J. R., Abelin, J. G., Kok, L. W., Clauser, K. R., Mudge, J. M., Ruiz‐Orera, J., Bassani‐Sternberg, M., Moritz, R. L., Deutsch, E. W., & van Heesch, S. (2023) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2023.100631 · Cited by 107 · see citing works
Simarro, M., Giménez-Cassina, A., Kedersha, N., Lazaro, J., Adelmant, G., Marto, J. A., Rhee, K., Tisdale, S., Danial, N. N., Benarafa, C., et al. (2010) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2010.09.075 · Cited by 77 · see citing works
Yeung, K. T., Das, S., Zhang, J., Lomniczi, A., Ojeda, S. R., Xu, C.-F., Neubert, T. A., & Samuels, H. H. (2011) · Molecular and Cellular Biology · doi:10.1128/mcb.01381-10 · Cited by 70 · see citing works
Assembly and annotation of an Ashkenazi human reference genome
Shumate, A., Zimin, A. V., Sherman, R. M., Puiu, D., Wagner, J., Olson, N. D., Pertea, M., Salit, M., Zook, J. M., & Salzberg, S. L. (2020) · Genome biology · doi:10.1186/s13059-020-02047-7 · Cited by 57 · see citing works
Self-citationVarabyou, A., Sommer, M. J., Erdogdu, B., Shinder, I., Minkin, I., Chao, K.-H., Park, S., Heinz, J., Pockrandt, C., Shumate, A., et al. (2023) · Genome Biology · doi:10.1186/s13059-023-03088-4 · Cited by 54 · see citing works
Self-citationGaertner, B., van Heesch, S., Schneider-Lunitz, V., Schulz, J., Witte, F., Blachut, S., Nguyen, S., Wong, R., Matta, I., Hübner, N., et al. (2020) · eLife · doi:10.7554/elife.58659 · Cited by 35 · see citing works
Splam: a deep-learning-based splice site predictor that improves spliced alignments
Chao, K.-H., Mao, A., Salzberg, S. L., & Pertea, M. (2024) · Genome biology · doi:10.1186/s13059-024-03379-4 · Cited by 27 · see citing works
Self-citationA reference-quality, fully annotated genome from a Puerto Rican individual
Zimin, A. V., Shumate, A., Shinder, I., Heinz, J., Puiu, D., Pertea, M., & Salzberg, S. L. (2021) · Genetics · doi:10.1093/genetics/iyab227 · Cited by 26 · see citing works
Self-citationThe first gapless, reference-quality, fully annotated genome from a Southern Han Chinese individual
Chao, K.-H., Zimin, A. V., Pertea, M., & Salzberg, S. L. (2023) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkac321 · Cited by 25 · see citing works
Self-citationTieBrush: an efficient method for aggregating and summarizing mapped reads across large datasets
Varabyou, A., Pertea, G. M., Pockrandt, C., & Pertea, M. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btab342 · Cited by 17 · see citing works
A Massive Proteogenomic Screen Identifies Thousands of Novel Peptides From the Human “Dark” Proteome
Cao, X., Sun, S., & Xing, J. (2024) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2024.100719 · Cited by 14 · see citing works
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Chothani, S. P., Ruiz‐Orera, J., Tierney, J. A. S., Świrski, M. I., Tjeldnes, H., Kok, L. W., Clauwaert, J., Deutsch, E. W., Albà, M. M., Aspden, J. L., et al. (2026) · Nucleic Acids Research · doi:10.1093/nar/gkag234 · Cited by 22 · see citing works
Balakrishnan, A., Winiarek, G., Hołówka, O., Godlewski, J. A., & Bronisz, A. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1540431 · Cited by 19 · see citing works
Emergence and evolution of protein-coding de novo genes
Bornberg‐Bauer, E., & Eicholt, L. A. (2026) · Nature Reviews Genetics · doi:10.1038/s41576-025-00929-9 · Cited by 15 · see citing works
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Ji, H. J., Pertea, M., & Salzberg, S. L. (2026) · Nature Reviews Genetics · doi:10.1038/s41576-026-00937-3 · Cited by 8 · see citing works
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Fournier, I., & Salzet, M. (2026) · Trends Open · doi:10.1016/j.treopn.2026.04.002
- Authors
- Ji, H. J., & Salzberg, S. L.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Ji, Hyun Joo
- Venue
- PLOS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2024-11-20
- Volume
- 20
- Issue
- 11
- Pages
- e1012543
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- PMC
- PMC11578521
- OpenAlex
- W4404565842
- Cited by
- 6
- References
- 28
- Citations by year
- 2026: 4 · 2025: 2
- FWCI
- 0.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS Computational Biology (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Human Genome Research Institute (R01-HG006677)
- National Institute of Mental Health (R01-MH123567)
- National Institute of General Medical Sciences (R35-GM130151)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Keywords
- upstream open reading frames, novel exons, alternative splicing, bicistronic transcripts, genome annotation, exon conservation, protein structure prediction
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