Discovery of high-confidence human protein-coding genes and exons by whole-genome PhyloCSF helps elucidate 118 GWAS loci
Open accessAbstract
The most widely appreciated role of DNA is to encode protein, yet the exact portion of the human genome that is translated remains to be ascertained. We previously developed PhyloCSF, a widely used tool to identify evolutionary signatures of protein-coding regions using multispecies genome alignments. Here, we present the first whole-genome PhyloCSF prediction tracks for human, mouse, chicken, fly, worm, and mosquito. We develop a workflow that uses machine learning to predict novel conserved protein-coding regions and efficiently guide their manual curation. We analyze more than 1000 high-scoring human PhyloCSF regions and confidently add 144 conserved protein-coding genes to the GENCODE gene set, as well as additional coding regions within 236 previously annotated protein-coding genes, and 169 pseudogenes, most of them disabled after primates diverged. The majority of these represent new discoveries, including 70 previously undetected protein-coding genes. The novel coding genes are additionally supported by single-nucleotide variant evidence indicative of continued purifying selection in the human lineage, coding-exon splicing evidence from new GENCODE transcripts using next-generation transcriptomic data sets, and mass spectrometry evidence of translation for several new genes. Our discoveries required simultaneous comparative annotation of other vertebrate genomes, which we show is essential to remove spurious ORFs and to distinguish coding from pseudogene regions. Our new coding regions help elucidate disease-associated regions by revealing that 118 GWAS variants previously thought to be noncoding are in fact protein altering. Altogether, our PhyloCSF data sets and algorithms will help researchers seeking to interpret these genomes, while our new annotations present exciting loci for further experimental characterization.
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lncMtDloop has no protein-coding potential.
“confirming that the lncMtDloop has no protein-coding potentials”
From The mitochondrial long non-coding RNA lncMtloop regulates mitochondrial transcription and suppresses Alzheimer’s disease (2024) · cites this paper as Mudge et al, 2019
The Results passages discuss coding potential in other genes and lncRNAs, but do not address lncMtDloop. Searches for “lncMtDloop” and “mitochondrial D-loop lncRNA no protein coding potential” found no passage assessing its coding potential. (LLM, conf=0.72)
Experimental — accuracy not yet measured
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Cites
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669 · cited 1× · see citing works
“Potential orthologs were initially sought using BLASTP (Altschul et al. 1990) on the vertebrate protein database atNCBI(NCBIResourceCoordinators2017)andexaminedintheir genomiccontextusingtheUCSC(Casperetal.2017)andEnsembl (Zerbino et al. 2018) Genome Browsers.”
MethodInitial sequencing and analysis of the human genome
International Human Genome Sequencing Consortium, Whitehead Institute for Biomedical Research, C. F. G. R., Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., Devon, K., Dewar, K., et al. (2001) · Nature · doi:10.1038/35057062 · Cited by 24,216 · cited 1× · see citing works
“It has been almost two decades since the first high-quality sequences from the human genome became available (International Human Genome Sequencing Consortium 2001; Venter et al. 2001).”
Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega
Sievers, F., Wilm, A., Dineen, D., Gibson, T., Karplus, K., Li, W.-Z., Lopez, R., McWilliam, H., Remmert, M., Söding, J., et al. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.75 · Cited by 15,576 · cited 1× · see citing works
“Multispecies protein alignments were created using Clustal Omega (Sievers et al. 2011).”
MethodDatabase resources of the National Center for Biotechnology Information: update
Wheeler, D. L. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh073 · Cited by 10,691 · see citing works
Mccormick, D. (1986) · Bio/Technology · doi:10.1038/nbt1186-925 · Cited by 8,961 · cited 1×
“It has been almost two decades since the first high-quality sequences from the human genome became available (International Human Genome Sequencing Consortium 2001; Venter et al. 2001).”
BackgroundUniProt: a worldwide hub of protein knowledge
The UniProt Consortium (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1049 · Cited by 7,698 · see citing works
O'Leary, N. A., Wright, M. W., Brister, J. R., Ciufo, S., Haddad, D., McVeigh, R., Rajput, B., Robbertse, B., Smith-White, B., Ako-Adjei, D., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1189 · Cited by 6,357 · cited 12× · see citing works
“At present, the two main human gene annotation projects, Ensembl/GENCODE (Harrow et al. 2012; Frankish et al. 2018; Zerbino et al. 2018) (henceforth GENCODE) and RefSeq (O’Leary et al. 2016), as well as the UniProt protein resource (The UniProt Consortium 2019), disagree on the number of human protein-coding genes (Ab…”
BackgroundInfluentialDatabase resources of the National Center for Biotechnology Information
Agarwala, R., Barrett, T., Beck, J., Benson, D., Bollin, C., Bolton, E. E., Bourexis, D., Brister, J., Bryant, S. H., Canese, K., et al. (2017) · Nucleic Acids Res. · doi:10.1093/nar/gkx1095 · Cited by 6,277 · see citing works
The zebrafish reference genome sequence and its relationship to the human genome.
Howe, K., Clark, M. D., Torroja, C. F., Torrance, J., Berthelot, C., Muffato, M., Collins, J. E., Humphray, S., McLaren, K., Matthews, L., et al. (2013) · Nature · doi:10.1038/nature12111 · Cited by 5,100 · see citing works
Self-citationGENCODE: The reference human genome annotation for The ENCODE Project
Harrow, J., Frankish, A., Gonzalez, J. M., Tapanari, E., Diekhans, M., Kokocinski, F., Aken, B. L., Barrell, D., Zadissa, A., Searle, S., et al. (2012) · Genome Research · doi:10.1101/gr.135350.111 · Cited by 4,585 · cited 3× · see citing works
“At present, the two main human gene annotation projects, Ensembl/GEN-CODE (Harrow et al. 2012; Frankish et al. 2018; Zerbino et al. 2018) (henceforth GENCODE) and RefSeq (O ’ Leary et al. 2016), as well as the UniProt protein resource (The UniProt Consortium 2019), disagree on the number of human protein-coding genes…”
BackgroundMethodSelf-citationEvolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes
Siepel, A., Bejerano, G., Pedersen, J. S., Hinrichs, A. S., Hou, M., Rosenbloom, K., Clawson, H., Spieth, J., Hillier, L. W., Richards, S., et al. (2005) · Genome Research · doi:10.1101/gr.3715005 · Cited by 4,408 · cited 1× · see citing works
“The PhyloCSF tracks differ from other conservation browser tracks such as phyloP (Pollard et al. 2010) and phastCons (Siepel et al. 2005) in that the PhyloCSF tracks represent a signal of constraint specifically for protein-coding function, whereas the signal represented by other tracks is…”
BackgroundGenome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling
Ingolia, N. T., Ghaemmaghami, S., Newman, J. R. S., & Weissman, J. S. (2009) · Science · doi:10.1126/science.1168978 · Cited by 3,853 · cited 3× · see citing works
“Meanwhile, ribosome profiling (RP) circumvents the experimental challenges in working with proteins, capturing sequence from the region of an RNA molecule that is attached to a ribosome (Ingolia et al. 2009).”
Background2016 update of the PRIDE database and its related tools
Vizcaíno, J. A., Csordás, A., del‐Toro, N., Dianes, J. A., Griss, J., Lavidas, I., Mayer, G., Pérez‐Riverol, Y., Reisinger, F., Ternent, T., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1145 · Cited by 3,466 · see citing works
GENCODE reference annotation for the human and mouse genomes
Frankish, A., Diekhans, M., Ferreira, A.-M., Johnson, R., Jungreis, I., Loveland, J. E., Mudge, J. M., Sisu, C., Wright, J. C., Armstrong, J. C., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky955 · Cited by 2,929 · cited 1× · see citing works
“At present, the two main human gene annotation projects, Ensembl/GEN-CODE (Harrow et al. 2012; Frankish et al. 2018; Zerbino et al. 2018) (henceforth GENCODE) and RefSeq (O ’ Leary et al. 2016), as well as the UniProt protein resource (The UniProt Consortium 2019), disagree on the number of human…”
BackgroundSelf-citationA subcellular map of the human proteome
Thul, P. J., Åkesson, L., Wiking, M., Mahdessian, D., Geladaki, A., Ait Blal, H., Alm, T., Asplund, A., Björk, L., Breckels, L. M., et al. (2017) · Science · doi:10.1126/science.aal3321 · Cited by 2,813 · cited 4× · see citing works
“…used by several projects seeking to provide catalogs of protein function, including neXtProt (via UniProt) and the Human Protein Atlas (Gaudet et al. 2017; Thul et al. 2017); we anticipate that such resources will in due course provide valuable insights into these genes based on experimental data.”
BackgroundInfluentialZerbino, D. R., Achuthan, P., Akanni, W., Amode, M. R., Barrell, D., Bhai, J., Billis, K., Cummins, C., Gall, A., Girón, C. G., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1098 · Cited by 2,605 · cited 1× · see citing works
“In fact, our 5′ UTR–associated examples include three cases in which protein existence has been confirmed by others through laboratory work: within the 5′ UTRs of MIEF1 (Rathore et al. 2018), MKKS (Akimoto et al. 2013), and RAB34 (Zougman et al. 2011).”
BackgroundSelf-citationDetection of nonneutral substitution rates on mammalian phylogenies
Pollard, K. S., Hubisz, M. J., Rosenbloom, K. R., & Siepel, A. (2010) · Genome Research · doi:10.1101/gr.097857.109 · Cited by 2,353 · cited 1× · see citing works
“The PhyloCSF tracks differ from other conservation browser tracks such as phyloP (Pollard et al. 2010) and phastCons (Siepel et al. 2005) in that the PhyloCSF tracks represent a signal of constraint specifically for protein-coding function, whereas the signal represented by other tracks is…”
BackgroundA draft map of the human proteome
Kim, M.-S., Pinto, S. M., Getnet, D., Nirujogi, R. S., Manda, S. S., Chaerkady, R., Madugundu, A. K., Kelkar, D. S., Isserlin, R., Jain, S., et al. (2014) · Nature · doi:10.1038/nature13302 · Cited by 2,198 · cited 4× · see citing works
“Meanwhile, we and others have previously found novel CDSs using mass spectrometry (Slavoff et al. 2012; Kim et al. 2014; Wilhelm et al. 2014; Weisser et al. 2016; Wright et al. 2016).”
BackgroundMethodInfluentialIngolia, N. T., Lareau, L. F., & Weissman, J. S. (2011) · Cell · doi:10.1016/j.cell.2011.10.002 · Cited by 2,187 · cited 2× · see citing works
“These data have been used to suggest the biological relevance of thousands of currently unannotated vertebrate open reading frames (ORFs) (Ingolia et al. 2011; Bazzini et al. 2014; Fields et al. 2015; Mackowiak et al. 9These authors contributed equally to this work.”
BackgroundMaximum Entropy Modeling of Short Sequence Motifs with Applications to RNA Splicing Signals
Yeo, G. W., & Burge, C. (2003) · Annual International Conference on Research in Computational Molecular Biology · doi:10.1145/640075.640118 · Cited by 2,178 · see citing works
A promoter-level mammalian expression atlas
The FANTOM Consortium and the RIKEN PMI and CLST (DGT) (2014) · Nature · doi:10.1038/nature13182 · Cited by 1,982 · see citing works
Mass-spectrometry-based draft of the human proteome
Wilhelm, M., Schlegl, J., Hahne, H., Gholami, A. M., Lieberenz, M., Savitski, M. M., Ziegler, E., Butzmann, L., Gessulat, S., Marx, H., et al. (2014) · Nature · doi:10.1038/nature13319 · Cited by 1,820 · cited 3× · see citing works
“…loci that we recently reported (Wright et al. 2016) based on a concurrent reanalysis of large “ draft proteome ” peptide data sets (Kim et al. 2014; Wilhelm et al. 2014) and all six loci from our analysis of testis data from the Chromosome-Centric Human Proteome Project (Supplemental Data S1, S2;…”
BackgroundMethodA high-resolution map of human evolutionary constraint using 29 mammals
Broad Institute Sequencing Platform and Whole Genome Assembly Team, Lindblad-Toh, K., Baylor College of Medicine Human Genome Sequencing Center Sequencing Team, Genome Institute at Washington University, Garber, M., Zuk, O., Lin, M. F., Parker, B. J., Washietl, S., Kheradpour, P., et al. (2011) · Nature · doi:10.1038/nature10530 · Cited by 1,108 · see citing works
Self-citationPhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regionsPreprint
Lin, M. F., Jungreis, I., & Kellis, M. (2010) · Nature Precedings · doi:10.1093/bioinformatics/btr209 · Cited by 1,008 · see citing works
Self-citationControl of somatic tissue differentiation by the long non-coding RNA TINCR
Kretz, M., Siprashvili, Z., Chu, C., Webster, D., Zehnder, A., Qu, K., Lee, C. S., Flockhart, R., Groff, A., Chow, J. M., et al. (2012) · Nature · doi:10.1038/nature11661 · Cited by 920 · cited 1× · see citing works
“Finally, we also recognize that certain reclassifications of lncRNAs as protein-coding genes would seem to contradict the findings of previous studies; this includes TUNAR (Lin et al. 2014) and TINCR (Kretz et al. 2013), both of which have ascribed noncoding functions.”
ResultCalvo, S. E., Pagliarini, D. J., & Mootha, V. K. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0810916106 · Cited by 914 · cited 1× · see citing works
“However, it remains unclear what proportion of these are regulatory ORFs that do not produce functional peptides and instead compete with the canonical CDS for ribosome binding, or else are simply stochastic interactions (Calvo et al. 2009; Bazzini et al. 2014; Johnstone et al. 2016).”
BackgroundDesiere, F. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj040 · Cited by 910 · cited 3× · see citing works
“We found thatan addition-alsevenofthesegenescurrentlyhavepeptidesupportaccordingto neXtProt/PeptideAtlas criteria (Supplemental Data S2), although these are less stringent and include samples from cancer cell lines.”
BackgroundInfluentialDatabase Resources of the National Center for Biotechnology Information
Coordinators, N. R. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1071 · Cited by 817 · see citing works
Proteogenomics: concepts, applications and computational strategies
Nesvizhskii, A. I. (2014) · Nature Methods · doi:10.1038/nmeth.3144 · Cited by 763 · cited 2× · see citing works
“…et al. 2016) has increased substantially in recent years, and although such data sets have been used to discover novel proteins in genomes including human (Slavoff et al. 2012), difficulties remain in the creation and interpretation of high-quality “ proteogenomic ” data sets (Nesvizhskii 2014).”
BackgroundRibosome Profiling Provides Evidence that Large Noncoding RNAs Do Not Encode Proteins
Guttman, M., Russell, P., Ingolia, N. T., Weissman, J. S., & Lander, E. S. (2013) · Cell · doi:10.1016/j.cell.2013.06.009 · Cited by 745 · see citing works
A peptide encoded by a transcript annotated as long noncoding RNA enhances SERCA activity in muscle
Nelson, B. R., Makarewich, C. A., Anderson, D. M., Winders, B. R., Troupes, C. D., Wu, F.-F., Reese, A. L., McAnally, J. R., Chen, X.-W., Kavalali, E., et al. (2016) · Science · doi:10.1126/science.aad4076 · Cited by 730 · cited 2× · see citing works
“2017), STRIT1 (Nelson et al. 2016), and MYMX (Bi et al.”
MethodPeptidomic discovery of short open reading frame–encoded peptides in human cells
Slavoff, S. A., Mitchell, A. J., Schwaid, A. G., Cabili, M. N., Ma, J., Levin, J. Z., Karger, A., Budnik, B., Rinn, J. L., & Saghatelian, A. (2012) · Nature Chemical Biology · doi:10.1038/nchembio.1120 · Cited by 678 · cited 2× · see citing works
“…et al. 2016) has increased substantially in recent years, and although such data sets have been used to discover novel proteins in genomes including human (Slavoff et al. 2012), difficulties remain in the creation and interpretation of high-quality “ proteogenomic ” data sets (Nesvizhskii 2014).”
BackgroundMethodBazzini, A., Johnstone, T. G., Christiano, R., Mackowiak, S. D., Obermayer, B., Fleming, E. S., Vejnar, C. E., Lee, M. T., Rajewsky, N., Walther, T. C., et al. (2014) · The EMBO Journal · doi:10.1002/embj.201488411 · Cited by 657 · cited 5× · see citing works
“…unclear to what extent ribosome attachment shows production of a functional protein, that is, one that makes a direct contribution to physiology (Bazzini et al. 2014), because ORFs can also undergo translation as part of gene regulation mechanisms, and a proportion of attachments could be…”
BackgroundMethodInfluentialA quantitative atlas of polyadenylation in five mammalsPreprint
Derti, A., Garrett-Engele, P. W., MacIsaac, K. D., Stevens, R. C., Sriram, S., Chen, R., Rohl, C. A., Johnson, J. M., & Babak, T. (2012) · Genome Research · doi:10.1101/gr.132563.111 · Cited by 642 · cited 1× · see citing works
“Transcription start sites were annotated based on cap analysis of gene expression (CAGE) libraries generated by FANTOM (The FANTOM Consortium and the RIKEN PMI and CLST (DGT) 2014), and polyadenylation sites were identified using PolyA-seq data (Derti et al. 2012).”
MethodThe 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 · cited 1× · see citing works
“…sets to distinguish those with protein-coding potential without having to install and run PhyloCSF (Makarewich et al. 2018; Perry et al. 2018; Huang et al. 2019a,b; Kang et al. 2019; Lin et al. 2019; McCorkindale et al. 2019; van Heesch et al. 2019; Vignal and Eory 2019; Wang et al.2019).”
BackgroundTowards a complete map of the human long non-coding RNA transcriptome
Uszczyńska-Ratajczak, B., Lagarde, J., Frankish, A., Guigó, R., & Johnson, R. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0017-y · Cited by 611 · cited 2× · see citing works
“Although we have found that such publications may report an excess of false-positive novel protein-coding genes (Uszczynska-Ratajczak et al. 2018), they are also likely to have underreported the set of true-positives awaiting discovery because they generally targeted existing transcript catalogs,…”
BackgroundSelf-citationmTORC1 and muscle regeneration are regulated by the LINC00961-encoded SPAR polypeptide
Matsumoto, A., Pasut, A., Matsumoto, M., Yamashita, R., Fung, J., Monteleone, E., Saghatelian, A., Nakayama, K., Clohessy, J., & Pandolfi, P. (2016) · Nature · doi:10.1038/nature21034 · Cited by 594 · cited 2× · see citing works
“2016), and three were experimentally characterized, namely SPAAR (Matsumoto et al. 2017), STRIT1 (Nelson et al.”
BackgroundThe UCSC Genome Browser database: 2018 update
Casper, J., Zweig, A. S., Villarreal, C., Tyner, C., Speir, M. L., Rosenbloom, K. R., Raney, B. J., Lee, C. M., Lee, B. T., Karolchik, D., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1020 · Cited by 475 · cited 8× · see citing works
“Transposon overlaps were found by comparing novel CDS to RepeatMasker regions (Smit et al. 2013) obtained from the UCSC Genome Browser (Casper et al. 2017), excluding regions of repeat class Low_complexity and Simple_repeat.”
MethodInfluentialSelf-citationLin, N., Chang, K., Li, Z., Gates, K. P., Rana, Z. A., Dang, J. W., Zhang, D., Han, T., Yang, C., Cunningham, T. J., et al. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.01.021 · Cited by 391 · see citing works
Non-AUG translation: a new start for protein synthesis in eukaryotesPreprint
Kearse, M. G., & Wilusz, J. E. (2017) · Genes & Development · doi:10.1101/gad.305250.117 · Cited by 382 · cited 1× · see citing works
“These PCCRs could represent upstream alternative splicing events that have not yet been captured in transcript libraries or perhaps show the usage of non-ATG initiation codons (Kearse and Wilusz 2017).”
BackgroundControl of muscle formation by the fusogenic micropeptide myomixer
Bi, P., Ramirez-Martinez, A., Li, H., Cannavino, J., McAnally, J. R., Shelton, J., Sánchez-Ortiz, E., Bassel-Duby, R., & Olson, E. (2017) · Science · doi:10.1126/science.aam9361 · Cited by 363 · cited 1× · see citing works
“SMIM38was reported as translated based on proteomics data (Ma et al. 2016), and three were experimentally characterized, namely SPAAR (Matsumoto et al. 2017), STRIT1 (Nelson et al. 2016), and MYMX (Bi et al. 2017).”
MethodThe GENCODE pseudogene resource
Pei, B.-K., Sisu, C., Frankish, A., Howald, C., Habegger, L., Mu, X., Harte, R., Balasubramanian, S., Tanzer, A., Diekhans, M., et al. (2012) · Genome Biology · doi:10.1186/gb-2012-13-9-r51 · Cited by 355 · cited 1× · see citing works
“This is important because vertebrate genomes are replete with pseudogenes (see below) (Pei et al. 2012; Sisu et al. 2014).”
BackgroundSelf-citationTedja, M. S., Wojciechowski, R., Hysi, P. G., Eriksson, N., Furlotte, N. A., Verhoeven, V. J. M., Iglesias, A. I., Meester‐Smoor, M. A., Tompson, S. W. J., Fan, Q., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0127-7 · Cited by 352 · see citing works
Upstream ORFs are prevalent translational repressors in vertebrates
Johnstone, T. G., Bazzini, A. A., & Giraldez, A. J. (2016) · The EMBO Journal · doi:10.15252/embj.201592759 · Cited by 346 · cited 2× · see citing works
“However, it remains unclear what proportion of these are regulatory ORFs that do not produce functional peptides and instead compete with the canonical CDS for ribosome binding, or else are simply stochastic interactions (Calvo et al. 2009; Bazzini et al. 2014; Johnstone et al. 2016).”
BackgroundTranslation of 5′ leaders is pervasive in genes resistant to eIF2 repression
Andreev, D. E., O’Connor, P. B. F., Fahey, C., Kenny, E. M., Terenin, I. M., Dmitriev, S. E., Cormican, P., Morris, D. W., Shatsky, I. N., & Baranov, P. V. (2015) · eLife · doi:10.7554/elife.03971 · Cited by 338 · cited 2× · see citing works
“Next, as previously noted, we found that the CDSs identified within the 5 ′ UTRs of MKKS and MIEF1 had already been reported in published studies (Akimoto et al. 2013; Andreev et al. 2015; Delcourt et al. 2018), although these findings had not propagated into any annotation catalogs.”
ResultPertea, M., Shumate, A., Pertea, G., Varabyou, A., Breitwieser, F. P., Chang, Y.-C., Madugundu, A. K., Pandey, A., & Salzberg, S. L. (2018) · Genome Biology · doi:10.1186/s13059-018-1590-2 · Cited by 335 · cited 3× · see citing works
“Also, C12orf81 was independently included in the CHESS database based on an earlier GenBank prediction (Pertea et al. 2018).”
BackgroundMethodHigh-throughput annotation of full-length long noncoding RNAs with capture long-read sequencing
Lagarde, J., Uszczyńska-Ratajczak, B., Carbonell, S., Pérez-Lluch, S., Abad, A., Davis, C., Gingeras, T., Frankish, A., Harrow, J., Guigó, R., et al. (2017) · Nature Genetics · doi:10.1038/ng.3988 · Cited by 265 · cited 2× · see citing works
“2015), capture-seq Pacific Biosciences (PacBio) data (Lagarde et al. 2017) and a vast collection of publicly available short-read RNA-seq datasets as processed by the Intropolis project (Nellore et al.”
MethodSelf-citationExtensive identification and analysis of conserved small ORFs in animals
Mackowiak, S. D., Zauber, H., Bielow, C., Thiel, D., Kutz, K., Calviello, L., Mastrobuoni, G., Rajewsky, N., Kempa, S., Selbach, M., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0742-x · Cited by 227 · cited 4× · see citing works
“Wefoundthat61ofthe144genesexistedbeforethisstudy in either the RefSeq or UniProt catalogs or were previously characterized as ORFs by Mackowiak et al. (2015) based on their usage of PhyloCSF.”
BackgroundMethodInfluentialThe long noncoding RNA Lnczc3h7a promotes a TRIM25-mediated RIG-I antiviral innate immune response
Lin, H., Jiang, M., Liu, L., Yang, Z., Ma, Z., Liu, S., Ma, Y., Zhang, L., & Cao, X. (2019) · Nature Immunology · doi:10.1038/s41590-019-0379-0 · Cited by 224 · cited 1× · see citing works
“…sets to distinguish those with protein-coding potential without having to install and run PhyloCSF (Makarewich et al. 2018; Perry et al. 2018; Huang et al. 2019a,b; Kang et al. 2019; Lin et al. 2019; McCorkindale et al. 2019; van Heesch et al. 2019; Vignal and Eory 2019; Wang et al.2019).”
BackgroundEvidence of abundant stop codon readthrough in Drosophila and other metazoaPreprint
Jungreis, I., Lin, M. F., Spokony, R. F., Chan, C. S., Negre, N., Victorsen, A., White, K. P., & Kellis, M. (2011) · Genome Research · doi:10.1101/gr.119974.110 · Cited by 223 · cited 4× · see citing works
“Previously, we developed Phylogenetic Codon Substitution Frequencies (PhyloCSF) to support CDS annotation based on multispecies genome alignments (Lin et al. 2011).”
BackgroundMethodInfluentialSelf-citationTilgner, H., Jahanbani, F., Blauwkamp, T., Moshrefi, A., Jaeger, E., Chen, F., Harel, I., Bustamante, C. D., Rasmussen, M., & Snyder, M. P. (2015) · Nature Biotechnology · doi:10.1038/nbt.3242 · Cited by 223 · cited 2× · see citing works
“” Briefly, in addition to sequences from the GenBank repository, annotation was also supported by SLR-seq (Tilgner et al. 2015), cap-ture-seq Pacific Biosciences (PacBio) data (Lagarde et al. 2017), and a vast collection of publicly available short-read RNA-seq data sets as processed by the…”
MethodGenes from scratch – the evolutionary fate of de novo genes
Schlötterer, C. (2015) · Trends in Genetics · doi:10.1016/j.tig.2015.02.007 · Cited by 222 · cited 1× · see citing works
“By “ novel ” we do not mean de novo, that is, arising from noncoding sequence (Schlötterer 2015); in fact, many of these sequences have known orthologs in other species or paralogs in the species under consideration.”
BackgroundFields, A. P., Rodriguez, E. H., Jovanović, M., Stern‐Ginossar, N., Haas, B. J., Mertins, P., Raychowdhury, R., Hacohen, N., Carr, S. A., Ingolia, N. T., et al. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.11.013 · Cited by 208 · cited 1× · see citing works
“These data have been used to suggest the biological relevance of thousands of cur-rentlyunannotatedvertebrateopenreadingframes(ORFs)(Ingolia et al. 2011; Bazzini et al. 2014; Fields et al. 2015; Mackowiak et al. 2015; Raj et al. 2016).”
MethodAn update on sORFs.org: a repository of small ORFs identified by ribosome profiling
Olexiouk, V., Criekinge, W. V., & Menschaert, G. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1130 · Cited by 194 · cited 1× · see citing works
“Finally, we used the SORFS.org database of ORFs under 100 aa predicted from a comprehensive set of RP studies (Olexiouk et al. 2017) to find evidence of translation for six of our 50 CDS matching this size criterion (Supplemental Data S2).”
MethodThe Relationship between Alternative Splicing and Proteomic Complexity
Blencowe, B. J. (2017) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2017.04.001 · Cited by 178 · cited 1× · see citing works
“…that represents stochastic “ noise ” remains to be ascertained (Pertea et al. 2018; Wan and Larson 2018), and although it could be that only a minority of transcript isoforms are translated into mature proteins, this remains highly debated (Mudge et al. 2013; Blencowe 2017; Tress et al. 2017).”
BackgroundRevisiting the protein-coding gene catalog of Drosophila melanogaster using 12 fly genomes.Preprint
Lin, M. F., Carlson, J., Crosby, M., Matthews, B., Yu, C., Park, S., Wan, K. H., Schroeder, A., Gramates, L., Pierre, S. E. S., et al. (2007) · Genome Research · doi:10.1101/gr.6679507 · Cited by 174 · cited 1× · see citing works
“…of PhyloCSF and its prede-cessor, CSF, to add CDS annotation to genomes within the Schizo-saccharomyces (Lin et al. 2011) and Drosophila lineages (Lin et al. 2007; The modENCODE Consortium et al. 2010; Jungreis et al. 2011, 2016), and also to identify novel human and mouse protein-coding genes…”
BackgroundSelf-citationMOXI Is a Mitochondrial Micropeptide That Enhances Fatty Acid β-Oxidation
Makarewich, C. A., Baskin, K. K., Munir, A. Z., Bezprozvannaya, S., Sharma, G., Khemtong, C., Shah, A. M., McAnally, J., Malloy, C. R., Szweda, L. I., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.05.058 · Cited by 170 · cited 1× · see citing works
“…researchers investigating novel transcript sets to distinguish those with protein-coding potential without having to install and run PhyloCSF (Makarewich et al. 2018; Perry et al. 2018; Huang et al. 2019a,b; Kang et al. 2019; Lin et al. 2019; McCorkindale et al. 2019; van Heesch et al. 2019;…”
BackgroundFarkas, M. H., Grant, G. R., White, J., Sousa, M. E., Consugar, M. B., & Pierce, E. A. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-486 · Cited by 164 · cited 1× · see citing works
“…lacks cDNA or EST support but whose intron is confidently supported by short read data in Intropolis (blue rectangle) mostly from a retinal study (Farkas et al. 2013), and whose TSS (P1) is supported by FANTOM5 CAGE data, limited to retinaandeye(datafrom ZENBU browser,…”
The neXtProt knowledgebase on human proteins: 2017 update
Gaudet, P., Michel, P.-A., Zahn-Zabal, M., Britan, A., Cusin, I., Domagalski, M., Duek, P. D., Gateau, A., Gleizes, A., Hinard, V., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1062 · Cited by 164 · cited 4× · see citing works
“Human Protein Atlas (HPA) RNA-seq and human and mouse FANTOM5 CAGE data show high transcription in gastrointestinal tissues.”
BackgroundInfluentialImproved Identification and Analysis of Small Open Reading Frame Encoded Polypeptides
Ma, J., Diedrich, J. K., Jungreis, I., Donaldson, C. J., Vaughan, J. M., Kellis, M., Yates, J. R., & Saghatelian, A. (2016) · Analytical Chemistry · doi:10.1021/acs.analchem.6b00191 · Cited by 145 · cited 2× · see citing works
“SMIM38was reported as translated based on proteomics data (Ma et al. 2016), and three were experimentally characterized, namely SPAAR (Matsumoto et al.”
BackgroundMethodSelf-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 · cited 2× · see citing works
“…makes a direct contribution to physiology (Bazzini et al. 2014), because ORFs can also undergo translation as part of gene regulation mechanisms, and a proportion of attachments could be stochastic “ noise ” (Guttman et al. 2013; Jackson and Standart 2015; Johnstone et al. 2016; Raj et al. 2016).”
BackgroundMethodSelf-citationThe state of play in higher eukaryote gene annotation
Mudge, J. M., & Harrow, J. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.119 · Cited by 122 · cited 4× · see citing works
“Small CDSs are harder to identify in both manual and computational annotation pipelines (Mudge and Harrow 2016), and this problem is confounded by the fact that 28 of these 50 loci are single-exon genes.”
BackgroundInfluentialSelf-citationOvarian gene expression in the absence of FIGLA, an oocyte-specific transcription factor
Joshi, S. A., Davies, H., Sims, L., Levy, S. E., & Dean, J. (2007) · BMC Developmental Biology · doi:10.1186/1471-213x-7-67 · Cited by 119 · cited 2×
“Mouse ENCODE RNA-seq supports placenta and ovary expression only, and the mouse locus (in the guise of a ncRNA) had previously been identified as a target for the germ cell–specific transcription factor Figla (Joshi et al. 2007).”
BackgroundWang, A.-B., Bao, Y., Wu, Z.-J., Zhao, T.-L., Wang, D., Shi, J.-Z., Liu, B., Sun, S.-H., Yang, F., Wang, L.-H., et al. (2019) · Cell Death and Disease · doi:10.1038/s41419-019-1331-9 · Cited by 117 · cited 1× · see citing works
“…sets to distinguish those with protein-coding potential without having to install and run PhyloCSF (Makarewich et al. 2018; Perry et al. 2018; Huang et al. 2019a,b; Kang et al. 2019; Lin et al. 2019; McCorkindale et al. 2019; van Heesch et al. 2019; Vignal and Eory 2019; Wang et al.2019).”
BackgroundMIEF1 Microprotein Regulates Mitochondrial Translation
Rathore, A., Chu, Q., Tan, D., Martinez, T. F., Donaldson, C. J., Diedrich, J. K., Yates, J. R., & Saghatelian, A. (2018) · Biochemistry · doi:10.1021/acs.biochem.8b00726 · Cited by 102 · cited 1× · see citing works
“In fact, our 5 ′ UTR – associated examples include three cases in which protein existence has been confirmed by others through laboratory work: within the 5 ′ UTRs of MIEF1 (Rathore et al. 2018), MKKS (Akimoto et al. 2013), and RAB34 (Zougman et al. 2011).”
BackgroundNellore, A., Jaffe, A. E., Fortin, J., Alquicira-Hernández, J., Collado‐Torres, L., Wang, S., Phillips, R. A., Karbhari, N., Hansen, K. D., Langmead, B., et al. (2016) · Genome biology · doi:10.1186/s13059-016-1118-6 · Cited by 98 · cited 1× · see citing works
“…from the GenBank repository, annotation was also supported by SLR-seq (Tilgner et al. 2015), cap-ture-seq Pacific Biosciences (PacBio) data (Lagarde et al. 2017), and a vast collection of publicly available short-read RNA-seq data sets as processed by the Intropolis project (Nellore et al. 2016).”
MethodComparative analysis of pseudogenes across three phyla
Sisu, C., Pei, B., Leng, J., Frankish, A., Zhang, Y., Balasubramanian, S., Harte, R., Wang, D., Rutenberg-Schoenberg, M., Clark, W. T., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1407293111 · Cited by 96 · cited 1× · see citing works
“This is important because vertebrate genomes are replete with pseudogenes (see below) (Pei et al. 2012; Sisu et al. 2014).”
BackgroundSelf-citationRegulation of Neuroregeneration by Long Noncoding RNAs
Perry, R. B., Hezroni, H., Goldrich, M. J., & Ulitsky, I. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.09.021 · Cited by 91 · cited 2× · see citing works
“…novel transcript sets to distinguish those with protein-coding potential without having to install and run PhyloCSF (Makarewich et al. 2018; Perry et al. 2018; Huang et al. 2019a,b; Kang et al. 2019; Lin et al. 2019; McCorkindale et al. 2019; van Heesch et al. 2019; Vignal and Eory 2019;…”
BackgroundMost Alternative Isoforms Are Not Functionally Important
Tress, M. L., Abascal, F., & Valencia, A. (2017) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2017.04.002 · Cited by 90 · cited 2× · see citing works
“…the UniProt protein resource (The UniProt Consortium 2019), disagree on the number of human protein-coding genes (Abascal et al. 2018), and even when a gene is agreed to be protein coding, it is often unclear which transcripts within the locus are translated (Mudge et al. 2013; Tress et al. 2017).”
BackgroundSplicing heterogeneity: separating signal from noise
Wan, Y., & Larson, D. R. (2018) · Genome biology · doi:10.1186/s13059-018-1467-4 · Cited by 79 · cited 1× · see citing works
“The proportion of this complexity that represents stochastic “ noise ” remains to be ascertained (Pertea et al. 2018; Wan and Larson 2018), and although it could be that only a minority of transcript isoforms are translated into mature proteins, this remains highly debated (Mudge et al. 2013;…”
BackgroundImproving GENCODE reference gene annotation using a high-stringency proteogenomics workflow
Wright, J. C., Mudge, J. M., Weisser, H., Barzine, M., González, J. M., Brāzma, A., Choudhary, J. S., & Harrow, J. (2016) · Nature Communications · doi:10.1038/ncomms11778 · Cited by 74 · cited 8× · see citing works
“The spectrawere searched against a sequence database composed of all GENCODE v27 CDS transcripts combined with PhyloCSF sequences; an equally sized decoy database generated using DecoyPyrat (Wright et al. 2016) was concatenated and used to control FDR. Peptides were filtered to a posterior error probability of less th…”
BackgroundMethodInfluentialSelf-citationPfeffer, P., Robertis, E. D., & Izpisúa-Belmonte, J. (1997) · International Journal of Developmental Biology · doi:10.1387/ijdb.9240561 · Cited by 66 · cited 1× · see citing works
“One of these is the remnants of crescent , previously characterized in chicken (Pfeffer et al. 1997) and a recognized mammalian pseudogenization event (Kuraku and Kuratani 2011).”
BackgroundDelcourt, V., Brunelle, M., Roy, A. V., Jacques, J., Salzet, M., Fournier, I., & Roucou, X. (2018) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra118.000593 · Cited by 65 · cited 1× · see citing works
“Next, as previously noted, we found that the CDSs identified within the 5 ′ UTRs of MKKS and MIEF1 had already been reported in published studies (Akimoto et al. 2013; Andreev et al. 2015; Delcourt et al. 2018), although these findings had not propagated into any annotation catalogs.”
Functional transcriptomics in the post-ENCODE eraPreprint
Mudge, J. M., Frankish, A., & Harrow, J. (2013) · Genome Research · doi:10.1101/gr.161315.113 · Cited by 64 · cited 3× · see citing works
“…the UniProt protein resource (The UniProt Consortium 2019), disagree on the number of human protein-coding genes (Abascal et al. 2018), and even when a gene is agreed to be protein coding, it is often unclear which transcripts within the locus are translated (Mudge et al. 2013; Tress et al. 2017).”
BackgroundMethodSelf-citationLoose ends: almost one in five human genes still have unresolved coding status
Abascal, F., Juan, D., Jungreis, I., Gómez, L. M., Rigau, M., Rodrı́guez, J. M., Vázquez, J., & Tress, M. L. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky587 · Cited by 63 · cited 2× · see citing works
“as well as the UniProt protein resource (The UniProt Consortium 2019), disagree on the number of human protein-coding genes (Abascal et al. 2018), and even when a gene is agreed to be protein coding, it is often unclear which transcripts within the locus are translated (Mudge et al.”
BackgroundSelf-citationLin, M. F., Deoras, A., Rasmussen, M. D., & Kellis, M. (2008) · PLoS Comput. Biol. · doi:10.1371/journal.pcbi.1000067 · Cited by 61 · cited 1× · see citing works
“CDSs can also be identified through sequence conservation, and both the ratio of nonsynonymous to synonymous substitutions ( d N / d S ) and codon substitution frequencies can be diagnostic of protein evolution (Lin et al. 2008).”
BackgroundSelf-citationHuang, H.-H., Chen, F., Chou, W.-C., Hou, H., Ko, B., Lin, C.-T., Tang, J.-L., Li, C., Yao, M., Tsay, W., et al. (2019) · BMC Cancer · doi:10.1186/s12885-019-5822-y · Cited by 58 · cited 1× · see citing works
“…sets to distinguish those with protein-coding potential without having to install and run PhyloCSF (Makarewich et al. 2018; Perry et al. 2018; Huang et al. 2019a,b; Kang et al. 2019; Lin et al. 2019; McCorkindale et al. 2019; van Heesch et al. 2019; Vignal and Eory 2019; Wang et al.2019).”
BackgroundEvolutionary Dynamics of Abundant Stop Codon Readthrough
Jungreis, I., Chan, C., Waterhouse, R., Fields, G., Lin, M. F., & Kellis, M. (2016) · Molecular biology and evolution · doi:10.1093/molbev/msw189 · Cited by 58 · cited 2× · see citing works
“…to genomes within the Schizo-saccharomyces (Lin et al. 2011) and Drosophila lineages (Lin et al. 2007; The modENCODE Consortium et al. 2010; Jungreis et al. 2011, 2016), and also to identify novel human and mouse protein-coding genes based on the alignment of 29 mammalian genomes…”
BackgroundSelf-citationAkimoto, C., Sakashita, E., Kasashima, K., Kuroiwa, K., Tominaga, K., Hamamoto, T., & Endo, H. (2013) · Biochimica et Biophysica Acta · doi:10.1016/j.bbagen.2012.12.010 · Cited by 50 · cited 2× · see citing works
“Next, as previously noted, we found that the CDSs identified within the 5 ′ UTRs of MKKS and MIEF1 had already been reported in published studies (Akimoto et al. 2013; Andreev et al. 2015; Delcourt et al. 2018), although these findings had not propagated into any annotation catalogs.”
BackgroundThe awesome power of ribosome profiling
Jackson, R., & Standart, N. (2015) · RNA: A publication of the RNA Society · doi:10.1261/rna.049908.115 · Cited by 45 · cited 1×
“…makes a direct contribution to physiology (Bazzini et al. 2014), because ORFs can also undergo translation as part of gene regulation mechanisms, and a proportion of attachments could be stochastic “ noise ” (Guttman et al. 2013; Jackson and Standart 2015; Johnstone et al. 2016; Raj et al. 2016).”
BackgroundHuang, J.-B., Li, J., Li, Y., Lu, Z.-L., Che, Y., Mao, S.-S., Lei, Y.-Y., Zang, R.-C., Zheng, S.-F., Liu, C.-M., et al. (2019) · Cancer Letters · doi:10.1016/j.canlet.2019.05.038 · Cited by 44 · cited 2× · see citing works
“UTR-associatedORFs are extensively detected in vertebrate RP studies (Ingolia et al. 2009, 2011).”
BackgroundSelf-citationGonzález-Mariscal, L., Miranda, J., Raya-Sandino, A., Domínguez-Calderón, A., & Cuellar-Pérez, F. (2017) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13334 · Cited by 40 · cited 1× · see citing works
“This gene has been implicated in a wide range of diseases, including cancer, hearing loss, liver disease, and immune disorders (González-Mariscal et al. 2017).”
BackgroundGenome-Wide Detection of Gene Extinction in Early Mammalian Evolution
Kuraku, S., & Kuratani, S. (2011) · Genome Biology and Evolution · doi:10.1093/gbe/evr120 · Cited by 34 · cited 1× · see citing works
“One of these is the remnants of crescent , previously characterized in chicken (Pfeffer et al. 1997) and a recognized mammalian pseudogenization event (Kuraku and Kuratani 2011).”
BackgroundDecarreau, J., Wagenbach, M. J., Lynch, E., Halpern, A. R., Vaughan, J., Kollman, J., & Wordeman, L. (2017) · Nature Cell Biology · doi:10.1038/ncb3486 · Cited by 34 · cited 2× · see citing works
“…humanCDS that are apparently not transcribed in higherprimates despite showing vertebrate conservation, and yet, there is published evidence that the human locus produces a functional protein; we infer this must be a truncated molecule (Decarreau et al. 2017).”
BackgroundMcCorkindale, A. L., Wahle, P., Werner, S., Jungreis, I., Menzel, P., Shukla, C. J., Abreu, R., Irizarry, R., Meyer, I., Kellis, M., et al. (2018) · Development · doi:10.1242/dev.175265 · Cited by 27 · see citing works
Self-citationKang, C.-M., Bai, H.-L., Li, X.-H., Huang, R.-Y., Zhao, J.-J., Dai, X.-Y., Zheng, L., Qiu, Y.-R., Hu, Y.-W., & Wang, Q. (2019) · EBioMedicine · doi:10.1016/j.ebiom.2019.06.002 · Cited by 26 · cited 1× · see citing works
“…sets to distinguish those with protein-coding potential without having to install and run PhyloCSF (Makarewich et al. 2018; Perry et al. 2018; Huang et al. 2019a,b; Kang et al. 2019; Lin et al. 2019; McCorkindale et al. 2019; van Heesch et al. 2019; Vignal and Eory 2019; Wang et al.2019).”
BackgroundFlexible Data Analysis Pipeline for High-Confidence Proteogenomics
Weisser, H., Wright, J. C., Mudge, J. M., Gutenbrunner, P., & Choudhary, J. S. (2016) · Journal of Proteome Research · doi:10.1021/acs.jproteome.6b00765 · Cited by 15 · cited 8× · see citing works
“The PCCR clusters analyzed and the resulting annotations are reported in Supplemental Data S1, and detailed information about each of the PCCRs in these clusters is reported in Supplemental Data S6.”
BackgroundMethodInfluentialSelf-citationZougman, A., Mann, M., & Wiśniewski, J. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr273 · Cited by 6 · see citing works
Avian Genomics in Animal Breeding and the End of the Model Organism
Alain Vignal, A., & Eöry, L. (2019) · Springer eBooks · doi:10.1007/978-3-030-16477-5_3 · Cited by 6 · cited 2× · see citing works
“A similar effort for the chicken genome is already underway (Vignal and Eory 2019).”
Background
Flagged first, then by citations
7 of the 96 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- The modENCODE Consortium, Roy S, Ernst J, Kharchenko PV, Kheradpour P, Negre N, Eaton ML, Landolin JM, Bristow CA, Ma L, 2010 Identification of functional elements and regulatory circuits by Drosophila modENCODE. Science 330: 1787– 1797. 10.1126/science.1198374 21177974 PMC3192495 · DOI
- Verhoeven VJM, Hysi PG, Wojciechowski R, Fan Q, Guggenheim JA, Höhn R, MacGregor S, Hewitt AW, Nag A, Cheng C-Y, 2013 Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia. Nat Genet 45: 314– 318. 10.1038/ng.2554 23396134 PMC3740568 · DOI · Paper page
Cited by
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Frankish, A., Diekhans, M., Jungreis, I., Lagarde, J., Loveland, J. E., Mudge, J. M., Sisu, C., Wright, J. C., Armstrong, J., Barnes, I., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1087 · Cited by 1,334 · see citing works
“The PhyloCSF pipeline has also been run on the each new release of the human and mouse genome annotations to facilitate the discovery of additional novel coding genes, novel pseudogenes, and novel coding sequence (21).”
Self-citationGENCODE 2025: reference gene annotation for human and mouse
Mudge, J. M., Carbonell-Sala, S., Diekhans, M., Martínez, J. G., Hunt, T., Jungreis, I., Loveland, J., Arnan, C., Barnes, I., Bennett, R., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae1078 · Cited by 379 · see citing works
Self-citationGenenames.org: the HGNC and VGNC resources in 2021
Tweedie, S., Braschi, B., Gray, K. A., Jones, T., Seal, R. L., Yates, B., & Bruford, E. (2020) · Nucleic Acids Res. · doi:10.1093/nar/gkaa980 · Cited by 316 · see citing works
“Numbers of newly named protein-coding genes remain comparatively low (28 in the last 2 years) because our protein-coding dataset is relatively complete, but novel approaches to detecting proteincoding genes continue to yield new gene models; for example, we worked closely with GENCODE annotators to name novel protein-…”
BackgroundSelf-citationWormBase in 2022—data, processes, and tools for analyzing Caenorhabditis elegans
Davis, P., Zarowiecki, M., Arnaboldi, V., Becerra, A., Cain, S., Chan, J., Chen, W. J., Cho, J.-H., Beltrame, E. D. V., Diamantakis, S., et al. (2022) · Genetics · doi:10.1093/genetics/iyac003 · Cited by 226 · 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
SARS-CoV-2 gene content and COVID-19 mutation impact by comparing 44 Sarbecovirus genomes
Jungreis, I., Sealfon, R. S. G., & Kellis, M. (2021) · Nature Communications · doi:10.1038/s41467-021-22905-7 · Cited by 182 · see citing works
Self-citationThe 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-citationRevisiting sORFs: overcoming challenges to identify and characterize functional microproteins
Schlesinger, D., & Elsässer, S. J. (2021) · FEBS Journal · doi:10.1111/febs.15769 · Cited by 111 · see citing works
MaTAR25 lncRNA regulates the Tensin1 gene to impact breast cancer progression
Chang, K.-C., Diermeier, S. D., Yu, A. T., Brine, L., Russo, S., Bhatia, S., Alsudani, H., Kostroff, K. M., Bhuiya, T. A., Brogi, E., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-20207-y · Cited by 96 · see citing works
The EN-TEx resource of multi-tissue personal epigenomes & variant-impact modelsPreprint
Rozowsky, J., Gao, J.-H., Borsari, B., Yang, Y. T., Galeev, T. R., Gursoy, G., Epstein, C., Xiong, K., Xu, J.-R., Li, T.-X., et al. (2022) · bioRxiv · doi:10.1101/2021.04.26.441442 · Cited by 77 · see citing works
Self-citationFrom genotype to phenotype: genetics of mammalian long non-coding RNAs in vivo
Andergassen, D., & Rinn, J. (2021) · Nature reviews genetics · doi:10.1038/s41576-021-00427-8 · Cited by 78 · see citing works
Martinez, T. F., Lyons-Abbott, S., Bookout, A., de Souza, E. V., Donaldson, C., Vaughan, J., Lau, C., Abramov, A. B., Baquero, A. F., Baquero, K. C., et al. (2022) · bioRxiv · doi:10.1101/2022.03.12.484025 · Cited by 66
Comparative genomics of Chlamydomonas
Craig, R. J., Hasan, A. R., Ness, R. W., & Keightley, P. (2020) · bioRxiv · doi:10.1093/plcell/koab026 · Cited by 65 · see citing works
“Chlamydomonas was recovered with the expected branching order (Pröschold et al. 2018), as was the monophyly and expected topology of the TGV clade (Nakada et al. 2019).”
BackgroundA standardized nomenclature for mammalian histone genes
Seal, R. L., Denny, P., Bruford, E., Gribkova, A., Landsman, D., Marzluff, W., McAndrews, M., Panchenko, A., Shaytan, A. K., & Talbert, P. (2022) · Epigenetics & Chromatin · doi:10.1186/s13072-022-00467-2 · Cited by 55 · see citing works
Self-citationLong non-coding RNA-encoded micropeptides: functions, mechanisms and implications
Xiao, Y.-N., Ren, Y., Hu, W.-T., Paliouras, A. R., Zhang, W., Zhong, L., Yang, K.-X., Su, L., Wang, P., Li, Y., et al. (2024) · Cell Death Discovery · doi:10.1038/s41420-024-02175-0 · Cited by 50 · see citing works
Self-citationReconsidering proteomic diversity with functional investigation of small ORFs and alternative ORFs
Brunet, M. A., Leblanc, S., & Roucou, X. (2020) · Experimental Cell Research · doi:10.1016/j.yexcr.2020.112057 · Cited by 54 · see citing works
Sun, J., He, D., Fu, Y.-B., Zhang, R., Guo, H., Wang, Z.-J., Wang, Y.-N., Gao, T., Wei, Y.-B., Guo, Y.-J., et al. (2020) · Journal of experimental & clinical cancer research : CR · doi:10.1186/s13046-021-01977-9 · Cited by 37
Gaertner, 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
Evidence for a novel overlapping coding sequence in POLG initiated at a CUG start codon
Khan, Y. A., Jungreis, I., Wright, J. C., Mudge, J. M., Choudhary, J. S., Firth, A. E., & Kellis, M. (2020) · BMC Genetics · doi:10.1186/s12863-020-0828-7 · Cited by 31 · see citing works
Self-citationNo country for old methods: New tools for studying microproteins
Valdivia-Francia, F., & Sendoel, A. (2024) · iScience · doi:10.1016/j.isci.2024.108972 · Cited by 36 · see citing works
“37 Notably, 50 of these newly open reading frames (sORFs) in the untranslated regions (red).”
BackgroundMany Functions of Telomerase Components: Certainties, Doubts, and Inconsistencies
Udroiu, I., Marinaccio, J., & Sgura, A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232315189 · Cited by 25 · see citing works
“Indeed, it has not been included among new coding ORFs identified with this approach [200].”
BackgroundTissue-specific dynamic codon redefinition in Drosophila
Hudson, A. M., Szabo, N. L., Loughran, G., Wills, N., Atkins, J., & Cooley, L. (2020) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1101/2020.06.22.165522 · Cited by 23
Posner, Z., Yannuzzi, I., & Prensner, J. (2023) · Protein Science · doi:10.1002/pro.4708 · Cited by 20 · see citing works
“…miniprotein prediction Following the Human Genome Project, miniprotein discovery and protein-coding annotation relied heavily on computational methods (Figure 1) (Wang et al., 2004), particularly evolutionary-based alignment techniques (Lin et al., 2011; Mudge et al., 2019; Wang et al., 2013).”
BackgroundMethodTumour mutations in long noncoding RNAs enhance cell fitness
Esposito, R., Lanzós, A., Uroda, T., Ramnarayanan, S., Büchi, I., Polidori, T., Guillen-Ramirez, H. A., Mihaljević, A., Merlin, B., Mela, L., et al. (2021) · bioRxiv · doi:10.1038/s41467-023-39160-7 · Cited by 18 · see citing works
“However, this is unlikely to impact thedriverlncRNAspresentedhereonaccountofaggressive fi lteringof input annotations and manually checking of all driver predictions using PhyloCSF predictions 65 .”
Xiong, W., Xu, K., Sun, J. K.-L., Liu, S., Zhao, B., Shi, J., Herrup, K., Chow, H.-M., Lu, L., & Li, J. (2024) · The EMBO Journal · doi:10.1038/s44318-024-00270-7 · Cited by 17 · see citing works
“EV1C) (Mudge et al, 2019).”
Jungreis, I., Sealfon, R. S. G., & Kellis, M. (2020) · bioRxiv · doi:10.1101/2020.06.02.130955 · Cited by 17 · see citing works
“We computed PhyloCSF protein-coding scores for every three-nucleotide interval, in all three reading frames of SARS-CoV-2, smoothed using a hidden Markov model, and created tracks for the UCSC Genome Browser quantifying protein-coding evolutionary signatures along the genome, as we previously did for the human genome…”
InfluentialSelf-citationKumar, M., & Vaegae, N. (2020) · doi:10.1016/j.bbe.2020.03.007 · Cited by 17
Zheng, Q., Chen, T., Zhou, W.-X., Xie, L., & Su, H.-Y. (2021) · doi:10.1016/j.bbe.2020.12.005 · Cited by 17
Murphy, M. R., Ramadei, A., Doymaz, A., Varriano, S., Natelson, D. M., Yu, A., Aktas, S., Mazzeo, M., Mazzeo, M., Zakusilo, G., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad899 · Cited by 23 · see citing works
“Phy-loCSF analysis of CDKN1A gene confirmed the positive selection ( average score 4.89 ) for CDKN1A full-length mRNA ORF ( Figure 5 A, 63 , 64 ) , whereas average PhyloCSF score for SPUD-ALE in the same frame as uORF ATG was -4.43.”
BackgroundInfluentialNoncoding snoRNA host genes are a distinct subclass of long noncoding RNAs
Monziani, A., & Ulitsky, I. (2023) · Trends in Genetics · doi:10.1016/j.tig.2023.09.001 · Cited by 23 · see citing works
Short open reading frame genes in innate immunity: from discovery to characterization
Malekos, E., & Carpenter, S. B. (2022) · Trends in Immunology · doi:10.1016/j.it.2022.07.005 · Cited by 25 · see citing works
PhyloCSF++: A fast and user-friendly implementation of PhyloCSF with annotation tools
Pockrandt, C., Steinegger, M., & Salzberg, S. (2021) · bioRxiv · doi:10.1101/2021.03.10.434297 · Cited by 16
“As examples of its recent application, PhyloCSF scores (available as genomic tracks) were used to identify 133 novel protein coding genes in human [5] and to investigate the conservation of the newly emerged ORF10 in SARSCoV2 [2].”
BackgroundMethodMaiti, A., Okano, I., Oshi, M., Okano, M., Tian, W., Kawaguchi, T., Katsuta, E., Takabe, K., Yan, L., Patnaik, S., et al. (2020) · Cancers · doi:10.3390/cancers13112641 · Cited by 16 · see citing works
“Correct read alignment across splice junctions of the raw data was performed by Gencode v25 gtf [83].”
MethodTriantaphyllopoulos, K. A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241713566 · Cited by 15
Mudge, J. M., Ruiz-Orera, J., Prensner, J., Brunet, M., Gonzalez, J., Magrane, M., Martinez, T. F., Schulz, J., Yang, Y. T., Albà, M., et al. (2021) · bioRxiv · doi:10.1101/2021.06.10.447896 · Cited by 15
“…PhyloCSF datasets for several species led to the detection of a set of short human proteins conserved within the mammalian order, several of which have been experimentally characterized (Anderson et al., 2015; Cloutier et al., 2020; Mudge et al., 2019; Pauli et al., 2014; Rathore et al., 2018).”
BackgroundMethodSelf-citationLiu, L., Zhang, C., Wang, J.-Z., Liu, X., Qu, H.-Y., Zhang, G.-J., Liang, T., Wang, J.-S., & Zhang, J. (2020) · BMC Cancer · doi:10.1186/s12885-021-08192-x · Cited by 13
Homozygosity for a stop-gain variant in CCDC201 causes primary ovarian insufficiency
Oddsson, Á., Steinthórsdóttir, V., Oskarsson, G. R., Styrkársdóttir, U., Moore, K. H. S., Isberg, S., Halldorsson, G. H., Sveinbjörnsson, G., Westergaard, D., Nielsen, H. S., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01885-6 · Cited by 12 · see citing works
“The coding sequence for CCDC201 was previously missed due to a lack of spliced cDNA or expressed sequence tag evidence because its expression is restricted to female tissues 21 .”
Protein-coding potential of non-canonical open reading frames in human transcriptome
Kore, H., Datta, K. K., Nagaraj, S. H., & Gowda, H. (2023) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2023.09.068 · Cited by 9 · see citing works
O’Reilly, M. E., Ho, S., Coronel, J., Zhu, L., Liu, W., Xue, C., Kim, E., Cynn, E., Matias, C. V., Soni, R. K., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114240 · Cited by 7 · see citing works
Chen, S., Liu, M., Yi, W., Li, H., & Yu, Q. (2024) · Gene · doi:10.1016/j.gene.2024.149019 · Cited by 7 · see citing works
Murphy, M. R., Ramadei, A., Doymaz, A., Varriano, S., Natelson, D. M., Yu, A., Aktas, S., Mazzeo, M., Mazzeo, M., Zakusilo, G., et al. (2023) · bioRxiv · doi:10.1101/2023.01.10.523318 · Cited by 7
Biophysical characterization of high-confidence, small human proteins
Whited, A. M., Jungreis, I., Allen, J., Cleveland, C. L., Mudge, J. M., Kellis, M., Rinn, J. L., & Hough, L. E. (2024) · Biophysical Reports · doi:10.1016/j.bpr.2024.100167 · Cited by 5 · see citing works
“…which smORF_type was not annotated or ncRNA) to the annotations in the latest GENCODE release, version 38, which contains many protein-coding regions and pseudogenes that were not present in version 19, including several dozen added as a result of the Mackowiak et al. analysis (Mudge et al. 2019).”
BackgroundSelf-citationBiophysical characterization of high-confidence, small human proteins
Whited, A. M., Jungreis, I., Allen, J., Cleveland, C., Mudge, J. M., Kellis, M., Rinn, J., & Hough, L. E. (2024) · doi:10.1101/2024.04.12.589296 · Cited by 5 · see citing works
“Characterizing smORFs that encode functional proteins among the millions of putative smORFs has remained challenging(94) .”
BackgroundSelf-citationLncRNA-encoded micropeptides: Emerging regulators of cancer metabolism and precision oncology.
Wen, T., Liang, D., Wang, T., Hu, W.-T., Li, Y., & Shi, L. (2026) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2025.102612 · Cited by 4
Self-citationYang, M., Xie, Y., Wang, L., Jungreis, I., Ou, T., Kellis, M., Wang, J., & Zhu, Y. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf687 · Cited by 3 · see citing works
“No-tably, genome-wide association studies (GWAS) have revealed that some of these sORFs overlap disease-associated regions, implying potential correlation of sORF function with diseases [ 33 ].”
Self-citationBenarjee, S., & Vaegae, N. (2025) · Comput. Biol. Medicine · doi:10.1016/j.compbiomed.2025.110565 · Cited by 4
SERTM2: a neuroactive player in the world of micropeptides
Lisi, M., Santini, T., D'Andrea, T., Salvatori, B., Setti, A., Paiardini, A., Nutarelli, S., Nicoletti, C., Pellegrini, F., Fucile, S., et al. (2025) · EMBO Reports · doi:10.1038/s44319-025-00404-w · Cited by 4 · see citing works
“…Codon Substitution Frequencies that considers not only the conservation of the coding sequence but also the high frequencies of synonymous codon and conservative amino acid substitutions as well as the low frequencies of other missense and nonsense substitutions (PhyloCSF; Mudge et al, 2019).”
Tong, G., Hah, N., & Martinez, T. F. (2024) · Briefings Bioinform. · doi:10.1093/bib/bbae268 · Cited by 4
“Recent advances in genomics, proteomics, and bioinformatics have allowed researchers to empirically define protein coding regions within genomes with better precision [2–4].”
Molecular and clinical aspects of histone-related disorders
Ojaimi, M. A., Banimortada, B. J., Alragheb, A., Hajir, R. S., Alves, C., Walid, D., Raza, A., & El-Hattab, A. E. (2025) · Human Genomics · doi:10.1186/s40246-025-00734-9 · Cited by 3 · see citing works
Wang, J., Jin, Z.-R., Wu, G., Wang, J.-L., Xu, B.-H., Zhu, H., Guo, Y., & Wen, Z. (2022) · BioMed Research International · doi:10.1155/2022/2093437 · Cited by 3 · see citing works
Bai, J., & Yang, R. (2026) · bioRxiv · doi:10.1093/nar/gkag969 · Cited by 2
“To assess coding potential, PhyloCSF scores were extracted for ORFs ≥ 10 codons from the Broad Institute dm6 PhyloCSF track hub, which provides strand-and frame-specific scores for the dm6 assembly [ 40 ].”
Loughran, G., Pace, R. D., Ding, N., Zhang, J., Jungreis, I., Carancini, G., Mudge, J. M., Wang, J., Kellis, M., Atkins, J. F., et al. (2025) · Science Advances · doi:10.1126/sciadv.ady1742 · Cited by 6 · see citing works
Self-citationDNA numerical encoding schemes for exon prediction: a recent history
Das, L., Das, J., Mohapatra, S., & Nanda, S. (2021) · Nucleosides, Nucleotides & Nucleic Acids · doi:10.1080/15257770.2021.1966797 · Cited by 2 · see citing works
Characterization of Protein Molecules Prepared by Total Chemical Synthesis
Kent, S. (2021) · doi:10.1002/9783527823567.ch1 · Cited by 2
Liu, P., Soukup, A. A., Bresnick, E., Dewey, C., & Keleş, S. (2019) · bioRxiv · doi:10.1101/gr.252445.119 · Cited by 2 · see citing works
Córdova-Delgado, M., Scott, E. N., Rassekh, S., Loucks, C., Chang, W.-C., Raack, E. J., Trueman, J. N., Ross, C. J. D., & Carleton, B. C. (2025) · Journal of clinical pharmacology · doi:10.1002/jcph.70084 · Cited by 1
Evaluating computational tools for protein-coding sequence detection: Are they up to the task?
Champion, D., Chen, T.-H., Thomson, S. J., Black, M. A., & Gardner, P. P. (2025) · bioRxiv · doi:10.1261/rna.080416.125 · Cited by 1 · see citing works
“From a biocuration perspective, there has been relatively little development of the “ conservome ” for coding sequences, that is, large-scale screens of conserved sequence elements with characteristic signatures of evolutionarily conserved coding sequences (Mudge et al. 2019).”
End-to-end Learning of Evolutionary Models to Find Coding Regions in Genome Alignments
Mertsch, D., & Stanke, M. (2021) · bioRxiv · doi:10.1101/2021.03.09.434414 · Cited by 1
“Recently, PhyloCSF has been used for a genome-wide scan to discover new human protein-coding genes, a ”needle-in-a-haystack problem” [Mudge et al., 2019].”
BackgroundMethodRevised eutherian gene collections
Premzl, M. (2022) · BMC Genomic Data · doi:10.1186/s12863-022-01071-9
Necşulea, A., Veber, P., Boldanova, T., Ng, C. K. Y., Wieland, S. F., & Heim, M. H. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.03.433778
Characterization of transcripts emanating from enhancer Eβ of the murine TCRβ locus
Uddin, F., & Srivastava, M. P. (2021) · FEBS Open Bio · doi:10.1002/2211-5463.13079
- Authors
- Mudge, J. M., Jungreis, I., Hunt, T., Gonzalez, J. M., Wright, J. C., Kay, M., Davidson, C., Fitzgerald, S., Seal, R., Tweedie, S., He, L., Waterhouse, R. M., Li, Y., Bruford, E., Choudhary, J. S., Frankish, A., & Kellis, M.
- Affiliations
- European Bioinformatics Institute (GB)
- Broad Institute (US)
- Institute of Cancer Research (GB)
- Wellcome Sanger Institute (GB)
- SIB Swiss Institute of Bioinformatics (CH)
- ORCID
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2019-09-19
- Volume
- 29
- Issue
- 12
- Pages
- 2073-2087
- ISSN
- 1088-9051 (ISSN-L)
- 1549-5469
- PMC
- PMC6886504
- OpenAlex
- W2974579541
- Cited by
- 80
- References
- 96
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 12 · 2023: 12 · 2022: 9 · 2021: 30 · 2020: 8
- Type
- posted content
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Genome Research (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- SERVAL (Université de Lausanne) (acceptedVersion, cc-by)
- IRIS (submittedVersion, cc-by)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Human Genome Research Institute of the National Institutes of Health under Award (U41HG007234)
- Wellcome Trust (WT108749/Z/15/Z, 208349/Z/17/Z)
- National Institutes of Health (R01 HG004037)
- Swiss National Science Foundation (PP00P3_170664)
- National Human Genome Research Institute (U24HG003345)
- European Molecular Biology Laboratory
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Chromosomal and Genetic Variations
- Keywords
- protein-coding genes, exon prediction, pseudogenes, purifying selection, single nucleotide variants, splicing, GENCODE, machine learning prediction
- MeSH terms
- Animals, Exons, Humans, Pseudogenes, Genome, Human, Open Reading Frames, Sequence Analysis, DNA, Genome-Wide Association Study, High-Throughput Nucleotide Sequencing
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