The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Pan-cancer analysis identifies tumor-specific antigens derived from transposable elements
Open accessAbstract
Cryptic promoters within transposable elements (TEs) can be transcriptionally reactivated in tumors to create new TE-chimeric transcripts, which can produce immunogenic antigens. We performed a comprehensive screen for these TE exaptation events in 33 TCGA tumor types, 30 GTEx adult tissues and 675 cancer cell lines, and identified 1,068 TE-exapted candidates with the potential to generate shared tumor-specific TE-chimeric antigens (TS-TEAs). Whole-lysate and HLA-pulldown mass spectrometry data confirmed that TS-TEAs are presented on the surface of cancer cells. In addition, we highlight tumor-specific membrane proteins transcribed from TE promoters that constitute aberrant epitopes on the extracellular surface of cancer cells. Altogether, we showcase the high pan-cancer prevalence of TS-TEAs and atypical membrane proteins that could potentially be therapeutically exploited and targeted.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Intriguingly, a prior study uncovered the presence of tumor-specific antigens originating from certain repetitive sequences in various cancers, potentially eliciting immune responses25.”
From Multi-omics analysis identifies glioblastoma dependency on H3K9me3 methyltransferase activity (2025) · cites this paper as [25]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219
Cerami, E., Gao, J., Dogrusoz, U., Gross, B. E., Sumer, S. O., Aksoy, B. A., Jacobsen, A., Byrne, C. J., Heuer, M. L., Larsson, E., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0095 · Cited by 17,455
Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal
Gao, J., Aksoy, B. A., Dogrusoz, U., Dresdner, G., Gross, B., Sumer, S. O., Sun, Y., Jacobsen, A., Sinha, R., Larsson, E., et al. (2013) · Science Signaling · doi:10.1126/scisignal.2004088 · Cited by 15,160
Krogh, A., Larsson, B., von Heijne, G., & Sonnhammer, E. L. L. (2001) · Journal of Molecular Biology · doi:10.1006/jmbi.2000.4315 · Cited by 12,654
Trapnell, C., Roberts, A., Goff, L. A., Pertea, G. M., Kim, D., Kelley, D. R., Pimentel, H., Salzberg, S. L., Rinn, J. L., & Pachter, L. S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.016 · Cited by 12,145
Complex heatmaps reveal patterns and correlations in multidimensional genomic data
Gu, Z., Eils, R., & Schlesner, M. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw313 · Cited by 10,037
<tt>BLAT</tt> —The <tt>BLAST</tt> -Like Alignment Tool
Kent, W. J. (2002) · Genome Research · doi:10.1101/gr.229202 · Cited by 8,480
DNA methylation patterns and epigenetic memory
Bird, A. (2002) · Genes & Development · doi:10.1101/gad.947102 · Cited by 7,124
Pfam: the protein families database
Finn, R. D., Bateman, A., Clements, J., Coggill, P., Eberhardt, R. Y., Eddy, S. R., Heger, A., Hetherington, K., Holm, L., Mistry, J., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1223 · Cited by 6,148
The Immune Landscape of Cancer
Thorsson, V., Gibbs, D. L., Brown, S. D., Wolf, D., Bortone, D. S., Ou Yang, T.-H., Porta-Pardo, E., Gao, G. F., Plaisier, C. L., Eddy, J. A., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.03.023 · Cited by 5,870
The MaxQuant computational platform for mass spectrometry-based shotgun proteomics
Tyanova, S., Temu, T., & Cox, J. (2016) · Nature Protocols · doi:10.1038/nprot.2016.136 · Cited by 4,858
GENCODE: 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
Jones, P. A., & Baylin, S. B. (2007) · Cell · doi:10.1016/j.cell.2007.01.029 · Cited by 4,515
Next-generation characterization of the Cancer Cell Line Encyclopedia
Ghandi, M., Huang, F. W., Jané-Valbuena, J., Kryukov, G. V., Lo, C. C., McDonald, E. R., Barretina, J., Gelfand, E. T., Bielski, C. M., Li, H., et al. (2019) · Nature · doi:10.1038/s41586-019-1186-3 · Cited by 3,394
Car t cell immunotherapy for human cancer
June, C. H., O’Connor, R. S., Kawalekar, O. U., Ghassemi, S., & Milone, M. C. (2018) · Science · doi:10.1126/science.aar6711 · Cited by 3,207
Leinonen, R., Sugawara, H., & Shumway, M. F. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq1019 · Cited by 2,872
A decade of exploring the cancer epigenome—biological and translational implications
Baylin, S. B., & Jones, P. A. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3130 · Cited by 2,871
Sharma, S., Kelly, T. K., & Jones, P. A. (2010) · Carcinogenesis · doi:10.1093/carcin/bgp220 · Cited by 2,637
The UCSC Table Browser data retrieval tool
Karolchik, D. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh103 · Cited by 2,314
Comprehensive Characterization of Cancer Driver Genes and Mutations
Bailey, M. H., Tokheim, C., Porta-Pardo, E., Sengupta, S., Bertrand, D., Weerasinghe, A., Colaprico, A., Wendl, M. C., Kim, J., Reardon, B., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.060 · Cited by 2,256
Self-citationSmith, T. S., Heger, A., & Sudbery, I. M. (2017) · Genome Research · doi:10.1101/gr.209601.116 · Cited by 2,072
Transposable elements and the epigenetic regulation of the genome
Slotkin, R. K., & Martienssen, R. (2007) · Nature Reviews Genetics · doi:10.1038/nrg2072 · Cited by 2,044
Chiappinelli, K. B., Strissel, P. L., Desrichard, A., Li, H., Henke, C., Akman, B., Hein, A., Rote, N. S., Cope, L. M., Snyder, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.011 · Cited by 2,022
Proteogenomics connects somatic mutations to signalling in breast cancer
CPTAC, N., Mertins, P., Mani, D. R., Ruggles, K. V., Gillette, M. A., Clauser, K. R., Wang, P., Wang, X., Qiao, J. W., Cao, S., et al. (2016) · Nature · doi:10.1038/nature18003 · Cited by 1,676
CPC2: a fast and accurate coding potential calculator based on sequence intrinsic features
Kang, Y.-J., Yang, D.-C., Kong, L., Hou, M. L., Meng, Y.-Q., Wei, L., & Gao, G. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx428 · Cited by 1,619
Roulois, D., Loo Yau, H., Singhania, R., Wang, Y., Danesh, A., Shen, S. Y., Han, H., Liang, G., Jones, P. A., Pugh, T. J., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.056 · Cited by 1,527
Epigenetic inheritance at the agouti locus in the mouse
Morgan, H. D., Sutherland, H. G. E., Martin, D. I. K., & Whitelaw, E. (1999) · Nature Genetics · doi:10.1038/15490 · Cited by 1,476
Jurtz, V. I., Paul, S., Andreatta, M., Marcatili, P., Peters, B., & Nielsen, M. (2017) · The Journal of Immunology · doi:10.4049/jimmunol.1700893 · Cited by 1,476
The chromatin accessibility landscape of primary human cancers
Corces, M. R., Granja, J. M., Shams, S., Louie, B. H., Seoane, J. A., Zhou, W., Silva, T. C., Groeneveld, C., Wong, C. K., Cho, S. W., et al. (2018) · Science · doi:10.1126/science.aav1898 · Cited by 1,230
BioMart – biological queries made easy
Smedley, D. P., Haider, S. A., Ballester, B., Holland, R., London, D., Þórisson, G. Á., & Kasprzyk, A. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-22 · Cited by 1,114
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer
Zhang, H., Liu, T., Zhang, Z., Payne, S. H., Zhang, B., McDermott, J. E., Zhou, J.-Y., Petyuk, V. A., Chen, L., Ray, D., et al. (2016) · Cell · doi:10.1016/j.cell.2016.05.069 · Cited by 1,029
Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients
Kahles, A., Lehmann, K.-V., Toussaint, N. C., Hüser, M., Stark, S. G., Sachsenberg, T. T., Stegle, O., Kohlbacher, O., Sander, C., Johnson, R., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.07.001 · Cited by 914
Regulation of translation via mRNA structure in prokaryotes and eukaryotes
Kozak, M. (2005) · Gene · doi:10.1016/j.gene.2005.06.037 · Cited by 760
OpenMS: a flexible open-source software platform for mass spectrometry data analysis
Röst, H. L., Sachsenberg, T. T., Aiche, S., Bielow, C., Weisser, H., Aicheler, F., Andreotti, S., Ehrlich, H., Gutenbrunner, P., Kenar, E., et al. (2016) · Nature Methods · doi:10.1038/nmeth.3959 · Cited by 707
A comprehensive transcriptional portrait of human cancer cell lines
Klijn, C. N., Durinck, S., Stawiski, E. W., Haverty, P. M., Jiang, Z., Liu, H., Degenhardt, J. D., Mayba, O., Gnad, F., Liu, J., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.3080 · Cited by 669
CAR T cells in solid tumors: challenges and opportunities
Marofi, F., Motavalli, R., Safonov, V. A., Thangavelu, L., Yumashev, A. V., Alexander, M., Shomali, N., Chartrand, M. S., Pathak, Y., Jarahian, M., et al. (2021) · Stem Cell Research & Therapy · doi:10.1186/s13287-020-02128-1 · Cited by 582
Transposable elements in cancer
Burns, K. H. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2017.35 · Cited by 572 · cited 2×
“Tumor-specific TE-chimeric proteins (TS-TEPs) are abundantly detected in tumors Next, we predicted the protein products of these TE-chimeric transcripts using two methods as follows: (1) the longest open reading frame and (2) the first start codon with a ‘strong’ Kozak context (Methods).”
BackgroundMethodDNA methylation loss promotes immune evasion of tumours with high mutation and copy number load
Jung, H., Kim, H. S., Kim, J. Y., Sun, J., Ahn, J. S., Ahn, M., Park, K., Esteller, M., Lee, S., & Choi, J. K. (2019) · Nature Communications · doi:10.1038/s41467-019-12159-9 · Cited by 547
Noncoding regions are the main source of targetable tumor-specific antigens
Laumont, C. M., Vincent, K., Hesnard, L., Audemard, E. O., Bonneil, É., Laverdure, J., Gendron, P., Courcelles, M., Hardy, M., Côté, C., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aau5516 · Cited by 537
Bassani‐Sternberg, M., Pletscher-Frankild, S., Jensen, L. J., & Mann, M. (2015) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m114.042812 · Cited by 420
Wang, T., Zeng, J., Lowe, C. B., Sellers, R. G., Salama, S. R., Yang, M., Burgess, S. M., Brachmann, R. K., & Haussler, D. H. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0703637104 · Cited by 406
Self-citationTransposable elements drive widespread expression of oncogenes in human cancers
Jang, H. J., Shah, N. M., Du, A. Y., Dailey, Z. Z., Pehrsson, E. C., Godoy, P. M., Zhang, D., Li, D., Xing, X., Kim, S., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0373-3 · Cited by 403
Self-citationLamprecht, B., Walter, K., Kreher, S., Kumar, R., Hummel, M., Lenze, D., Köchert, K., Bouhlel, M. A., Richter, J., Soler, E., et al. (2010) · Nature Medicine · doi:10.1038/nm.2129 · Cited by 376
Transposable elements in human genetic disease
Payer, L. M., & Burns, K. H. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0165-8 · Cited by 366 · cited 2×
“Tumor-specific TE-chimeric proteins (TS-TEPs) are abundantly detected in tumors Next, we predicted the protein products of these TE-chimeric transcripts using two methods as follows: (1) the longest open reading frame and (2) the first start codon with a ‘strong’ Kozak context (Methods).”
BackgroundMethodDNMT and HDAC inhibitors induce cryptic transcription start sites encoded in long terminal repeats
Brocks, D., Schmidt, C. R., Daskalakis, M., Jang, H. S., Shah, N. M., Li, D., Li, J., Zhang, B., Hou, Y., Laudato, S., et al. (2017) · Nature Genetics · doi:10.1038/ng.3889 · Cited by 339
Self-citationThe Human Epigenome Browser at Washington University
Zhou, X., Maricque, B. B., Xie, M., Li, D., Sundaram, V., Martin, E. A., Koebbe, B. C., Nielsen, C. B., Hirst, M., Farnham, P., et al. (2011) · Nature Methods · doi:10.1038/nmeth.1772 · Cited by 304
Self-citationKong, Y., Rose, C. M., Cass, A. A., Williams, A. G., Darwish, M., Lianoglou, S., Haverty, P. M., Tong, A.-J., Blanchette, C., Albert, M. L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13035-2 · Cited by 285
HLA typing from RNA-Seq sequence reads
Boegel, S., Löwer, M., Schäfer, M. K. E., Bukur, T., de Graaf, J., Boisguérin, V., Türeci, Ö., Diken, M., Castle, J. C., & Şahin, U. (2012) · Genome Medicine · doi:10.1186/gm403 · Cited by 278
Making Better Chimeric Antigen Receptors for Adoptive T-cell Therapy
Maus, M. V., & June, C. H. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-1433 · Cited by 276
Leonova, K. I., Brodsky, L., Lipchick, B. C., Pal, M., Novototskaya, L. R., Chenchik, A. A., Sen, G. C., Komarova, E. A., & Gudkov, A. V. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216922110 · Cited by 273
Endogenous retroviral promoter exaptation in human cancer
Babaian, A., & Mager, D. L. (2016) · Mobile DNA · doi:10.1186/s13100-016-0080-x · Cited by 261 · cited 1×
“would be any of the following six categories: (1) none, (2) normal, (3) truncated, (4) chimeric normal, (5) chimeric truncated or (6) frameshift (Fig.”
BackgroundAlternative transcription initiation leads to expression of a novel ALK isoform in cancer
Wiesner, T., Lee, W., Obenauf, A. C., Ran, L., Murali, R., Zhang, Q. F., Wong, E. W. P., Hu, W., Scott, S. N., Shah, R. H., et al. (2015) · Nature · doi:10.1038/nature15258 · Cited by 254
CAGEr: precise TSS data retrieval and high-resolution promoterome mining for integrative analyses
Haberle, V., Forrest, A. R. R., Hayashizaki, Y., Carninci, P., & Lenhard, B. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv054 · Cited by 241
CAR T Cells in Solid Tumors: Blueprints for Building Effective Therapies
Knochelmann, H. M., Smith, A. S., Dwyer, C. J., Wyatt, M. M., Mehrotra, S., & Paulos, C. M. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01740 · Cited by 188
Andrysík, Z., Galbraith, M. D., Guarnieri, A. L., Zaccara, S., Sullivan, K. D., Pandey, A., MacBeth, M. L., Inga, A., & Espinosa, J. M. (2017) · Genome Research · doi:10.1101/gr.220533.117 · Cited by 155
Mass spectrometry-based antigen discovery for cancer immunotherapy
Bassani‐Sternberg, M., & Coukos, G. (2016) · Current Opinion in Immunology · doi:10.1016/j.coi.2016.04.005 · Cited by 142
Newey, A., Griffiths, B. L., Michaux, J., Pak, H. S., Stevenson, B. J., Woolston, A., Semiannikova, M., Spain, G., Barber, L. J., Matthews, N., et al. (2019) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-019-0769-8 · Cited by 133
Onco-exaptation of an endogenous retroviral LTR drives IRF5 expression in Hodgkin lymphoma
Babaian, A., Romanish, M. T., Gagnier, L., Kuo, L. Y., Karimi, M. M., Steidl, C., & Mager, D. L. (2016) · Oncogene · doi:10.1038/onc.2015.308 · Cited by 121 · cited 1×
“would be any of the following six categories: (1) none, (2) normal, (3) truncated, (4) chimeric normal, (5) chimeric truncated or (6) frameshift (Fig.”
Backgroundp53 directly represses human LINE1 transposonsPreprint
Tiwari, B., Jones, A. E., Caillet, C. J., Das, S., Royer, S. K., & Abrams, J. (2020) · Genes & Development · doi:10.1101/gad.343186.120 · Cited by 120
Attig, J., Young, G. R., Hosie, L., Perkins, D., Encheva-Yokoya, V., Stoye, J. P., Snijders, A. P., Ternette, N., & Kassiotis, G. (2019) · Genome Research · doi:10.1101/gr.248922.119 · Cited by 113
Bonaventura, P., Alcazer, V., Mutez, V., Tonon, L., Martin, J., Chuvin, N., Michel, E., Boulos, R. E., Estornes, Y., Valladeau‐Guilemond, J., et al. (2022) · Science Advances · doi:10.1126/sciadv.abj3671 · Cited by 113
McKerrow, W., Wang, X., Mendez‐Dorantes, C., Mita, P., Cao, S., Grivainis, M., Ding, L., LaCava, J., Burns, K. H., Boeke, J. D., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2115999119 · Cited by 112
pblat: a multithread blat algorithm speeding up aligning sequences to genomes
Wang, M., & Kong, L. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-2597-8 · Cited by 110
Scholtalbers, J., Boegel, S., Bukur, T., Byl, M., Goerges, S., Sorn, P., Löewer, M., Şahin, U., & Castle, J. C. (2015) · Genome Medicine · doi:10.1186/s13073-015-0240-5 · Cited by 89
Lock, F. E., Rebollo, R., Miceli-Royer, K., Gagnier, L., Kuah, S., Babaian, A., Sistiaga-Poveda, M., Lai, C. B., Nemirovsky, O., Serrano, I., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1405507111 · Cited by 78 · cited 1×
“would be any of the following six categories: (1) none, (2) normal, (3) truncated, (4) chimeric normal, (5) chimeric truncated or (6) frameshift (Fig.”
BackgroundFANTOM5 CAGE profiles of human and mouse reprocessed for GRCh38 and GRCm38 genome assemblies
Abugessaisa, I., Noguchi, S., Hasegawa, A., Harshbarger, J., Kondo, A., Lizio, M., Severin, J., Carninci, P., Kawaji, H., & Kasukawa, T. (2017) · Scientific Data · doi:10.1038/sdata.2017.107 · Cited by 77
P53 and the defenses against genome instability caused by transposons and repetitive elements
Levine, A. J., Ting, D. T., & Greenbaum, B. D. (2016) · BioEssays · doi:10.1002/bies.201600031 · Cited by 73
Mass Spectrometry Based Immunopeptidomics for the Discovery of Cancer Neoantigens
Bassani‐Sternberg, M. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7537-2_14 · Cited by 70
BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies
Lamúrias, A., Sousa, D., Clarke, L. A., & Couto, F. M. (2019) · BMC Bioinformatics · doi:10.1186/s12859-018-2584-5 · Cited by 66
NanoCAGE: A High-Resolution Technique to Discover and Interrogate Cell TranscriptomesPreprint
Salimullah, M., Salimullah, M., Sakai, M., & Plessy, C. (2011) · Cold Spring Harbor Protocols · doi:10.1101/pdb.prot5559 · Cited by 63
Transposable elements and human cancer: A causal relationship?
Chénais, B. (2012) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2012.09.001 · Cited by 62 · cited 1×
“would be any of the following six categories: (1) none, (2) normal, (3) truncated, (4) chimeric normal, (5) chimeric truncated or (6) frameshift (Fig.”
BackgroundReverse Transcriptase Inhibition Disrupts Repeat Element Life Cycle in Colorectal Cancer.
Rajurkar, M., Parikh, A. R., Solovyov, A., You, E., Kulkarni, A. S., Chu, C., Xu, K. H., Jaicks, C., Taylor, M. S., Wu, C., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-1117 · Cited by 61
TagDust2: a generic method to extract reads from sequencing data
Lassmann, T. (2015) · BMC Bioinformatics · doi:10.1186/s12859-015-0454-y · Cited by 60
Transposons, p53 and Genome Security
Tiwari, B., Jones, A. E., & Abrams, J. (2018) · Trends in Genetics · doi:10.1016/j.tig.2018.08.003 · Cited by 52
An atlas of transposable element-derived alternative splicing in cancer
Clayton, E. A., Rishishwar, L., Huang, T.-C., Gulati, S., Ban, D., McDonald, J. F., & Jordan, I. K. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0342 · Cited by 48
Cumbie, J. S., Ivanchenko, M. G., & Megraw, M. S. (2015) · BMC Genomics · doi:10.1186/s12864-015-1670-6 · Cited by 46
Bonaventura, P., Alcazer, V., Mutez, V., Tonon, L., Martin, J., Chuvin, N., Boulos, R. E., Estornes, Y., Valladeau‐Guilemond, J., Viari, A., et al. (2021) · Regular and Young Investigator Award Abstracts · doi:10.1136/jitc-2021-sitc2021.691 · Cited by 9
Cited by
Sorted by citations
Repetitive DNA sequence detection and its role in the human genome
Liao, X., Zhu, W., Zhou, J., Li, H., Xu, X., Zhang, B., & Gao, X. (2023) · Communications Biology · doi:10.1038/s42003-023-05322-y · Cited by 200
Activation of human endogenous retroviruses and its physiological consequences
Dopkins, N., & Nixon, D. F. (2024) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-023-00674-z · Cited by 122
“…two exons of a gene, splicing often goes awry in malignant conditions 136 , resulting in non-canonical trans-splicing between exons and overabundant HERV RNAs, thereby forming junction between exons and transposable element (JET) mRNAs, which are translated to form recurrent TSAs 131,132,135 (Fig.”
Clinical advances of mRNA vaccines for cancer immunotherapy
Yaremenko, A. V., Khan, M. M., Zhen, X., Tang, Y., & Tao, W. (2025) · Med · doi:10.1016/j.medj.2024.11.015 · Cited by 133
Mendez‐Dorantes, C., & Burns, K. H. (2023) · Genes & Development · doi:10.1101/gad.351051.123 · Cited by 114
Prediction of tumor-reactive T cell receptors from scRNA-seq data for personalized T cell therapy
Tan, C. L., Lindner, K. A. M., Boschert, T., Meng, Z., Rodriguez-Ehrenfried, A., Roia, A. D., Haltenhof, G., Faenza, A., Imperatore, F., Bunse, L., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-024-02161-y · Cited by 94
Metadata
- Authors
- Shah, N. M., Jang, H. J., Liang, Y., Maeng, J. H., Tzeng, S.-C., Wu, A., Basri, N. L., Qu, X., Fan, C., Li, A., Katz, B., Li, D., Xing, X., Evans, B. S., & Wang, T.
- Affiliations
- Washington University in St. Louis (US)
- Van Andel Institute (US)
- Donald Danforth Plant Science Center (US)
- Corresponding author
- Wang, Ting
- ORCID
- Venue
- Nature Genetics
- Published
- 2023-03-27
- Volume
- 55
- Issue
- 4
- Pages
- 631-639
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC13152471
- OpenAlex
- W4360999762
- Cited by
- 175
- References
- 70
- Citations by year
- 2026: 40 · 2025: 61 · 2024: 46 · 2023: 27
- FWCI
- 22.95
- Type
- journal article
- Language
- en
- Open access
- green
- pmc.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion)
- Funders
- National Human Genome Research Institute (R01HG007175, U01HG009391)
- National Institute of General Medical Sciences (T32GM007067)
- National Institute of Environmental Health Sciences (U24ES026699)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- transposable elements, cryptic promoter, tumor-specific antigens, cancer immunotherapy, membrane proteins, pan-cancer analysis, cancer cell lines
- MeSH terms
- Adult, Antigens, Neoplasm, Cell Line, DNA Transposable Elements, Humans, Neoplasms, Promoter Regions, Genetic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review