The DOI matches its Crossref record; 60 of the 61 references it cites were found in a registry or an index.
Epigenetic silencing by SETDB1 suppresses tumour intrinsic immunogenicity
Open accessAbstract
Epigenetic dysregulation is a defining feature of tumorigenesis that is implicated in immune escape 1,2. Here, to identify factors that modulate the immune sensitivity of cancer cells, we performed in vivo CRISPR-Cas9 screens targeting 936 chromatin regulators in mouse tumour models treated with immune checkpoint blockade. We identified the H3K9 methyltransferase SETDB1 and other members of the HUSH and KAP1 complexes as mediators of immune escape 3-5. We also found that amplification of SETDB1 (1q21.3) in human tumours is associated with immune exclusion and resistance to immune checkpoint blockade. SETDB1 represses broad domains, primarily within the open genome compartment. These domains are enriched for transposable elements (TEs) and immune clusters associated with segmental duplication events, a central mechanism of genome evolution 6. SETDB1 loss derepresses latent TE-derived regulatory elements, immunostimulatory genes, and TE-encoded retroviral antigens in these regions, and triggers TE-specific cytotoxic T cell responses in vivo. Our study establishes SETDB1 as an epigenetic checkpoint that suppresses tumour-intrinsic immunogenicity, and thus represents a candidate target for immunotherapy.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Targeting specific H3K9 methyltransferases, such as SUV39H1 and SETDB1, has been shown to enhance immunotherapy responses in various cancer models.”
From Multi-omics analysis identifies glioblastoma dependency on H3K9me3 methyltransferase activity (2025) · cites this paper as [24]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“SETDB1 targeting can promote cytotoxic T cell-based immunotherapy in cancer mouse models24.”
From Multi-omics analysis identifies glioblastoma dependency on H3K9me3 methyltransferase activity (2025) · cites this paper as [24]
The cited source says what the claim attributes to it.
In the citing paper
“In contrast to other recently characterized immune evasion genes 4,8,45 , tumour-specific loss of TBK1 did not result in dramatic remodeling of the immune compartment.”
From Targeting TBK1 to overcome resistance to cancer immunotherapy (2023) · cites this paper as [45]
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
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Self-citationThe Molecular Signatures Database Hallmark Gene Set Collection
Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems · doi:10.1016/j.cels.2015.12.004 · Cited by 13,807
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174
Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome
Lieberman-Aiden, E., van Berkum, N. L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., Amit, I., Lajoie, B. R., Sabo, P. J., Dorschner, M. O., et al. (2009) · Science · doi:10.1126/science.1181369 · Cited by 8,898
Self-citationSCANPY: large-scale single-cell gene expression data analysis
Wolf, F. A., Angerer, P., & Theis, F. J. (2018) · Genome Biology · doi:10.1186/s13059-017-1382-0 · Cited by 8,881
Molecular signatures database (MSigDB) 3.0
Liberzon, A., Subramanian, A., Pinchback, R., Thorvaldsdóttir, H., Tamayo, P., & Mesirov, J. P. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr260 · Cited by 7,111
Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013) · Nature Methods · doi:10.1038/nmeth.2688 · Cited by 6,422
Nivolumab versus Everolimus in Advanced Renal-Cell Carcinoma
Motzer, R. J., Escudier, B., McDermott, D. F., George, S., Hammers, H. J., Srinivas, S., Tykodi, S. S., Sosman, J. A., Procopio, G., Plimack, E. R., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1510665 · Cited by 5,807
Primary, Adaptive, and Acquired Resistance to Cancer Immunotherapy
Sharma, P., Hu-Lieskovan, S., Wargo, J. A., & Ribas, A. (2017) · Cell · doi:10.1016/j.cell.2017.01.017 · Cited by 5,588
The Gene Ontology Resource: 20 years and still GOing strong
The Gene Ontology Consortium (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1055 · Cited by 4,747
Visualizing and interpreting cancer genomics data via the Xena platform
Goldman, M. J., Craft, B., Hastie, M., Repečka, K., McDade, F., Kamath, A., Banerjee, A., Luo, Y., Rogers, D., Brooks, A. N., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0546-8 · Cited by 4,481
GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists
Eden, E., Navon, R., Steinfeld, I., Lipson, D., & Yakhini, Z. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-48 · Cited by 3,356
Fundamental Mechanisms of Immune Checkpoint Blockade Therapy
Wei, S. C., Duffy, C. R., & Allison, J. P. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-0367 · Cited by 3,088
Mi, H., Muruganujan, A., Ebert, D., Huang, X., & Thomas, P. D. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1038 · Cited by 3,030
Reynisson, B., Alvarez, B., Paul, S., Peters, B., & Nielsen, M. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa379 · Cited by 2,361
The Encyclopedia of DNA elements (ENCODE): data portal update
Davis, C. A., Hitz, B. C., Sloan, C. A., Chan, E. T., Davidson, J. M., Gabdank, I., Hilton, J. A., Jain, K., Baymuradov, U. K., Narayanan, A. K., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1081 · Cited by 1,717
Chromatin architecture reorganization during stem cell differentiation
Dixon, J. R., Jung, I., Selvaraj, S., Shen, Y., Antosiewicz-Bourget, J. E., Lee, A. Y., Ye, Z., Kim, A., Rajagopal, N., Xie, W., et al. (2015) · Nature · doi:10.1038/nature14222 · Cited by 1,646
Rational design of highly active sgRNAs for CRISPR-Cas9-mediated gene inactivation
Doench, J. G., Hartenian, E., Graham, D. B., Tothova, Z., Hegde, M., Smith, I., Sullender, M., Ebert, B. L., Xavier, R. J., & Root, D. E. (2014) · Nature Biotechnology · doi:10.1038/nbt.3026 · Cited by 1,617
Self-citationCosman, D., Müllberg, J., Sutherland, C. L., Chin, W. A., Armitage, R., Fanslow, W., Kubin, M., & Chalupny, N. (2001) · Immunity · doi:10.1016/s1074-7613(01)00095-4 · Cited by 1,394
Multiscale 3D Genome Rewiring during Mouse Neural Development
Bonev, B., Mendelson Cohen, N., Szabo, Q., Fritsch, L., Papadopoulos, G. L., Lubling, Y., Xu, X., Lv, X., Hugnot, J.-P., Tanay, A., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.043 · Cited by 1,338
Genomic correlates of response to immune checkpoint therapies in clear cell renal cell carcinoma
Miao, D., Margolis, C. A., Gao, W., Voss, M. H., Li, W., Martini, D. J., Norton, C., Bossé, D., Wankowicz, S. M., Cullen, D., et al. (2018) · Science · doi:10.1126/science.aan5951 · Cited by 1,249
In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target
Manguso, R. T., Pope, H. W., Zimmer, M. D., Brown, F. D., Yates, K. B., Miller, B. C., Collins, N. B., Bi, K., LaFleur, M. W., Juneja, V. R., et al. (2017) · Nature · doi:10.1038/nature23270 · Cited by 1,147
Self-citationPooling across cells to normalize single-cell RNA sequencing data with many zero counts
L. Lun, A. T., Bach, K., & Marioni, J. C. (2016) · Genome Biology · doi:10.1186/s13059-016-0947-7 · Cited by 1,108
Braun, D. A., Hou, Y., Bakouny, Z., Ficial, M., Sant’ Angelo, M., Forman, J., Ross-Macdonald, P., Berger, A. C., Jegede, O. A., Elagina, L., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0839-y · Cited by 992
Coinhibitory Pathways in Immunotherapy for Cancer
Baumeister, S. H. C., Freeman, G. J., Dranoff, G., & Sharpe, A. H. (2016) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032414-112049 · Cited by 937
KAP1 controls endogenous retroviruses in embryonic stem cells
Rowe, H. M., Jakobsson, J., Mesnard, D., Rougemont, J., Reynard, S., Aktas, T., Maillard, P. V., Layard-Liesching, H., Verp, S., Marquis, J., et al. (2010) · Nature · doi:10.1038/nature08674 · Cited by 874
Proviral silencing in embryonic stem cells requires the histone methyltransferase ESET
Matsui, T., Leung, D., Miyashita, H., Maksakova, I. A., Miyachi, H., Kimurâ, H., Tachibana, M., Lorincz, M. C., & Shinkai, Y. (2010) · Nature · doi:10.1038/nature08858 · Cited by 842
LSD1 Ablation Stimulates Anti-tumor Immunity and Enables Checkpoint Blockade
Sheng, W., LaFleur, M. W., Nguyen, T. H., Chen, S., Chakravarthy, A., Conway, J. R., Li, Y., Chen, H., Yang, H., Hsu, P.-H., et al. (2018) · Cell · doi:10.1016/j.cell.2018.05.052 · Cited by 693
Self-citationBurr, M. L., Sparbier, C. E., Chan, K. L., Chan, Y.-C., Kersbergen, A. J., Lam, E. Y. N., Azidis-Yates, E., Vassiliadis, D., Bell, C. C., Gilan, O., et al. (2019) · Cancer Cell · doi:10.1016/j.ccell.2019.08.008 · Cited by 671
Abelin, J. G., Keskin, D. B., Sarkizova, S., Hartigan, C. R., Zhang, W., Sidney, J., Stevens, J. D., Lane, W. J., Zhang, G., Eisenhaure, T., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.02.007 · Cited by 607
Self-citationThe hallmarks of successful anticancer immunotherapy
Galluzzi, L., Chan, T. A., Kroemer, G., Wolchok, J. D., & López-Soto, A. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aat7807 · Cited by 575
Epigenetic therapy in immune-oncology
Jones, P. A., Ohtani, H., Chakravarthy, A., & Carvalho, D. D. D. (2019) · Nature reviews. Cancer · doi:10.1038/s41568-019-0109-9 · Cited by 559
The histone methyltransferase SETDB1 is recurrently amplified in melanoma and accelerates its onset
Ceol, C. J., Houvras, Y., Jane-Valbuena, J., Bilodeau, S., Orlando, D. A., Battisti, V., Fritsch, L., Lin, W. M., Hollmann, T. J., Ferré, F., et al. (2011) · Nature · doi:10.1038/nature09806 · Cited by 542
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
An evolutionary arms race between KRAB zinc-finger genes ZNF91/93 and SVA/L1 retrotransposons
Jacobs, F. M. J., Greenberg, D., Nguyen, N., Haeussler, M., Ewing, A. D., Katzman, S., Paten, B., Salama, S. R., & Haussler, D. (2014) · Nature · doi:10.1038/nature13760 · Cited by 506
Sarkizova, S., Klaeger, S., Le, P. M., Li, L. W., Oliveira, G., Keshishian, H., Hartigan, C. R., Zhang, W., Braun, D. A., Ligon, K. L., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0322-9 · Cited by 488
Self-citationMertins, P., Tang, L. C., Krug, K., Clark, D. J., Gritsenko, M., Chen, L., Clauser, K. R., Clauss, T. R., Shah, P., Gillette, M. A., et al. (2018) · Nature Protocols · doi:10.1038/s41596-018-0006-9 · Cited by 466
Self-citationThe emerging role of epigenetic therapeutics in immuno-oncology
Topper, M. J., Vaz, M., Marrone, K. A., Brahmer, J. R., & Baylin, S. B. (2020) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-019-0266-5 · Cited by 433
Epigenetic silencing by the HUSH complex mediates position-effect variegation in human cells
Tchasovnikarova, I. A., Timms, R. T., Matheson, N. J., Wals, K., Antrobus, R., Göttgens, B., Dougan, G., Dawson, M. A., & Lehner, P. J. (2015) · Science · doi:10.1126/science.aaa7227 · Cited by 375
Epigenetic therapy induces transcription of inverted SINEs and ADAR1 dependency
Mehdipour, P., Marhon, S. A., Ettayebi, I., Chakravarthy, A., Hosseini, A., Wang, Y., de Castro, F. A., Loo Yau, H., Ishak, C., Abelson, S., et al. (2020) · Nature · doi:10.1038/s41586-020-2844-1 · Cited by 304
Silencing of retrotransposons by SETDB1 inhibits the interferon response in acute myeloid leukemia
Cuellar, T. L., Herzner, A., Zhang, X., Goyal, Y., Watanabe, C. K., Friedman, B. A., Janakiraman, V., Durinck, S., Stinson, J., Arnott, D. P., et al. (2017) · The Journal of Cell Biology · doi:10.1083/jcb.201612160 · Cited by 241
Li, F., Huang, Q., Luster, T. A., Hu, H., Zhang, H., Ng, W., Khodadadi‐Jamayran, A., Wang, W., Chen, T., Deng, J., et al. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0780 · Cited by 209
Human adaptation and evolution by segmental duplication
Dennis, M. Y., & Eichler, E. E. (2016) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2016.08.001 · Cited by 193
Takahashi, Y., Harashima, N., Kajigaya, S., Yokoyama, H., Cherkasova, E. A., McCoy, J. P., Hanada, K., Mena, O. J., Kurlander, R. J., Tawab, A., et al. (2008) · Journal of Clinical Investigation · doi:10.1172/jci34409 · Cited by 190
Takahashi, Y., Harashima, N., Kajigaya, S., Yokoyama, H., Cherkasova, E. A., McCoy, J. P., Hanada, K., Mena, O. J., Kurlander, R. J., Tawab, A., et al. (2008) · Journal of Clinical Investigation · doi:10.1172/jci34409c1 · Cited by 180
Evans, L. H., Morrison, R. P., Malik, F., Portis, J. L., & Britt, W. J. (1990) · Journal of Virology · doi:10.1128/jvi.64.12.6176-6183.1990 · Cited by 164
A discriminative learning approach to differential expression analysis for single-cell RNA-seq
Ntranos, V., Yi, L., Melsted, P., & Pachter, L. S. (2019) · Nature Methods · doi:10.1038/s41592-018-0303-9 · Cited by 152
Kmt1e regulates a large neuron-specific topological chromatin domain
Jiang, Y., Loh, Y., Rajarajan, P., Hirayama, T., Liao, W., Kassim, B. S., Javidfar, B., Hartley, B., Kleofas, L., Park, R. B., et al. (2017) · Nature Genetics · doi:10.1038/ng.3906 · Cited by 128
Adoue, V., Binet, B., Malbec, A., Fourquet, J., Romagnoli, P., van Meerwijk, J. P. M., Amigorena, S., & Joffre, O. P. (2019) · Immunity · doi:10.1016/j.immuni.2019.01.003 · Cited by 119
A multiplexed system for quantitative comparisons of chromatin landscapes
van Galen, P., Viny, A., Ram, O., Ryan, R. J. H., Cotton, M. J., Donohue, L., Sievers, C., Drier, Y., Liau, B. B., Gillespie, S. M., et al. (2015) · Molecules and Cells · doi:10.1016/j.molcel.2015.11.003 · Cited by 118
Self-citationMechanisms of Tumor Cell–Intrinsic Immune Evasion
Spranger, S., & Gajewski, T. F. (2017) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-030617-050606 · Cited by 113
Immunization against endogenous retroviral tumor-associated antigens.
Kershaw, M. H., Hsu, C., Mondesire, W. H., Parker, L. L., Wang, G., Overwijk, W. W., Lapointe, R., Yang, J. C.-H., Wang, R., Restifo, N. P., et al. (2001) · PubMed · Cited by 84
Nakagawa, S., & Ueda, M. T. (2016) · Database · doi:10.1093/database/baw087 · Cited by 83
White, H. D., ROEDER, D. A., & Green, W. R. (1994) · Journal of Virology · doi:10.1128/jvi.68.2.897-904.1994 · Cited by 41
Functional signatures of evolutionarily young CTCF binding sites
Azazi, D., Mudge, J. M., Odom, D. T., & Flicek, P. (2020) · BMC Biology · doi:10.1186/s12915-020-00863-8 · Cited by 14
Mint-ChIP3: A low-input ChIP-seq protocol using multiplexed chromatin and T7 amplification v1Preprint
Walter, L. D., van Galen, P., Bernstein, B., & Epstein, C. B. (2018) · doi:10.17504/protocols.io.wbefaje · Cited by 3
Self-citation
Cited by
Sorted by citations
The hallmarks of cancer immune evasion
Galassi, C., Chan, T. A.-T., Vitale, I., & Galluzzi, L. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.09.010 · Cited by 630
Padeken, J., Methot, S. P., & Gasser, S. M. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00483-w · Cited by 532
Blocking PD-L1–PD-1 improves senescence surveillance and ageing phenotypes
Wang, T.-W., Johmura, Y., Suzuki, N., Omori, S., Migita, T., Yamaguchi, K., Hatakeyama, S., Yamazaki, S., Shimizu, E., Imoto, S., et al. (2022) · Nature · doi:10.1038/s41586-022-05388-4 · Cited by 469
Immune evasion in cancer: mechanisms and cutting-edge therapeutic approaches
Tufail, M., Jiang, C., & Li, N. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02280-1 · Cited by 454
Shi, Q., Shen, Q., Liu, Y., Shi, Y., Huang, W., Wang, X., Li, Z., Chai, Y., Wang, H., Hu, X., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.08.012 · Cited by 337
Metadata
- Authors
- Griffin, G. K., Wu, J., Iracheta-Vellve, A., Patti, J. C., Hsu, J., Davis, T., Dele-Oni, D., Du, P. P., Halawi, A. G., Ishizuka, J. J., Kim, S. Y., Klaeger, S., Knudsen, N. H., Miller, B. C., Nguyen, T. H., Olander, K. E., Papanastasiou, M., Rachimi, S., Robitschek, E. J., Schneider, E. M., Yeary, M. D., Zimmer, M. D., Jaffe, J. D., Carr, S. A., Doench, J. G., Haining, W. N., Yates, K. B., Manguso, R. T., & Bernstein, B. E.
- Affiliations
- Broad Institute (US)
- Harvard University (US)
- Corresponding author
- Manguso, Robert T.
- Bernstein, Bradley E.
- ORCID
- Griffin, Gabriel K.
- Wu, Jingyi
- Iracheta-Vellve, Arvin
- Patti, James C.
- Hsu, Jeffrey
- Dele-Oni, Deborah
- Du, Peter P.
- Halawi, Aya G.
- Ishizuka, Jeffrey J.
- Kim, Sarah Y.
- Klaeger, Susan
- Knudsen, Nelson H.
- Miller, Brian C.
- Nguyen, Tung H.
- Olander, Kira E.
- Papanastasiou, Malvina
- Rachimi, Suzanna
- Robitschek, Emily J.
- Schneider, Emily M.
- Yeary, Mitchell D.
- Zimmer, Margaret D.
- Jaffe, Jacob D.
- Carr, Steven A.
- Doench, John G.
- Haining, W. Nicholas
- Yates, Kathleen B.
- Manguso, Robert T.
- Bernstein, Bradley E.
- Venue
- Nature
- Published
- 2021-05-05
- Volume
- 595
- Issue
- 7866
- Pages
- 309-314
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC9166167
- OpenAlex
- W3158155618
- Cited by
- 370
- References
- 61
- Citations by year
- 2026: 57 · 2025: 78 · 2024: 77 · 2023: 69 · 2022: 70 · 2021: 19
- FWCI
- 21.55
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Cancer Institute (DP1CA216873, K08CA245112, U24CA210986, U01CA214125)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- SETDB1, H3K9 methyltransferase, epigenetic silencing, tumor immunogenicity, immune evasion, immune checkpoint blockade, transposable elements, segmental duplication, retroviral antigens, cytotoxic T lymphocytes, HUSH complex, chromatin regulators, immunotherapy targets
- MeSH terms
- Animals, Antigens, Viral, Chromatin, Disease Models, Animal, DNA Transposable Elements, Female, Humans, Neoplasms, Histone-Lysine N-Methyltransferase, T-Lymphocytes, Cytotoxic, Histocompatibility Antigens Class I, Gene Silencing, Mice, Programmed Cell Death 1 Receptor, CRISPR-Cas Systems
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
