The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Global chromatin profiling reveals NSD2 mutations in pediatric acute lymphoblastic leukemia
Open accessAbstract
Epigenetic dysregulation is an emerging hallmark of cancers. We developed a high-information-content mass spectrometry approach to profile global histone modifications in human cancers. When applied to 115 lines from the Cancer Cell Line Encyclopedia, this approach identified distinct molecular chromatin signatures. One signature was characterized by increased histone 3 lysine 36 (H3K36) dimethylation, exhibited by several lines harboring translocations in NSD2, which encodes a methyltransferase. A previously unknown NSD2 p.Glu1099Lys (p.E1099K) variant was identified in nontranslocated acute lymphoblastic leukemia (ALL) cell lines sharing this signature. Ectopic expression of the variant induced a chromatin signature characteristic of NSD2 hyperactivation and promoted transformation. NSD2 knockdown selectively inhibited the proliferation of NSD2-mutant lines and impaired the in vivo growth of an NSD2-mutant ALL xenograft. Sequencing analysis of >1,000 pediatric cancer genomes identified the NSD2 p.E1099K alteration in 14% of t(12;21) ETV6-RUNX1–containing ALLs. These findings identify NSD2 as a potential therapeutic target for pediatric ALL and provide a general framework for the functional annotation of cancer epigenomes.
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.
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
Shrestha, S., & Offer, S. M. (2016) · Medical Epigenetics · doi:10.1159/000444713 · Cited by 8,914
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
Self-citationSkyline: an open source document editor for creating and analyzing targeted proteomics experiments
MacLean, B., Tomazela, D. M., Shulman, N., Chambers, M., Finney, G. L., Frewen, B., Kern, R., Tabb, D. L., Liebler, D. C., & MacCoss, M. J. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq054 · Cited by 4,697
The SWISS-MODEL Repository and associated resources
Kiefer, F., Arnold, K., Kunzli, M., Bordoli, L., & Schwede, T. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn750 · Cited by 2,012
Genome-wide analysis of genetic alterations in acute lymphoblastic leukaemia
Mullighan, C. G., Goorha, S., Radtke, I., Miller, C. B., Coustan-Smith, E., Dalton, J. D., Girtman, K., Mathew, S., Ma, J., Pounds, S. B., et al. (2007) · Nature · doi:10.1038/nature05690 · Cited by 1,801
Self-citationEZH2 inhibition as a therapeutic strategy for lymphoma with EZH2-activating mutations
McCabe, M. T., Ott, H. M., Ganji, G., Korenchuk, S., Thompson, C., Van Aller, G. S., Liu, Y., Graves, A. P., III, A. D. P., Diaz, E., et al. (2012) · Nature · doi:10.1038/nature11606 · Cited by 1,786
Frequent mutation of histone-modifying genes in non-Hodgkin lymphoma
Morin, R. D., Mendez-Lago, M., Mungall, A. J., Goya, R., Mungall, K. L., Corbett, R. D., Johnson, N. A., Severson, T. M., Chiu, R., Field, M., et al. (2011) · Nature · doi:10.1038/nature10351 · Cited by 1,614
The genetic basis of early T-cell precursor acute lymphoblastic leukaemia
Zhang, J., Ding, L., Holmfeldt, L., Wu, G., Heatley, S. L., Payne-Turner, D., Easton, J., Chen, X., Wang, J., Rusch, M., et al. (2012) · Nature · doi:10.1038/nature10725 · Cited by 1,596
Self-citationInactivating mutations of the histone methyltransferase gene EZH2 in myeloid disorders
Ernst, T., Chase, A. J., Score, J., Hidalgo-Curtis, C. E., Bryant, C., Jones, A. V., Waghorn, K., Zoi, K., Ross, F. M., Reiter, A., et al. (2010) · Nature Genetics · doi:10.1038/ng.621 · Cited by 1,139
Genomic Analysis of the Clonal Origins of Relapsed Acute Lymphoblastic Leukemia
Mullighan, C. G., Phillips, L. A., Su, X., Ma, J., Miller, C. B., Shurtleff, S. A., & Downing, J. R. (2008) · Science · doi:10.1126/science.1164266 · Cited by 806
Self-citation
Cited by
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
Self-citationEpigenetic modulators, modifiers and mediators in cancer aetiology and progression
Feinberg, A. P., Koldobskiy, M. A., & Göndör, A. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.13 · Cited by 841
Carr, S. A., Abbatiello, S. E., Ackermann, B. L., Borchers, C., Domon, B., Deutsch, E. W., Grant, R. P., Hoofnagle, A. N., Hüttenhain, R., Koomen, J. M., et al. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.036095 · Cited by 561
Self-citationThe evolving metabolic landscape of chromatin biology and epigenetics
Dai, Z., Ramesh, V., & Locasale, J. W. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-020-0270-8 · Cited by 494
The landscape of somatic mutations in epigenetic regulators across 1,000 paediatric cancer genomes
Huether, R., Dong, L., Chen, X., Wu, G., Parker, M., Wei, L., Ma, J., Edmonson, M. N., Hedlund, E. K., Rusch, M. C., et al. (2014) · Nature Communications · doi:10.1038/ncomms4630 · Cited by 379
Self-citation
Metadata
- Authors
- Jaffe, J. D., Wang, Y., Chan, H. M., Zhang, J., Huether, R., Kryukov, G. V., Bhang, H.-E. C., Taylor, J. E., Hu, M., Englund, N. P., Yan, F., Wang, Z., Robert McDonald, E., Wei, L., Ma, J., Easton, J., Yu, Z., deBeaumount, R., Gibaja, V., Venkatesan, K., Schlegel, R., Sellers, W. R., Keen, N., Liu, J., Caponigro, G., Barretina, J., Cooke, V. G., Mullighan, C., Carr, S. A., Downing, J. R., Garraway, L. A., & Stegmeier, F.
- Venue
- Nature Genetics
- Published
- 2013-09-29
- Volume
- 45
- Issue
- 11
- Pages
- 1386-1391
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W1993391636
- Cited by
- 277
- References
- 34
- FWCI
- 30.57
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Global chromatin profiling reveals NSD2 mutations in pediatric acute lymphoblastic leukemia. https://app.cochat.ai/papers/10.1038/ng.2777
- The paper
- Jaffe, J. D., Wang, Y., Chan, H. M., Zhang, J., Huether, R., Kryukov, G. V., Bhang, H.-E. C., Taylor, J. E., Hu, M., Englund, N. P., Yan, F., Wang, Z., Robert McDonald, E., Wei, L., Ma, J., Easton, J., Yu, Z., deBeaumount, R., Gibaja, V., . . . Stegmeier, F. (2013). Global chromatin profiling reveals NSD2 mutations in pediatric acute lymphoblastic leukemia. Nature Genetics. https://doi.org/10.1038/ng.2777
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
