The DOI matches its Crossref record; 45 of the 46 references it cites were found in a registry or an index.
An oncogenic super-enhancer formed through somatic mutation of a noncoding intergenic element
Open accessAbstract
In certain human cancers, the expression of critical oncogenes is driven from large regulatory elements, called super-enhancers, that recruit much of the cell’s transcriptional apparatus and are defined by extensive acetylation of histone H3 lysine 27 (H3K27ac). In a subset of T-cell acute lymphoblastic leukemia (T-ALL) cases, we found that heterozygous somatic mutations are acquired that introduce binding motifs for the MYB transcription factor in a precise noncoding site, which creates a super-enhancer upstream of the TAL1 oncogene. MYB binds to this new site and recruits its H3K27 acetylase–binding partner CBP, as well as core components of a major leukemogenic transcriptional complex that contains RUNX1, GATA-3, and TAL1 itself. Additionally, most endogenous super-enhancers found in T-ALL cells are occupied by MYB and CBP, which suggests a general role for MYB in super-enhancer initiation. Thus, this study identifies a genetic mechanism responsible for the generation of oncogenic super-enhancers in malignant cells.
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
“The ability of AlphaGenome to simultaneously score variant effects across all modalities accurately recapitulates the mechanisms of clinically relevant variants near the TAL1 oncogene6.”
From Advancing regulatory variant effect prediction with AlphaGenome (2026) · cites this paper as [6]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Detailed ALT–REF predictions for an oncogenic insertion (chr. 1: 47239296: C>ACG) characterized in ref. 6. Shown are differences between AlphaGenome predictions between the ALT and REF sequences of the variant in CD34+ CMP tracks. The ALT sequence increases expression of the TAL1 gene 7.5 kb away.”
From Advancing regulatory variant effect prediction with AlphaGenome (2026) · cites this paper as [6]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“We evaluated three groups of gain-of-function mutations affecting the TAL1 gene in T cell acute lymphoblastic leukaemia (T-ALL): a cluster of 5′ neo-enhancer mutations upstream of the TAL1 TSS6,33, an intronic single-nucleotide variant (SNV)34 and a 3′ neo-enhancer35.”
From Advancing regulatory variant effect prediction with AlphaGenome (2026) · cites this paper as [6]
The cited source says what the claim attributes to it.
In the citing paper
“By contrast, the alternative sequence introduced a MYB motif at the variant position predicted to increase TAL1 expression, chromatin accessibility and H3K27ac chromatin marks (Fig. 6e), as discovered previously6.”
From Advancing regulatory variant effect prediction with AlphaGenome (2026) · cites this paper as [6]
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
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
Multiplex Genome Engineering Using CRISPR/Cas Systems
Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339
Genome engineering using the CRISPR-Cas9 system
Ran, F. A., Hsu, P. D., Wright, J., Agarwala, V., Scott, D. A., & Zhang, F. (2013) · Nature Protocols · doi:10.1038/nprot.2013.143 · Cited by 11,133
The Human Genome Browser at UCSC
Kent, W. J., Sugnet, C. W., Furey, T. S., Roskin, K. M., Pringle, T. H., Zahler, A. M., & Haussler, A. D. (2002) · Genome Research · doi:10.1101/gr.229102 · Cited by 10,400
DNA targeting specificity of RNA-guided Cas9 nucleases
Hsu, P. D., Scott, D. A., Weinstein, J. A., Ran, F. A., Konermann, S., Agarwala, V., Li, Y., Fine, E. J., Wu, X., Shalem, O., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2647 · Cited by 4,741
Histone H3K27ac separates active from poised enhancers and predicts developmental state
Creyghton, M. P., Cheng, A. W., Welstead, G. G., Kooistra, T., Carey, B. W., Steine, E. J., Hanna, J., Lodato, M. A., Frampton, G. M., Sharp, P. A., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016071107 · Cited by 4,302
Self-citationSelective inhibition of BET bromodomains
Filippakopoulos, P., Qi, J., Picaud, S., Shen, Y., Smith, W. B., Fedorov, O., Morse, E. M., Keates, T., Hickman, T. T., Felletar, I., et al. (2010) · Nature · doi:10.1038/nature09504 · Cited by 4,262
FIMO: scanning for occurrences of a given motif
Grant, C. E., Bailey, T. L., & Noble, W. S. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr064 · Cited by 4,247
Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes
Whyte, W. A., Orlando, D. A., Hnisz, D., Abraham, B. J., Lin, C. Y., Kagey, M. H., Rahl, P. B., Lee, T. I., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.03.035 · Cited by 4,143
Self-citation
Flagged first, then by citations
1 of the 46 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 601–700 of 805
Sethi, S., Vorontsov, I. E., Kulakovskiy, I. V., Greenaway, S., Williams, J. A., Makeev, V. J., Brown, S. D. M., Simon, M. M., & Mallon, A. (2020) · BMC Genomics · doi:10.1186/s12864-020-07109-5 · Cited by 4
Epigenetic Alterations in DCIS Progression: What Can lncRNAs Teach Us?
Petrone, I., dos Santos, E. C., Binato, R., & Abdelhay, E. S. F. W. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24108733 · Cited by 5
Developing Targeted Therapies for T Cell Acute Lymphoblastic Leukemia/Lymphoma
DuVall, A. S., Wesevich, A., & Larson, R. A. (2023) · Current Hematologic Malignancy Reports · doi:10.1007/s11899-023-00706-7 · Cited by 5
Efficient genome editing in erythroid cells unveils novel MYB target genes and regulatory functions
Deleuze, V., Garcia, L., Rouaisnel, B., Salma, M., Kinoo, A., Andrieu‐Soler, C., & Soler, É. (2023) · iScience · doi:10.1016/j.isci.2023.107641 · Cited by 4
Super-enhancers: Implications in gastric cancer
Huang, Y., Huo, Y., Huang, L., Zhang, L., Zheng, Y., Zhang, N., & Yang, M. W. O. (2024) · Mutation Research/Reviews in Mutation Research · doi:10.1016/j.mrrev.2024.108489 · Cited by 4
Integrative identification of the pathogenic role of a novel G6PD missense mutation c.697G>C
Zhang, H., Peng, D.-Y., Shu, Y., Zhu, D., Hu, W., Yu, C., Zhang, J., Liu, S., Wan, K.-X., Yuan, Z., et al. (2021) · Annals of Translational Medicine · doi:10.21037/atm-20-3941 · Cited by 4
Enhancer and superenhancer regulation and its disruption in cancer
Drier, Y. (2020) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2020.05.002 · Cited by 4
DriverPower: Combined burden and functional impact tests for cancer driver discoveryPreprint
Shuai, S.-M., Gallinger, S., & Stein, L. (2017) · bioRxiv · doi:10.1101/215244 · Cited by 6
Mapping the breakome reveals tight regulation on oncogenic super-enhancers
Oster, S. K., & Aqeilan, R. I. (2020) · Molecular & Cellular Oncology · doi:10.1080/23723556.2019.1698933 · Cited by 4
Nuclear receptor coregulator interactions: beyond the switchPreprint
Bawa, F. N. C., & Lazar, M. A. (2025) · Genes & Development · doi:10.1101/gad.353393.125 · Cited by 6
Cheng, C. C. Y., Cheung, M. F., Lee, A. Y., Wu, Q., Chow, S. H.-C., Ang, J. Y. J., Riquelme Medina, I., Lo, G., Wu, H., Yang, W., et al. (2025) · Communications Biology · doi:10.1038/s42003-025-09154-w · Cited by 3
Fan, S., Gao, Y., Dai, X., Ma, H., & Yang, Z. (2025) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2025.104826 · Cited by 3
Redistribution of super-enhancers promotes malignancy in human hepatocellular carcinoma
Huang, J., Xu, L., Chen, Y., Sun, M., Hu, Y., Pan, C., Jiang, L., Wang, M., Liu, J., Dong, H., et al. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.07.006 · Cited by 3
Enhancer regulation in cancer: from epigenetics to m6A RNA modification
Vasukutty, A., Bhattarai, P. Y., & Choi, H. S. (2025) · Archives of Pharmacal Research · doi:10.1007/s12272-025-01561-1 · Cited by 5
Lai, X., Li, C., Tang, X., Luo, X., Wu, F., Liang, Y., Huang, B., & Li, H. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1652398 · Cited by 4
Keshet, G., Barbaric, I., & Benvenisty, N. (2025) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2025.115743 · Cited by 4
Enhancer Trajectories in Lineage Commitment: Regulatory Logic of States and Cooperation
Oh, M., Jeong, S., Kang, K., & Kim, S.-K. (2026) · Biomolecules · doi:10.3390/biom16010087 · Cited by 5
Moyama, C., Fujita, M., Okamoto, H., Ii, H., & Nakata, S. (2023) · Cancer Genomics & Proteomics · doi:10.21873/cgp.20374 · Cited by 3
Zhang, M., Lang, X., Chen, X., & Lv, Y. (2023) · Molecular Biotechnology · doi:10.1007/s12033-023-00704-3 · Cited by 3
Ng, H.-L., Robinson, M. E., May, P. C., Innes, A. J., Hiemeyer, C., & Feldhahn, N. (2024) · British Journal of Haematology · doi:10.1111/bjh.19322 · Cited by 3
Residual Neural Network for Predicting Super-Enhancers on Genome Scale
Sabba, S., Smara, M., Benhacine, M., & Hameurlaine, A. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-030-96311-8_4 · Cited by 3
Super-enhancers in esophageal carcinoma: Transcriptional addictions and therapeutic strategies
Shi, Y., Wang, M., Liu, D., Ullah, S., Ma, X., Yang, H., & Liu, B.-R. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1036648 · Cited by 4
Yang, X., Zheng, W., Li, M., & Zhang, S. (2023) · Bioinformatics and Biology Insights · doi:10.1177/11779322231162767 · Cited by 3
Enhancer in cancer pathogenesis and treatment
Sun, Z., Fan, J., Dang, Y., & Zhao, Y. (2023) · Genetics and Molecular Biology · doi:10.1590/1678-4685-gmb-2022-0313 · Cited by 4
Almeida, A., T’Sas, S., Pagliaro, L., Fijałkowski, I., Sleeckx, W., Steenberge, H. V., Zamponi, R., Lintermans, B., Loocke, W. V., Palhais, B., et al. (2024) · HemaSphere · doi:10.1002/hem3.51 · Cited by 3
Bromodomains as Anticancer Targets
Filippakopoulos, P., & Knapp, S. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802208-5.00010-2 · Cited by 3
Deng, L., Zhang, C., Miao, D., Tang, X., Luo, S., Xin, H., & Shi, H. (2017) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2017.08.006 · Cited by 3
Immature acute leukaemias: lessons from the haematopoietic roadmap
Lefeivre, T., Jones, L., Trinquand, A., Pinton, A., Macintyre, E. A., Laurenti, E., & Bond, J. (2021) · FEBS Journal · doi:10.1111/febs.16030 · Cited by 3
Genome supranucleosomal organization and genetic susceptibility to diseases
Jablonski, K. P., Fretter, C., Carron, L., Forné, T., Hütt, M. ‐., & Lesne, A. (2017) · AIP conference proceedings · doi:10.1063/1.5001606 · Cited by 2
Acute megakaryoblastic leukemia with trisomy 3 and CBFA2T3 :: GLIS2 : A case report
Gillam, J., Catic, A., Paulraj, P., Dalton, J. B., Lai, G., Jackson‐Cook, C. K., Turner, S. A., Ferreira‐Gonzalez, A., & Barrie, E. S. (2022) · Genes Chromosomes and Cancer · doi:10.1002/gcc.23039 · Cited by 3
Aga, Y., Matsushita, T., Ogi, S., Onuma, K., Sunamoto, H., Ogawa, A., Kono, S., Iwase, N., Tokunaga, Y., Ushiyama, S., et al. (2020) · Hiroshima University Acedemic Information Repository (Hiroshima University) · doi:10.24811/hjms.69.1_23 · Cited by 3
Slaven, N., Lopes, R., Canale, E., Ivanoiu, D., Pacini, C., Barbosa, I. A. M., Bleu, M., Bravaccini, S., Ravaioli, S., Dieci, M. V., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.15.480537 · Cited by 3
Gene regulatory networks linked to GABA signalling emerge as relevant for glioblastoma pathogenesisPreprint
Nissen, I., Dakhel, S., Chakraborty, C., Nygaard, A. H., Kirkeby, A., Hörnblad, A., Erdem, C., & Remeseiro, S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.30.651564 · Cited by 3
Transcriptional regulatory program controlled by MYB in T-cell acute lymphoblastic leukemia
Shao, X., Yokomori, R., Ong, J. Z. L., Shen, H., Kappei, D., Chen, L., Yeoh, A. E. J., Tan, S. H., & Sanda, T. (2024) · Leukemia · doi:10.1038/s41375-024-02455-9 · Cited by 2
Self-citationBardelli, V., Arniani, S., Pierini, V., Nardelli, C., Matteucci, C., Fernandez, A. G. L., Crocioni, M., Cerrano, M., Salutari, P., Papayannidis, C., et al. (2025) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2025.01.006 · Cited by 2
Epigenetic modulation of CTCs as a novel therapeutic target in oncology
Farah, H. S., Abosaoda, M. K., Mousa, H. M., Jyothi, S. R., Nayak, P. P., Janney, J. B., Singh, G., & Chauhan, A. S. (2025) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-025-05402-z · Cited by 2
Cai, S., Wang, Z., Sun, X. S., & Huang, H. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf596 · Cited by 2
Arcuschin, C. D., Kahrizi, K., Sayaman, R. W., Benedetto, C. D., Salaberry, P. J., Pirker, R., Shen, Y., Zakraoui, O., Schwarzer, C., Scapozza, A., et al. (2025) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-025-05913-4 · Cited by 2
Peng, Y., Wang, Y., Liu, L., Liu, Y., Yu, Y., Sun, R., & Yu, Z. (2026) · Infectious Medicine · doi:10.1016/j.imj.2026.100254 · Cited by 2
Gene therapy for pathologic gene expression
Montefiori, L. E., & Nóbrega, M. A. (2019) · Science · doi:10.1126/science.aaw0635 · Cited by 2
Epigenetic regulation of normal hematopoiesis and its dysregulation in hematopoietic malignancies
Hartmann, M., Hakobyan, M., Langstein, J., Schönung, M., Stäble, S., Touzart, A., Wierzbińska, J. A., & Lipka, D. B. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817964-2.00013-7 · Cited by 3
The biological role of lncRNAs in the acute lymphocytic leukemia: An updated review
Almanghadim, H. G., Karimi, B., poursalehi, N., Sanavandi, M., pourfardin, S. A., & Ghaedi, K. (2023) · Gene · doi:10.1016/j.gene.2023.148074 · Cited by 4
3D epigenomics and 3D epigenopathies
Lee, K., Kim, J. W., & Kim, J. H. (2024) · BMB Reports · doi:10.5483/bmbrep.2023-0249 · Cited by 3
Polycomb protein RYBP facilitates super-enhancer activity
Hong, Y., Dai, R., Li, X., He, X., & Wei, C. (2024) · Molecular Medicine · doi:10.1186/s10020-024-01006-3 · Cited by 3
Neo‐enhancers in T‐cell acute lymphoblastic Leukaemia (T‐ ALL ) and beyond
Smith, C. L., Asnafi, V., & Touzart, A. (2025) · International Journal of Cancer · doi:10.1002/ijc.35315 · Cited by 2
Enhancer‐dependent gene regulation in space, time, and malignancies
Blum, B., Dachtler, V., & Feldmann, A. (2025) · International Journal of Cancer · doi:10.1002/ijc.35350 · Cited by 2
Towards methylation-based redefinition of TAL1 positive T-cell acute lymphoblastic leukaemia (T-ALL)
Smith, C. L., Charbonnier, G., Simonin, M., Balducci, E., Steimlé, T., Andrieu, G. P., Cieślak, A., Courgeon, M., Lorc’h, M. L., Mayakonda, A., et al. (2025) · Leukemia · doi:10.1038/s41375-025-02714-3 · Cited by 2
Decoding the Noncoding Cancer Genome
van Galen, P. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-0285 · Cited by 2
Epigenetics, Enhancers, and Cancer
Morrow, J. J., & Scacheri, P. C. (2016) · Energy balance and cancer · doi:10.1007/978-3-319-41610-6_2 · Cited by 2
Genetic Alterations of Pediatric Acute Lymphoblastic Leukemia
Imamura, T. (2019) · Springer eBooks · doi:10.1007/978-981-15-0548-5_2 · Cited by 2
TRIP through the chromatin: A high throughput exploration of enhancer regulatory landscapes
Pindyurin, A. V., de Jong, J., & Akhtar, W. (2015) · Genomics · doi:10.1016/j.ygeno.2015.06.009 · Cited by 3
Properties, functions, and therapeutic prospects of enhancer RNAs
Кашкин, К. Н., & Sverdlov, E. D. (2016) · Russian Journal of Bioorganic Chemistry · doi:10.1134/s1068162016050083 · Cited by 2
Ri, K. C., Kim, C., Choe, S. I., So, J. H., & Se Hyok, O. (2019) · Beni-Suef University Journal of Basic and Applied Sciences · doi:10.1186/s43088-019-0001-4 · Cited by 2
cis ‐Regulatory Driver Mutations in Cancer Genomes
Poulos, R. C., & Wong, J. W. H. (2017) · Encyclopedia of Life Sciences · doi:10.1002/9780470015902.a0027236 · Cited by 2
Discovery and Functional Characterization of Pro-growth Enhancers in Human Cancer CellsPreprint
Chen, P.-S. B., Fiaux, P. C., Li, B., Zhang, K., Kubo, N., Jiang, S., Hu, R., Wu, S.-H., Wang, M.-C., Wang, W., et al. (2021) · bioRxiv · doi:10.1101/2021.02.04.429675 · Cited by 3
Edrei, Y., Levy, R., Marom, A., Radlwimmer, B., & Hellman, A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.02.433521 · Cited by 2
A mathematical model clarifies the ABC Score formula used in enhancer-gene predictionPreprint
Nasser, J., Nam, K.-M., & Gunawardena, J. (2025) · eLife · doi:10.7554/elife.105740.1 · Cited by 3
Нефедова, Л. Н., & Krasnova, T. N. (2025) · Biochemistry (Moscow) · doi:10.1134/s0006297925600383 · Cited by 1
Qiu, K., Yin, Q., Zang, C., & Tao, J. (2025) · Cancers · doi:10.3390/cancers17193148 · Cited by 1
Crosstalk Between Cis-Regulatory Elements and Metabolism Reprogramming in Hepatocellular Carcinoma
Ren, Y., Tang, D., Ding, X., & He, M. (2026) · Cancers · doi:10.3390/cancers18061002 · Cited by 1
Lau, I., Bloye, G., Smith, A., Harman, J. R., Hamley, J. C., Sharlandjieva, V., Denny, N., Chahrour, C., Li, H., Jackson, N., et al. (2026) · Blood · doi:10.1182/blood.2025030424 · Cited by 1
Genomic Insights into the Biology of T-lineage Acute Lymphoblastic Leukemia
Pölönen, P., Teachey, D. T., & Mullighan, C. G. (2026) · Blood Cancer Discovery · doi:10.1158/2643-3230.bcd-25-0206 · Cited by 1
Cellular plasticity of cancer: roles of biomolecular condensates and ecDNA
Sugimoto, Y., Zhang, Y., Kachi, T., Ogami, K., & Suzuki, H. I. (2026) · Japanese Journal of Clinical Oncology · doi:10.1093/jjco/hyag065 · Cited by 1
Montanaro, A., Monica, G., Zamponi, R., D’Antuono, A., Andreani, A., Andrei, P., Su, A., Ciringione, A., Sammarelli, G., Todaro, G., et al. (2026) · Blood · doi:10.1182/blood.2025029901 · Cited by 1
Wen, L., Su, C.-H., Potemkin, N., Dryburgh, L., Qin, L., Li, S. F., Moreira, M. L., Haque, A., Sun, X., Cinella, V., et al. (2026) · Immunity · doi:10.1016/j.immuni.2026.06.001 · Cited by 2
“PEAR-ing” Genomic and Epigenomic Analyses for Cancer Gene Discovery
Mack, S. C., Rich, J. N., & Scacheri, P. C. (2015) · Cancer Discovery · doi:10.1158/2159-8290.cd-15-0985 · Cited by 1
[Role of Liquid-Liquid Phase Separation in Cell Fate Transition and Diseases].
Chen, Y., Ling, X., Yu, H., & Ding, J. (2023) · PubMed Central · doi:10.12182/20230960302 · Cited by 1
Nonspecific Interactions in Transcription Regulation and Organization of Transcriptional Condensates
Valyaeva, A. A., & Sheval, E. V. (2024) · Biochemistry (Moscow) · doi:10.1134/s0006297924040084 · Cited by 1
Chromosomal Translocations and Gene Rearrangements in Acute Lymphoblastic Leukaemia
Mansour, M. R., & Look, A. T. (2015) · Springer eBooks · doi:10.1007/978-3-319-19983-2_10 · Cited by 1
Self-citationDeregulation of the non-coding genome in leukemia
Teppo, S., Heinäniemi, M., & Lohi, O. (2017) · RNA Biology · doi:10.1080/15476286.2017.1312228 · Cited by 1
Dysregulation of Cis-Regulatory Elements in Cancer
Barbour, J. A., & Wong, J. W. H. (2019) · Springer eBooks · doi:10.1007/978-981-13-8958-0_8 · Cited by 1
Ri, K., Ri, M. R., Song, Y., Kim, K., & Kim, C. (2020) · Current Biotechnology · doi:10.2174/2211550109999200802154246 · Cited by 1
Deletions in BCP-ALL result in a TAD more FLT3
Spencer, D. H. (2020) · Blood · doi:10.1182/blood.2020006607 · Cited by 1
Barcelona conference on epigenetics and cancer 2016 – beyond cancer genomes
Dumbović, G., Biayna, J., Font, B., Buschbeck, M., & Forcales, S. V. (2017) · Epigenetics · doi:10.1080/15592294.2017.1281503 · Cited by 1
Shrestha, S., Sewell, J. A., Santoso, C., Forchielli, E., Pro, S. C., Martinez, M., & Bass, J. I. F. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/459305 · Cited by 1
Sen, A., Tyndale, S. T., Fu, Y., Erikson, G. A., & McVicker, G. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/605642 · Cited by 1
Enhancer-dependence of gene expression increases with developmental agePreprint
Cai, W., Huang, J., Zhu, Q., Li, B. E., Seruggia, D., Zhou, P., Nguyen, M., Fujiwara, Y., Xie, H., Yang, Z., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/678334 · Cited by 1
Interrogation of Enhancer Function by Enhanced CRISPR Epigenetic EditingPreprint
Li, K., Liu, Y., Cao, H., Zhang, Y., Gu, Z., Liu, X., Yu, A., Kaphle, P., Dickerson, K. E., Ni, M., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/761247 · Cited by 1
Correia, L., Xavier, J. M., Magno, R., de Almeida, B. P., Esteves, F., Duarte, I., Eldridge, M., Sun, C., Bosma, A., Mittempergher, L., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.05.434137 · Cited by 1
Geng, K., Merino, L. G., Wedemann, L., Martens, A., Sobota, M., Sanchez, Y. P., Søndergaard, J. N., White, R. J., & Kutter, C. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.01.450727 · Cited by 1
Secanechia, Y. N. S., Bergiers, I., Rogon, Z., Arnold, C., Descostes, N., Le, S., López-Anguita, N., Ganter, K., Kapsali, C., Bouilleau, L., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.03.462906 · Cited by 1
Deeply conserved super-enhancers maintain stem cell pluripotency in placental mammalsPreprint
Zhang, J., Zhou, Y., Yue, W., Zhu, Z., Wu, X., Yu, S., Shen, Q., Pan, Q., Xu, W., Zhang, R., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.03.490430 · Cited by 1
Magnani, L. (2022) · Research Square · doi:10.21203/rs.3.rs-1432636/v1 · Cited by 1
Prutsch, N., He, S., Berezovskaya, A., Durbin, A. D., Dharia, N. V., Stegmaier, K., Matthews, J. D., Hare, L., Turner, S. D., Kenner, L., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.31.506044 · Cited by 1
Self-citationNameki, R. A., Chang, H. S. Y., Yu, P. H., Abbasi, F., Lin, X., Reddy, J., Haro, M., Fonseca, M. A., Freedman, M. L., Drapkin, R., et al. (2023) · eLife · doi:10.7554/elife.86360.1 · Cited by 1
Choppavarapu, L., Nosirov, B., Kahn, M., & Jin, V. X. (2026) · Cancers · doi:10.3390/cancers18213416
Maretty, L., Sibbesen, J. A., & Krogh, A. (2014)
The long range regulation of breast cancer associated genes
Betts, J. A. (2016) · The University of Queensland · doi:10.14264/uql.2016.158
Molecular Origin of Childhood Acute Lymphoblastic Leukemia
Waanders, E., Jongmans, M. C. J., & Mullighan, C. G. (2016) · Springer eBooks · doi:10.1007/978-3-319-05798-9_7
ChIP-seq Analysis of Human Chronic Myeloid Leukemia Cells
Anders, L., & Li, Z. (2016) · Methods in molecular biology · doi:10.1007/978-1-4939-4011-0_11
Self-citationGriffith, A. (2016) · uO Research (University of Ottawa) · doi:10.20381/ruor-849
Derailed regulatory network in childhood acute leukaemia
Lohi, O., & Heinäniemi, M. (2017) · Acta Paediatrica · doi:10.1111/apa.13714
Elucidation of Mechanisms of Fetal Hemoglobin Regulation by CRISPR/Cas9 Mediated Genome Editing
Canver, M. C. (2016) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Epigenetic Dysregulation in Pediatric Leukemia
Madhusoodhan, P. P., Carroll, W. L., & Bhatla, T. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809552-2.00001-2
CRISPRing the Human Genome for Functional Regulatory Elements
Lopes, R. (2018) · RePub (Erasmus University Rotterdam)
Poulos, R. C., Perera, D., Packham, D., Shah, A., Janitz, C., Pimanda, J. E., Hawkins, N. J., Ward, R. L., Hesson, L. B., & Wong, J. W. H. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/249300
Integrated Genomic and Epigenomic Analyses of Atypical Teratoid Rhabdoid Tumour
Torchia, J. (2016) · TSpace (University of Toronto)
Dynamics of Super-Enhancers Throughout Myogenesis
Abdelkarim, B. (2020) · uO Research (University of Ottawa) · doi:10.20381/ruor-24271
Takao, S., Forbes, L., Uni, M., Cheng, S., Pineda, J. M. B., Tarumoto, Y., Cifani, P., Minuesa, G., Chen, C., Kharas, M. G., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.05.077156
Pathogenesis of pediatric cancers discovered by multi-omics–based approach
Takita, J. (2020) · Tenri Medical Bulletin · doi:10.12936/tenrikiyo.23-001
Metadata
- Authors
- Mansour, M. R., Abraham, B. J., Anders, L., Berezovskaya, A., Gutierrez, A., Durbin, A. D., Etchin, J., Lawton, L., Sallan, S. E., Silverman, L. B., Loh, M. L., Hunger, S. P., Sanda, T., Young, R. A., & Look, A. T.
- Affiliations
- Harvard University (US)
- Whitehead Institute for Biomedical Research (US)
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA.
- Boston Children's Hospital (US)
- University of California, San Francisco (US)
- Children's Hospital Colorado (US)
- National University of Singapore (SG)
- Corresponding author
- Abraham, Brian J.
- Anders, Lars
- Young, Richard A.
- Look, A. Thomas
- ORCID
- Venue
- Science
- Published
- 2014-12-12
- Volume
- 346
- Issue
- 6215
- Pages
- 1373-1377
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC4720521
- OpenAlex
- W2082414039
- Cited by
- 801
- References
- 46
- Citations by year
- 2026: 32 · 2025: 49 · 2024: 61 · 2023: 77 · 2022: 84 · 2021: 85 · 2020: 80 · 2019: 62 · 2018: 65 · 2017: 77 · 2016: 76 · 2015: 49 · 2014: 4
- FWCI
- 28.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- UCL Discovery (University College London) (submittedVersion)
- PMC
- Funders
- National Human Genome Research Institute (R01HG002668)
- National Cancer Institute (R21CA167124, CA114766, CA30969, R01CA176746, CA‐98413, U10CA098413, U24CA114766, U10CA030969, P01CA068484, CA 29139, R01CA120215, 5P01CA68484, U10CA029139, U10CA098543, P01CA109901, CA167124, CA120215, CA-98543, P30CA014051)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Health Sciences › Medicine › Hematology › Acute Lymphoblastic Leukemia research
- Keywords
- super-enhancers, T-cell acute lymphoblastic leukemia, MYB transcription factors, somatic mutations, H3K27 acetylation, CBP, RUNX1, GATA3, transcriptional regulation, oncogene expression
- MeSH terms
- T-Cell Acute Lymphocytic Leukemia Protein 1, Acetylation, Base Sequence, Binding Sites, Enhancer Elements, Genetic, Histones, Humans, Molecular Sequence Data, Mutation, Oncogenes, Proto-Oncogene Proteins, Gene Expression Regulation, Neoplastic, Proto-Oncogene Proteins c-myb, DNA, Intergenic, Cell Line, Tumor, Basic Helix-Loop-Helix Proteins, Basic Helix-Loop-Helix Transcription Factors, Precursor T-Cell Lymphoblastic Leukemia-Lymphoma, INDEL Mutation, Protein Interaction Domains and Motifs
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
