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
Cited by
Sorted by citations
Items 101–200 of 805
A multi-omic single-cell landscape of human gynecologic malignancies
Regner, M. J., Wiśniewska, K., García‐Recio, S., Thennavan, A., Méndez-Giráldez, R., Malladi, V. S., Hawkins, G. M., Parker, J. S., Perou, C. M., Bae-Jump, V. L., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.10.013 · Cited by 144
Defining super-enhancer landscape in triple-negative breast cancer by multiomic profiling
Huang, H., Hu, J., Maryam, A., Huang, Q., Zhang, Y., Ramakrishnan, S., Li, J., Ma, H., Victor, W., Cheuk, W., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22445-0 · Cited by 139
SCL/TAL1: a multifaceted regulator from blood development to disease
Porcher, C., Chagraoui, H., & Kristiansen, M. S. (2017) · Blood · doi:10.1182/blood-2016-12-754051 · Cited by 135
Pediatric T‐cell acute lymphoblastic leukemia
Karrman, K., & Johansson, B. (2016) · Genes Chromosomes and Cancer · doi:10.1002/gcc.22416 · Cited by 136
A practical view of fine-mapping and gene prioritization in the post-genome-wide association era
Broekema, R., Bakker, O. B., & Jonkers, I. H. (2020) · Open Biology · doi:10.1098/rsob.190221 · Cited by 141
Mack, S. C., Singh, I., Wang, X., Hirsch, R. A., Wu, Q., Villagomez, R., Bernatchez, J. A., Zhu, Z., Gimple, R. C., Kim, L. J. Y., et al. (2019) · The Journal of Experimental Medicine · doi:10.1084/jem.20190196 · Cited by 131
Insertions and Deletions Target Lineage-Defining Genes in Human Cancers
Imielinski, M. B., Guo, G., & Meyerson, M. M. (2017) · Cell · doi:10.1016/j.cell.2016.12.025 · Cited by 131
Non-coding driver mutations in human cancer
Elliott, K., & Larsson, E. (2021) · Nature reviews. Cancer · doi:10.1038/s41568-021-00371-z · Cited by 137
Charlet, J., Duymich, C. E., Lay, F. D., Mundbjerg, K., Dalsgaard Sørensen, K., Liang, G., & Jones, P. A. (2016) · Molecular Cell · doi:10.1016/j.molcel.2016.03.033 · Cited by 128
Zhang, X., Choi, P. S., Francis, J. M., Gao, G. F., Campbell, J. D., Ramachandran, A., Mitsuishi, Y., Ha, G., Shih, J., Vázquez, F., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-0532 · Cited by 126
Gene signature driving invasive mucinous adenocarcinoma of the lung
Guo, M., Tomoshige, K., Meister, M. A., Muley, T., Fukazawa, T., Tsuchiya, T., Karns, R. A., Warth, A., Fink-Baldauf, I. M., Nagayasu, T., et al. (2017) · EMBO Molecular Medicine · doi:10.15252/emmm.201606711 · Cited by 124
Tissue-specific transcription reprogramming promotes liver metastasis of colorectal cancer
Teng, S., Li, Y. E., Yang, M., Qi, R., Huang, Y., Wang, Q., Zhang, Y., Chen, S., Li, S., Lin, K., et al. (2019) · Cell Research · doi:10.1038/s41422-019-0259-z · Cited by 131
Hotspots of aberrant enhancer activity punctuate the colorectal cancer epigenome
Cohen, A. J., Saiakhova, A., Corradin, O., Luppino, J. M., Lovrenert, K., Bartels, C. F., Morrow, J. J., Mack, S. C., Dhillon, G. K., Beard, L., et al. (2017) · Nature Communications · doi:10.1038/ncomms14400 · Cited by 118
Cancer-specific CTCF binding facilitates oncogenic transcriptional dysregulation
Fang, C., Wang, Z., Han, C., Safgren, S. L., Helmin, K. A., Adelman, E. R., Serafin, V., Basso, G., Eagen, K. P., Gaspar‐Maia, A., et al. (2020) · Genome biology · doi:10.1186/s13059-020-02152-7 · Cited by 120
Directly targeting transcriptional dysregulation in cancer
Gonda, T. J., & Ramsay, R. G. (2015) · Nature reviews. Cancer · doi:10.1038/nrc4018 · Cited by 121
Transcriptional Regulation by (Super)Enhancers: From Discovery to Mechanisms
Grosveld, F., van Staalduinen, J., & Stadhouders, R. (2021) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-122220-093818 · Cited by 115
Epigenetic regulation in cancer
Gu, M., Ren, B., Fang, Y., Ren, J., Liu, X., Wang, X., Zhou, F., Xiao, R., Luo, X., You, L., et al. (2024) · MedComm · doi:10.1002/mco2.495 · Cited by 126
Enhanced Identification of Transcriptional Enhancers Provides Mechanistic Insights into Diseases
Murakawa, Y., Yoshihara, M., Kawaji, H., Nishikawa, M., Zayed, H., Suzuki, H., & Hayashizaki, Y. (2016) · Trends in Genetics · doi:10.1016/j.tig.2015.11.004 · Cited by 112
Super-enhancers: critical roles and therapeutic targets in hematologic malignancies
Jia, Y., Chng, W. J., & Zhou, J. (2019) · Journal of Hematology & Oncology · doi:10.1186/s13045-019-0757-y · Cited by 120
Enhancer deregulation in cancer and other diseases
Herz, H. (2016) · BioEssays · doi:10.1002/bies.201600106 · Cited by 110
Jia, C., & He, W. (2016) · Scientific Reports · doi:10.1038/srep38741 · Cited by 110
Enhancer RNAs in cancer: regulation, mechanisms and therapeutic potential
Lee, J., Xiong, F., & Li, W. (2020) · RNA Biology · doi:10.1080/15476286.2020.1712895 · Cited by 108
The translational challenges of precision oncology
Pich, O., Bailey, C., Watkins, T. B. K., Zaccaria, S., Jamal‐Hanjani, M., & Swanton, C. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.04.002 · Cited by 116
Novel biological insights in T-cell acute lymphoblastic leukemia
Durinck, K., Goossens, S., Peirs, S., Wallaert, A., Loocke, W. V., Matthijssens, F., Pieters, T., Milani, G., Lammens, T., Rondou, P., et al. (2015) · Experimental Hematology · doi:10.1016/j.exphem.2015.05.017 · Cited by 111
Egervári, G., Landry, J. A., Callens, J. E., Fullard, J. F., Roussos, P., Keller, É., & Hurd, Y. L. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.09.015 · Cited by 108
Spatially clustered loci with multiple enhancers are frequent targets of HIV-1 integration
Lucic, B., Chen, H., Kuzman, M., Zorita, E. V., Wegner, J., Minneker, V., Wang, W., Fronza, R., Laufs, S., Schmidt, M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12046-3 · Cited by 111
Accelerating the understanding of cancer biology through the lens of genomics
Wang, D., Liu, B., & Zhang, Z. (2023) · Cell · doi:10.1016/j.cell.2023.02.015 · Cited by 116
Cancer whole-genome sequencing: present and future
Nakagawa, H., Wardell, C. P., Furuta, M., Taniguchi, H., & Fujimoto, A. (2015) · Oncogene · doi:10.1038/onc.2015.90 · Cited by 111
Single-Cell Transcriptional Analysis
Wu, A. R., Wang, J., Streets, A., & Huang, Y. (2017) · Annual Review of Analytical Chemistry · doi:10.1146/annurev-anchem-061516-045228 · Cited by 107
Super-Enhancers Promote Transcriptional Dysregulation in Nasopharyngeal Carcinoma
Jiang, Y. Y., Jiang, Y.-Y., Mayakonda, A., Huang, M., Ding, L., Han, L., Yu, F., Lu, Y., Loh, T. K. S., Chow, M., et al. (2017) · Cancer Research · doi:10.1158/0008-5472.can-17-1143 · Cited by 105
An epigenetic gateway to brain tumor cell identity
Mack, S. C., Hubert, C. G., Miller, T. E., Taylor, M. D., & Rich, J. N. (2015) · Nature Neuroscience · doi:10.1038/nn.4190 · Cited by 106
Dias, S., D’Amico, A., Cretney, E., Liao, Y., Tellier, J., Bruggeman, C. W., Almeida, F. F., Leahy, J., Belz, G. T., Smyth, G. K., et al. (2017) · Immunity · doi:10.1016/j.immuni.2016.12.017 · Cited by 109
Peeters, J. G. C., Vervoort, S. J., Tan, S., Mijnheer, G., de Roock, S., Vastert, S. J., Nieuwenhuis, E. E. S., van Wijk, F., Prakken, B. J., Creyghton, M. P., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.08.046 · Cited by 100
Wei, Y., Zhang, S., Shang, S., Zhang, B., Li, S., Wang, X., Wang, F., Su, J., Wu, Q., Liu, H., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1243 · Cited by 104
Li, J., Prins, D., Park, H. J., Grinfeld, J., Arias, C. G., Loughran, S. J., Dovey, O. M., Klampfl, T., Bennett, C., Hamilton, T. L., et al. (2017) · Blood · doi:10.1182/blood-2017-09-806356 · Cited by 103
Enabling functional genomics with genome engineeringPreprint
Hilton, I. B., & Gersbach, C. A. (2015) · Genome Research · doi:10.1101/gr.190124.115 · Cited by 106
PEDLA: predicting enhancers with a deep learning-based algorithmic framework
Liu, F., Li, H., Ren, C., Bo, X., & Shu, W. (2016) · Scientific Reports · doi:10.1038/srep28517 · Cited by 101
Zhu, H., Uusküla-Reimand, L., Isaev, K., Wadi, L., Alizada, A., Shuai, S., Huang, V., Aduluso-Nwaobasi, D., Paczkowska, M., Abd-Rabbo, D., et al. (2020) · Molecular Cell · doi:10.1016/j.molcel.2019.12.027 · Cited by 100
Structural variants drive context-dependent oncogene activation in cancer
Xu, Z., Lee, D.-S., Chandran, S., Le, V. T., Bump, R., Yasis, J., Dallarda, S., Marcotte, S., Clock, B., Haghani, N. K., et al. (2022) · Nature · doi:10.1038/s41586-022-05504-4 · Cited by 98
Achour, M., Gras, S. L., Keime, C., Parmentier, F., Lejeune, F., Boutillier, A., Néri, C., Davidson, I., & Mérienne, K. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv099 · Cited by 99
Archaic adaptive introgression in TBX15/WARS2
Racimo, F., Gokhman, D., Fumagalli, M., Ko, A., Hansen, T., Moltke, I., Albrechtsen, A., Carmel, L., Huerta-Sánchez, E., & Nielsen, R. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw283 · Cited by 101
Targeting Super-Enhancers for Disease Treatment and Diagnosis.
Shin, H. Y. (2018) · Europe PMC (PubMed Central) · doi:10.14348/molcells.2018.2297 · Cited by 101
Biologic and Therapeutic Implications of Genomic Alterations in Acute Lymphoblastic Leukemia
Iacobucci, I., Kimura, S., & Mullighan, C. G. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10173792 · Cited by 106
ASCL1 is a MYCN- and LMO1-dependent member of the adrenergic neuroblastoma core regulatory circuitry
Wang, L., Tan, T. K., Durbin, A. D., Zimmerman, M. W., Abraham, B. J., Tan, S. H., Ngoc, P. C. T., Weichert‐Leahey, N., Akahane, K., Lawton, L. N., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13515-5 · Cited by 99
Self-citationOkabe, A., Huang, K., Matsusaka, K., Masaki, F., Xing, M., Ong, X., Hoshii, T., Usui, G., Seki, M., Mano, Y., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0665-7 · Cited by 88
T-Cell Acute Lymphoblastic Leukemia: Biomarkers and Their Clinical Usefulness
Bardelli, V., Arniani, S., Pierini, V., Giacomo, D. D., Pierini, T., Gorello, P., Mecucci, C., & Starza, R. L. (2021) · Genes · doi:10.3390/genes12081118 · Cited by 95
Emerging concepts of epigenetic dysregulation in hematological malignancies
Ntziachristos, P., Abdel-Wahab, O. I., & Aifantis, I. (2016) · Nature Immunology · doi:10.1038/ni.3517 · Cited by 99
Small genomic insertions form enhancers that misregulate oncogenes
Abraham, B. J., Hnisz, D., Weintraub, A. S., Kwiatkowski, N. P., Li, C. H., Li, Z., Weichert‐Leahey, N., Rahman, S., Liu, Y., Etchin, J., et al. (2017) · Nature Communications · doi:10.1038/ncomms14385 · Cited by 96
Self-citationChen, L., Huang, M., Plummer, J., Pan, J., Jiang, Y. Y., Yang, Q., Silva, T. C., Gull, N., Chen, S., Ding, L., et al. (2019) · Gut · doi:10.1136/gutjnl-2019-318325 · Cited by 93
INO80 governs superenhancer-mediated oncogenic transcription and tumor growth in melanomaPreprint
Zhou, B., Wang, L., Zhang, S., Bennett, B. D., He, F., Zhang, Y., Xiong, C., Han, L., Diao, L., Li, P., et al. (2016) · Genes & Development · doi:10.1101/gad.277178.115 · Cited by 92
Emergence of the Noncoding Cancer Genome: A Target of Genetic and Epigenetic Alterations
Zhou, S., Treloar, A. E., & Lupien, M. (2016) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-0745 · Cited by 89
Epigenetic regulators in cancer therapy and progression
Marei, H. E. S. (2025) · npj Precision Oncology · doi:10.1038/s41698-025-01003-7 · Cited by 116
Human PGBD5 DNA transposase promotes site-specific oncogenic mutations in rhabdoid tumors
Henssen, A. G., Koche, R. P., Zhuang, J., Jiang, E., Reed, C., Eisenberg, A., Still, E., MacArthur, I. C., Rodríguez-Fos, E., González, S., et al. (2017) · Nature Genetics · doi:10.1038/ng.3866 · Cited by 89
Oncogenic super-enhancer formation in tumorigenesis and its molecular mechanisms
Jia, Q., Chen, S., Tan, Y., Li, Y., & Tang, F. (2020) · Experimental & Molecular Medicine · doi:10.1038/s12276-020-0428-7 · Cited by 92
Liang, J., Zhou, H., Gerdt, C., Tan, M., Colson, T., Kaye, K. M., Kieff, E., & Zhao, B. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1616697113 · Cited by 88
DiseaseEnhancer: a resource of human disease-associated enhancer catalog
Zhang, G., Shi, J., Zhu, S., Lan, Y., Xu, L., Yuan, H., Liao, G., Liu, X., Zhang, Y., Xiao, Y., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx920 · Cited by 88
Illuminating the noncoding genome in cancer
Zhang, X., & Meyerson, M. M. (2020) · Nature Cancer · doi:10.1038/s43018-020-00114-3 · Cited by 86
The emerging role of super enhancer-derived noncoding RNAs in human cancer
Wang, Y., Nie, H., He, X., Liao, Z., Zhou, Y., Zhou, J., & Ou, C. (2020) · Theranostics · doi:10.7150/thno.49168 · Cited by 85
Sengupta, D., Kannan, A., Kern, M., Moreno, M. A., Vural, E. A., Stack, B. C., Suen, J. Y., Tackett, A. J., & Gao, L. (2015) · Epigenetics · doi:10.1080/15592294.2015.1034416 · Cited by 87
Phase Separation of Epstein-Barr Virus EBNA2 and Its Coactivator EBNALP Controls Gene Expression
Qiu, P., Wang, L., Qin, Z., Wang, J., Zheng, X., Wei, L., Zhang, X., Zhang, X., Liu, C., Li, Z., et al. (2020) · Journal of Virology · doi:10.1128/jvi.01771-19 · Cited by 84
Rahman, S., Magnussen, M., León, T. E., Farah, N., Li, Z., Abraham, B. J., Alapi, K. Z., Mitchell, R. J., Naughton, T., Fielding, A. K., et al. (2017) · Blood · doi:10.1182/blood-2016-09-742148 · Cited by 86
Self-citationDemaree, B., Delley, C. L., Vasudevan, H. N., Peretz, C. A. C., Ruff, D., Smith, C. C., & Abate, A. R. (2021) · Nature Communications · doi:10.1038/s41467-021-21810-3 · Cited by 91
Predicting master transcription factors from pan-cancer expression data
Reddy, J., Fonseca, M. A., Corona, R. I., Nameki, R. A., Dezem, F. S., Klein, I. A., Chang, H. S. Y., Chaves‐Moreira, D., Afeyan, L. K., Malta, T. M., et al. (2021) · Science Advances · doi:10.1126/sciadv.abf6123 · Cited by 82
Self-citationCurrent challenges in understanding the role of enhancers in disease
Zaugg, J. B., Sahlén, P., Andersson, R., Alberich-Jordà, M., de Laat, W. L., Deplancke, B., Ferrer, J. P., Mandrup, S., Natoli, G., Plewczyński, D., et al. (2022) · Nature Structural & Molecular Biology · doi:10.1038/s41594-022-00896-3 · Cited by 86
Biomolecular Condensates and Gene Activation in Development and Disease
Sabari, B. R. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.09.005 · Cited by 87
Functional Enhancers As Master Regulators of Tissue-Specific Gene Regulation and Cancer Development
Ko, J. Y., Oh, S., & Yoo, K. H. (2017) · Molecules and Cells · doi:10.14348/molcells.2017.0033 · Cited by 83
Chromatin dependencies in cancer and inflammation
Marazzi, I., Greenbaum, B. D., Low, D. H. P., & Guccione, E. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.113 · Cited by 80
MYB – A regulatory factor in hematopoiesis
Wang, X., Angelis, N., & Thein, S. L. (2018) · Gene · doi:10.1016/j.gene.2018.04.065 · Cited by 80
Core transcriptional regulatory circuitries in cancer
Chen, Y., Xu, L., Lin, R. Y., Müschen, M., & Koeffler, H. P. (2020) · Oncogene · doi:10.1038/s41388-020-01459-w · Cited by 80
The chromatin landscape at the HIV-1 provirus integration site determines viral expression
Vansant, G., Chen, H., Zorita, E. V., Trejbalová, K., Miklík, D., Filion, G. J. P., & Debyser, Z. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa536 · Cited by 79
Frequent Derepression of the Mesenchymal Transcription Factor Gene FOXC1 in Acute Myeloid Leukemia
Somerville, T. D. D., Wiseman, D. H., Spencer, G. J., Huang, X., Lynch, J. T., Leong, H. S., Williams, E. L., Cheesman, E., & Somervaille, T. C. P. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.07.017 · Cited by 79
Single-cell transcriptional analysis of normal, aberrant, and malignant hematopoiesis in zebrafish
Moore, F. E., Garcia, E. G., Lobbardi, R., Jain, E., Tang, Q., Moore, J. C., Cortes, M., Molodtsov, A. K., Kasheta, M., Luo, C. C., et al. (2016) · The Journal of Experimental Medicine · doi:10.1084/jem.20152013 · Cited by 78
Mammalian Transcription Factor Networks: Recent Advances in Interrogating Biological Complexity
Wilkinson, A. C., Nakauchi, H., & Göttgens, B. (2017) · Cell Systems · doi:10.1016/j.cels.2017.07.004 · Cited by 76
Wiskott–Aldrich syndrome protein (WASP) is a tumor suppressor in T cell lymphoma
Menotti, M., Ambrogio, C., Cheong, T.-C., Pighi, C., Mota, I. A., Cassel, S. H., Compagno, M., Wang, Q., Dall’Olio, R., Minero, V. G., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0262-9 · Cited by 75
Lu, J., Qian, J., Xu, Z., Yin, S., Zhou, L., Zheng, S., & Zhang, W. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.631486 · Cited by 77
Li, Q., Sapkota, M., & van der Knaap, E. (2020) · Horticulture Research · doi:10.1038/s41438-020-0258-8 · Cited by 73
Hornshøj, H., Nielsen, M. M., Sinnott-Armstrong, N., Świtnicki, M., Juul, M., Madsen, T. L., Sallari, R. C., Kellis, M., Orntoft, T. F., Hobolth, A., et al. (2018) · npj Genomic Medicine · doi:10.1038/s41525-017-0040-5 · Cited by 79
Seruggia, D., Fernández, A., Cantero, M., Pelczar, P., & Montoliu, L. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv375 · Cited by 76
Tan, S. H., Leong, W. Z., Ngoc, P. C. T., Tan, T. K., Bertulfo, F. C., Lim, M. C., An, Ö., Li, Z., Yeoh, A. E. J., Fullwood, M. J., et al. (2019) · Blood · doi:10.1182/blood.2018874503 · Cited by 73
Self-citationSuper Enhancers in Cancers, Complex Disease, and Developmental Disorders
Niederriter, A. R., Varshney, A., Parker, S. C. J., & Martin, D. M. (2015) · Genes · doi:10.3390/genes6041183 · Cited by 75
APOBEC signature mutation generates an oncogenic enhancer that drives LMO1 expression in T-ALL
Li, Z., Abraham, B. J., Berezovskaya, A., Farah, N., Liu, Y., León, T. E., Fielding, A. K., Tan, S. H., Sanda, T., Weintraub, A. S., et al. (2017) · Leukemia · doi:10.1038/leu.2017.75 · Cited by 73
Self-citationPromoter capture Hi-C-based identification of recurrent noncoding mutations in colorectal cancer
Orlando, G., Law, P., Cornish, A. J., Dobbins, S. E., Chubb, D., Broderick, P., Litchfield, K., Hariri, F., Pastinen, T., Osborne, C. S., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0211-z · Cited by 74
The contributions of cancer cell metabolism to metastasis
Pascual, G., Domínguez, D., & Benitah, S. A. (2018) · Disease Models & Mechanisms · doi:10.1242/dmm.032920 · Cited by 74
Ying, Y., Wang, Y., Huang, X., Sun, Y., Zhang, J., Li, M., Zeng, J., Wang, M., Xiao, W., Zhong, L., et al. (2019) · Oncogene · doi:10.1038/s41388-019-1013-1 · Cited by 69
Enhancers: bridging the gap between gene control and human disease
Karnuta, J. M., & Scacheri, P. C. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy167 · Cited by 77
Frequent DPH3 promoter mutations in skin cancers
Denisova, E., Heidenreich, B., Nagore, E., Rachakonda, P. S., Hosen, M. I., Akrap, I., Traves, V., García‐Casado, Z., López‐Guerrero, J. A., Requena, C., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.5771 · Cited by 68
Nasopharyngeal carcinoma super-enhancer–driven ETV6 correlates with prognosis
Ke, L., Zhou, H., Wang, C., Xiong, G., Xiang, Y., Ling, Y., Khabir, A., Tsao, G. S., Zeng, Y., Zeng, M., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1705236114 · Cited by 70
Enhancer Reprogramming Confers Dependence on Glycolysis and IGF Signaling in KMT2D Mutant Melanoma
Maitituoheti, M., Keung, E. Z.-Y., Tang, M., Liang, Y., Alam, H., Han, G., Singh, A. K., Raman, A. T., Terranova, C. J., Sarkar, S., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108293 · Cited by 71
Activation of Oncogenic Super-Enhancers Is Coupled with DNA Repair by RAD51
Hazan, I., Monin, J., Bouwman, B. A. M., Crosetto, N., & Aqeilan, R. I. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.09.001 · Cited by 70
Targeting Super-Enhancer–Associated Oncogenes in Osteosarcoma with THZ2, a Covalent CDK7 Inhibitor
Zhang, J., Liu, W., Zou, C., Zhao, Z., Lai, Y., Shi, Z., Xie, X., Huang, G., Wang, Y., Zhang, X., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-1418 · Cited by 69
Leong, W. Z., Tan, S. H., Ngoc, P. C. T., Amanda, S., Yam, A. W. Y., Liau, W., Gong, Z., Lawton, L. N., Tenen, D. G., & Sanda, T. (2017) · Genes & Development · doi:10.1101/gad.302646.117 · Cited by 67
Self-citationThe Genetics and Mechanisms of T-Cell Acute Lymphoblastic LeukemiaPreprint
Gianni, F., Belver, L., & Ferrando, A. A. (2019) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a035246 · Cited by 69
Xu, W.-X., Qu, Q., Zhuang, H.-H., Teng, X.-Q., Wei, Y.-W., Luo, J., Dai, Y.-H., & Qu, J. (2024) · International Journal of Biological Sciences · doi:10.7150/ijbs.92988 · Cited by 70
TOX Regulates Growth, DNA Repair, and Genomic Instability in T-cell Acute Lymphoblastic Leukemia
Lobbardi, R., Pinder, J. B., Martínez-Pastor, B., Theodorou, M., Blackburn, J. S., Abraham, B. J., Namiki, Y., Mansour, M. R., Abdelfattah, N. S., Molodtsov, A. K., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-0267 · Cited by 67
Self-citationLin, H., Jeon, A., Chen, K., Lee, C. J. M., Wu, L., Chong, S.-L., Anene-Nzelu, C. G., Foo, R., & Chow, P. K. H. (2025) · British Journal of Cancer · doi:10.1038/s41416-025-02969-8 · Cited by 72
Applying CRISPR–Cas9 tools to identify and characterize transcriptional enhancers
Lopes, R., Korkmaz, G., & Agami, R. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.79 · Cited by 65
Discovery of regulatory noncoding variants in individual cancer genomes by using cis-X
Liu, Y., Li, C., Shen, S., Chen, X., Szlachta, K., Edmonson, M. N., Shao, Y., Ma, X., Hyle, J., Wright, S., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0659-5 · Cited by 64
Self-citationHigh-density P300 enhancers control cell state transitions
Witte, S. J., Bradley, A., Enright, A. J., & Muljo, S. A. (2015) · BMC Genomics · doi:10.1186/s12864-015-1905-6 · Cited by 66
Zhu, Y., Tazearslan, C., & Suh, Y. (2017) · Experimental Biology and Medicine · doi:10.1177/1535370217713750 · Cited by 68
Gain-of-Function Mutations: An Emerging Advantage for Cancer Biology
Li, Y., Zhang, Y., Li, X., Yi, S. S., & Xu, J. (2019) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2019.03.009 · Cited by 65
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
