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H3K4me3 Breadth Is Linked to Cell Identity and Transcriptional Consistency
Open accessAbstract
Trimethylation of histone H3 at lysine 4 (H3K4me3) is a chromatin modification known to mark the transcription start sites of active genes. Here, we show that H3K4me3 domains that spread more broadly over genes in a given cell type preferentially mark genes that are essential for the identity and function of that cell type. Using the broadest H3K4me3 domains as a discovery tool in neural progenitor cells, we identify novel regulators of these cells. Machine learning models reveal that the broadest H3K4me3 domains represent a distinct entity, characterized by increased marks of elongation. The broadest H3K4me3 domains also have more paused polymerase at their promoters, suggesting a unique transcriptional output. Indeed, genes marked by the broadest H3K4me3 domains exhibit enhanced transcriptional consistency and [corrected] increased transcriptional levels, and perturbation of H3K4me3 breadth leads to changes in transcriptional consistency. Thus, H3K4me3 breadth contains information that could ensure transcriptional precision at key cell identity/function genes.
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“Interestingly, H3K4me3 domains vary in breadth in a locus- and cell-type-specific manner (Benayoun et al., 2014; Chen et al., 2015), and these differences could provide clues about the context-dependent roles of this mark during aging.”
From The Aging Epigenome (2016) · cites this paper as Benayoun et al., 2014
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“The breadth of the H3K4me3 mark has been previously linked to cell identity, gene expression and transcriptional consistency across a variety of cell types30.”
From Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues (2021) · cites this paper as [30]
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1 retracted
Fasano, C. A., Dimos, J. T., Ivanova, N. B., Lowry, N. A., Lemischka, I. R., & Temple, S. (2007) · Cell stem cell · doi:10.1016/j.stem.2007.04.001 · Cited by 308
RetractedSystematic 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
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
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
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-citationTrapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108
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
Bioconductor: open software development for computational biology and bioinformatics
Gentleman, R. C., Carey, V. J., Bates, D. M., Bolstad, B., Dettling, M., Dudoit, S., Ellis, B., Gautier, L., Ge, Y., Gentry, J., et al. (2004) · Genome biology · doi:10.1186/gb-2004-5-10-r80 · Cited by 12,082
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Items 201–300 of 551
Chen, K. G., Johnson, K. R., & Robey, P. G. (2017) · Stem Cell Reports · doi:10.1016/j.stemcr.2017.09.014 · Cited by 25
Xiao, C., Fan, T. T., Zheng, Y., Tian, H., Deng, Z., Liu, J., Li, C., & He, J. (2023) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-005693 · Cited by 25
Bermick, J., Gallagher, K. A., denDekker, A. D., Kunkel, S. L., Lukacs, N. W., & Schaller, M. A. (2018) · FEBS Journal · doi:10.1111/febs.14728 · Cited by 25
Zhou, M., Li, Y., Lin, S., Chen, Y., Qian, Y., Zhao, Z., & Fan, H. (2019) · Digestive Diseases and Sciences · doi:10.1007/s10620-019-05529-2 · Cited by 24
Re-Place Your BETs: The Dynamics of Super Enhancers
Amaral, P., & Bannister, A. J. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.10.008 · Cited by 24
Vosnakis, N., Koch, M., Scheer, E., Kessler, P., Mély, Y., Didier, P., & Tora, L. (2017) · The EMBO Journal · doi:10.15252/embj.201696035 · Cited by 23
Broad Chromatin Domains: An Important Facet of Genome Regulation
Carelli, F. N., Sharma, G., & Ahringer, J. (2017) · BioEssays · doi:10.1002/bies.201700124 · Cited by 24
Mikulášová, A., Kent, D., Trevisán-Herraz, M., Karataraki, N., Fung, K. T. M., Ashby, C., Cieślak, A., Yaccoby, S., van Rhee, F., Zangari, M., et al. (2021) · Genome Research · doi:10.1101/gr.276042.121 · Cited by 22
Hu, Y., Lai, Y., Chen, X., Zhou, D., & Zhao, Y. J. (2020) · Journal of Plant Physiology · doi:10.1016/j.jplph.2020.153167 · Cited by 21
Cellular identity at the single-cell level
Coskun, A. F., Eser, U., & Islam, S. (2016) · Molecular BioSystems · doi:10.1039/c6mb00388e · Cited by 24
Predicting gene essentiality in Caenorhabditis elegans by feature engineering and machine-learning
Campos, T. D. L., Korhonen, P. K., Sternberg, P. W., Gasser, R. B., & Young, N. D. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.05.008 · Cited by 23
Hou, Y., Conklin, B., Choi, H. K., Yang, L., & Lee, K. (2024) · ACS Nano · doi:10.1021/acsnano.4c04406 · Cited by 26
Yang, K., Zhong, Z., Zou, J., Liao, J., Chen, S., Zhou, S., Zhao, Y., Li, J., Yin, D., Huang, K., et al. (2024) · Cancer Letters · doi:10.1016/j.canlet.2024.216840 · Cited by 21
Tissue-specific epigenetics in gene neighborhoods: myogenic transcription factor genes
Chandra, S., Terragni, J., Zhang, G., Pradhan, S., Haushka, S., Johnston, D. A., Baribault, C., Lacey, M. R., & Ehrlich, M. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv198 · Cited by 22
Laverrière, J., L’Hôte, D., Tabouy, L., Schang, A., Quérat, B., & Cohen-Tannoudji, J. (2016) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2016.07.010 · Cited by 25
Liang, Q., Xia, W., Li, W., & Jiao, J. (2017) · Cell Death and Differentiation · doi:10.1038/cdd.2017.157 · Cited by 22
Kikani, C. K., Wu, X., Paul, L., Sabic, H., Shen, Z., Shakya, A., Keefe, A., Villanueva, C. J., Kardon, G., Graves, B. J., et al. (2016) · eLife · doi:10.7554/elife.17985 · Cited by 19
Zhang, J., Sun, Q.-R., Liu, L., Yang, S., Zhang, X., Miao, Y., & Liu, X. (2024) · The EMBO Journal · doi:10.1038/s44318-024-00329-5 · Cited by 24
Cell Specificity of Human Regulatory Annotations and Their Genetic Effects on Gene Expression
Varshney, A., VanRenterghem, H., Orchard, P., Boyle, A. P., Stitzel, M. L., Ucar, D., & Parker, S. C. J. (2018) · Genetics · doi:10.1534/genetics.118.301525 · Cited by 17
Self-citationMetabolic–Epigenetic Axis in Pluripotent State Transitions
D’Aniello, C., Cermola, F., Patriarca, E. J., & Minchiotti, G. (2019) · Epigenomes · doi:10.3390/epigenomes3030013 · Cited by 20
FAM72, Glioblastoma Multiforme (GBM) and Beyond
Ho, N. T. T., Rahane, C. S., Pramanik, S., Kim, P., Kutzner, A., & Heese, K. (2021) · Cancers · doi:10.3390/cancers13051025 · Cited by 20
Zhang, L.-Q., & Li, Q. (2017) · Oncotarget · doi:10.18632/oncotarget.16988 · Cited by 20
Shah, K. K., King, G. D., & Jiang, H. (2019) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjz036 · Cited by 21
Kamaraj, U. S., Chen, J., Katwadi, K., Ouyang, J. F., Sun, Y., Lim, Y. M., Liu, X., Handoko, L., Polo, J. M., Petretto, E. G., et al. (2020) · Cell Systems · doi:10.1016/j.cels.2020.09.004 · Cited by 19
Fox, S., Myers, J., Davidson, C., Getman, M. R., Kingsley, P. D., Frankiewicz, N., & Bulger, M. (2020) · Nature Communications · doi:10.1038/s41467-020-18303-0 · Cited by 19
The Role of H3K4 Trimethylation in CpG Islands Hypermethylation in Cancer
Zardo, G. (2021) · Biomolecules · doi:10.3390/biom11020143 · Cited by 20
Shirafuta, Y., Tamura, I., Ohkawa, Y., Maekawa, R., Doi‐Tanaka, Y., Takagi, H., Mihara, Y., Shinagawa, M., Taketani, T., Sato, S., et al. (2021) · Endocrinology · doi:10.1210/endocr/bqab128 · Cited by 18
Yuan, J., Jiang, Q., Gong, T., Fan, D., Zhang, J., Chen, F., Zhu, X., Wang, X., Qiao, Y., Chen, H., et al. (2021) · npj Genomic Medicine · doi:10.1038/s41525-021-00232-6 · Cited by 18
Axsom, J., Schmidt, H. D., Matura, L. A., & Libonati, J. R. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.686270 · Cited by 20
SETD1A regulates transcriptional pause release of heme biosynthesis genes in leukemia
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Tamura, I., Shiroshita, A., Fujimura, T., Doi‐Tanaka, Y., Shirafuta, Y., Maekawa, R., Taketani, T., Sato, S., & Sugino, N. (2023) · Molecular Human Reproduction · doi:10.1093/molehr/gaad019 · Cited by 19
Onodera, A., Tumes, D. J., Watanabe, Y., Hirahara, K., Kaneda, A., Sugiyama, F., Suzuki, Y., & Nakayama, T. (2015) · Molecular and Cellular Biology · doi:10.1128/mcb.00677-15 · Cited by 18
Zhang, A., Wei, Y., Shi, Y., Deng, X., Gao, J., Feng, Y., Zheng, D., Cheng, X., Li, Z., Wang, T., et al. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.761059 · Cited by 17
Zhang, T., Zheng, R., Mao, L., Yan, C., Lan, X., Tong, B., Lu, P., & Jiang, W. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac265 · Cited by 17
Tian, H., He, Y., Xue, Y., & Gao, Y. Q. (2022) · Life Science Alliance · doi:10.26508/lsa.202101302 · Cited by 16
Sox8 remodels the cranial ectoderm to generate the ear
Buzzi, A. L., Chen, J., Thiery, A. P., Delile, J., & Streit, A. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2118938119 · Cited by 17
Qu, J., Betting, V., van Iterson, R., Kwaschik, F. M., & van Rij, R. P. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112257 · Cited by 16
Zhang, Y., Lou, J., Liu, Y., Jin, P., Tan, Y., Song, H., Jin, W. Y., Wang, D., Dong, F., Wu, S., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2406519121 · Cited by 17
Cordero, J., Swaminathan, G., Rogel-Ayala, D. G., Rubio, K., Elsherbiny, A., Mahmood, S., Szymański, W., Graumann, J., Braun, T., Günther, S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-54740-x · Cited by 13
Natsume‐Kitatani, Y., & Mamitsuka, H. (2016) · PLoS ONE · doi:10.1371/journal.pone.0151917 · Cited by 17
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Ta, H. Q., Whitworth, H., Yin, Y., Conaway, M. R., Frierson, H. F., Campbell, M. J., Raj, G. V., & Gioeli, D. G. (2019) · Molecular Cancer · doi:10.1186/s12943-019-1039-6 · Cited by 17
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Duncan, E. M., & Sánchez Alvarado, A. (2019) · Annual Review of Genetics · doi:10.1146/annurev-genet-112618-043733 · Cited by 17
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Hezroni, H., Perry, R. B., Gil, N., Degani, N., & Ulitsky, I. (2020) · EMBO Reports · doi:10.15252/embr.202051264 · Cited by 16
Thanuthanakhun, N., Kino‐oka, M., Borwornpinyo, S., Ito, Y., & Kim, M. (2020) · Journal of Cellular Physiology · doi:10.1002/jcp.30211 · Cited by 17
Pinto, D., Pagé, V., Fisher, R. P., & Tanny, J. C. (2021) · Current Genetics · doi:10.1007/s00294-021-01196-x · Cited by 16
Transcription-Dependent Generation of a Specialized Chromatin Structure at the TCRβ Locus
Cabeza, J. Z., Belhocine, M., Vanhille, L., Cauchy, P., Koch, F., Pękowska, A., Fenouil, R., Bergon, A., Gut, M., Gut, I. G., et al. (2015) · The Journal of Immunology · doi:10.4049/jimmunol.1400789 · Cited by 21
A spatially organized Cd24a + / Pax9 + stem cell core governs postnatal tooth establishment
Shan, C., Wang, W., Lu, H., Wang, K., Wang, T., Zhang, Z., Li, M., Chen, Y., Xiao, Z. J., Cai, H., et al. (2025) · Science Advances · doi:10.1126/sciadv.adu5653 · Cited by 17
Epigenetic alterations facilitate transcriptional and translational programs in hypoxia
Watt, K., Dauber, B., Szkop, K. J., Lee, L. J., Jovanovic, P., Chen, S., Palia, R., Vassalakis, J. A., Cooper, T. T., Papadopoli, D. J., et al. (2025) · Nature Cell Biology · doi:10.1038/s41556-025-01786-8 · Cited by 21
Productive visualization of high-throughput sequencing data using the SeqCode open portable platform
Blanco, E., González-Ramírez, M., & Croce, L. D. (2021) · Scientific Reports · doi:10.1038/s41598-021-98889-7 · Cited by 17
Proteasome inhibition creates a chromatin landscape favorable to RNA Pol II processivity
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Uncovering correlated variability in epigenomic datasets using the Karhunen-Loeve transform
Madrigal, P., & Krajewski, P. (2015) · BioData Mining · doi:10.1186/s13040-015-0051-7 · Cited by 15
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Vanzan, L., Sklias, A., Bošković, M., Herceg, Z., Murr, R., & Suter, D. M. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91909-8.00019-0 · Cited by 17
Longo, M., Zatterale, F., Spinelli, R., Naderi, J., Parrillo, L., Florese, P., Nigro, C., Leone, A., Moccia, A., Desiderio, A., et al. (2023) · Clinical Epigenetics · doi:10.1186/s13148-023-01556-z · Cited by 17
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Qiao, Y., Yang, X., & Jing, N. (2016) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-015-2125-6 · Cited by 15
Mitochondrial control through nutritionally regulated global histone H3 lysine-4 demethylation
Soloveychik, M., Xu, M., Zaslaver, O., Lee, K., Narula, A., Jiang, R., Rosebrock, A. P., Caudy, A. A., & Meneghini, M. D. (2016) · Scientific Reports · doi:10.1038/srep37942 · Cited by 17
Hime, G. R., Stonehouse, S. L., & Pang, T. Y. (2021) · World Journal of Psychiatry · doi:10.5498/wjp.v11.i10.711 · Cited by 13
Campbell, S. A., McDonald, C. L., Krentz, N. A. J., Lynn, F. C., & Hoffman, B. G. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.07.035 · Cited by 15
Single-cell profiling of histone modifications in the mouse brainPreprint
Bartošovič, M., Kabbe, M., & Castelo‐Branco, G. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.02.279703 · Cited by 15
Broad domains of histone marks in the highly compact Paramecium macronuclear genomePreprint
Drews, F., Salhab, A., Karunanithi, S., Cheaib, M., Jung, M., Schulz, M. H., & Simon, M. C. (2022) · Genome Research · doi:10.1101/gr.276126.121 · Cited by 17
Bae, W., Ra, E. A., & Lee, M. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1559183 · Cited by 17
Establishment of chromatin architecture interplays with embryo hypertranscription
Yu, G., Xu, K., Xia, W., Zhang, K., Xu, Q., Li, L., Lin, Z., Liu, L., Liu, B., Du, Z., et al. (2025) · Nature · doi:10.1038/s41586-025-09400-5 · Cited by 16
Rytkönen, K. T., Faux, T., Mahmoudian, M., Heinosalo, T., Nnamani, M. C., Perheentupa, A. H., POUTANEN, M. H., Elo, L. L., & Wagner, G. P. (2022) · iScience · doi:10.1016/j.isci.2022.104235 · Cited by 14
Barsoum, M., Stenzel, A. T., Bochyńska, A., Kuo, C., Tsompanidis, A., Sayadi-Boroujeni, R., Bussmann, P., Lüscher‐Firzlaff, J., Costa, I. G., & Lüscher, B. (2022) · Scientific Reports · doi:10.1038/s41598-022-25881-0 · Cited by 15
Ayyappan, V., Sripathi, V. R., Xie, S., Saha, M. C., Hayford, R. K., Serba, D. D., Subramani, M., Thimmapuram, J., Todd, A., & Kalavacharla, V. K. (2024) · BMC Genomics · doi:10.1186/s12864-024-10068-w · Cited by 14
Bayne, R. S., Puckett, S. H., Rodrigues, L. U., Cramer, S. D., Lee, J., Furdui, C. M., Chou, J. W., Miller, L. D., Ornelles, D. A., & Lyles, D. S. (2020) · Molecular Therapy — Oncolytics · doi:10.1016/j.omto.2020.05.004 · Cited by 14
Liu, J., Jiang, Y., Huang, H. W., Xu, J., Wu, Y., Wang, Q., Zhu, Y., Zheng, B. J., Shen, C., Qian, W., et al. (2022) · Cancer Science · doi:10.1111/cas.15623 · Cited by 14
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Vanderkruk, B., Maeshima, N., Pasula, D. J., An, M., McDonald, C. L., Suresh, P., Luciani, D. S., Lynn, F. C., & Hoffman, B. G. (2023) · Diabetologia · doi:10.1007/s00125-023-05896-6 · Cited by 17
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Gamberoni, F., Borgese, M., Pagiatakis, C., Armenia, I., Grazú, V., Gornati, R., Serio, S., Papait, R., & Bernardini, G. (2023) · Nano Letters · doi:10.1021/acs.nanolett.3c01967 · Cited by 13
Sun, Y., Iyer, M. K., McEachin, R. C., Zhao, M., Wu, Y.-M., Cao, X., Oravecz-Wilson, K. I., Zajac, C. K., Mathewson, N. D., Wu, S.-R. J., et al. (2016) · Journal of Innate Immunity · doi:10.1159/000450681 · Cited by 13
Ho, N. T. T., Kutzner, A., & Heese, K. (2017) · Biological Chemistry · doi:10.1515/hsz-2017-0190 · Cited by 14
Satish, M., Nivya, M. A., Abhishek, S., Nakarakanti, N. K., Shivani, D., Vani, M. V., & Rajakumara, E. (2017) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.25399 · Cited by 15
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Jahan, S., Beacon, T. H., Xu, W. W., & Davie, J. (2019) · Biochemistry and Cell Biology · doi:10.1139/bcb-2019-0107 · Cited by 13
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Shi, C., Wang, L., & Sen, P. (2020) · Translational Medicine of Aging · doi:10.1016/j.tma.2020.08.002 · Cited by 14
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Ucar, D., & Benayoun, B. A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-811060-7.00001-2 · Cited by 14
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Fiziev, P. P., & Ernst, J. (2018) · Genome biology · doi:10.1186/s13059-018-1485-2 · Cited by 13
Ohtani, H., Liu, M., Liang, G., Jang, H. J., & Jones, P. A. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae498 · Cited by 13
Li, Y., Wang, C., Fu, X., Wu, D., He, C., Dai, W., Yue, X., Luo, Z., Yang, J., & Wan, Q.-L. (2025) · Redox Biology · doi:10.1016/j.redox.2025.103598 · Cited by 16
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Krauss, S. R., & de Haan, G. (2016) · Mammalian Genome · doi:10.1007/s00335-016-9645-8 · Cited by 14
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Zhu, Q., Ramakrishnan, M., Park, J., & Belden, W. J. (2019) · BMC Genomics · doi:10.1186/s12864-019-5729-7 · Cited by 12
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Natesan, R., Aras, S., Effron, S. S., & Asangani, I. A. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-32656-2_17 · Cited by 12
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Metadata
- Authors
- Benayoun, B. A., Pollina, E. A., Ucar, D., Mahmoudi, S., Karra, K., Wong, E. D., Devarajan, K., Daugherty, A. C., Kundaje, A. B., Mancini, E., Hitz, B. C., Gupta, R., Rando, T. A., Baker, J. C., Snyder, M. P., Cherry, J. M., & Brunet, A.
- Affiliations
- Stanford University (US)
- Stanford Medicine (US)
- VA Palo Alto Health Care System (US)
- Corresponding author
- Brunet, Anne
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 158
- Issue
- 3
- Pages
- 673-688
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4137894
- OpenAlex
- W1984173288
- Cited by
- 536
- References
- 105
- Citations by year
- 2026: 28 · 2025: 53 · 2024: 52 · 2023: 50 · 2022: 41 · 2021: 57 · 2020: 40 · 2019: 44 · 2018: 32 · 2017: 51 · 2016: 47 · 2015: 38 · 2014: 3
- FWCI
- 4.36
- Type
- journal article
- Language
- en
- Update notices
- erratum (2015-11-19)
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
- Funders
- National Institute on Aging (F31AG043232, DP1AG044848, P01AG036695)
- National Cancer Institute (T32CA009302)
- National Institute of General Medical Sciences (P01GM099130, R01GM103787, T32GM007790)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Keywords
- H3K4me3, histone trimethylation, chromatin modification, transcription start sites, cell identity, neural progenitor cells, gene expression regulation, RNA polymerase II elongation, cell type-specific genes, machine learning
- MeSH terms
- Animals, Artificial Intelligence, Cells, Histones, Humans, Lysine, Methylation, Mice, Inbred C57BL, RNA Polymerase II, Transcription, Genetic, Genomics, Histone Code, Neural Stem Cells
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