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Mapping and analysis of chromatin state dynamics in nine human cell types
Open accessAbstract
Chromatin profiling has emerged as a powerful means of genome annotation and detection of regulatory activity. The approach is especially well suited to the characterization of non-coding portions of the genome, which critically contribute to cellular phenotypes yet remain largely uncharted. Here we map nine chromatin marks across nine cell types to systematically characterize regulatory elements, their cell-type specificities and their functional interactions. Focusing on cell-type-specific patterns of promoters and enhancers, we define multicell activity profiles for chromatin state, gene expression, regulatory motif enrichment and regulator expression. We use correlations between these profiles to link enhancers to putative target genes, and predict the cell-type-specific activators and repressors that modulate them. The resulting annotations and regulatory predictions have implications for the interpretation of genome-wide association studies. Top-scoring disease single nucleotide polymorphisms are frequently positioned within enhancer elements specifically active in relevant cell types, and in some cases affect a motif instance for a predicted regulator, thus suggesting a mechanism for the association. Our study presents a general framework for deciphering cis-regulatory connections and their roles in disease.
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“To some degree this can be overcome by correlative approaches (e.g. correlating open chromatin status between promoters and enhancers across large numbers of cell types) but such links remain inferential45,134,135.”
From Towards a comprehensive catalogue of validated and target-linked human enhancers (2020) · cites this paper as [135]
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In the citing paper
“Currently mono-methylation of histone H3 lysine 4 (H3K4me1), associated with the binding of Trithorax/MLL complexes, is taken to be the hallmark of both ‘primed’ and active enhancers, whilst active enhancers additionally tend to associate with the acetylation of histone H3 lysine 27 (H3K27ac) [133–137].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [134]
Experimental — accuracy not yet measuredIn the citing paper
“ChIPseq using antibodies to H3K4Me3, a mark associated with active promoter sites (Ernst et al., 2011), and to H3K27Ac, a mark associated with enhancer elements (Heintzman et al., 2009), demonstrated mapped read peaks corresponding to at least four major transcriptional start sites within the SYNE1 locus (P1–P4), one of which (P3) lies immediately upstream of the p.L3206M mutation (Figure 3E).”
From Using Whole-Exome Sequencing to Identify Inherited Causes of Autism (2013) · cites this paper as Ernst et al., 2011
In the citing paper
“This mystery, which we will call the enhancer-gene specificity conundrum, is important to solve because the majority of disease-associated non-coding variation occurs in the vicinity of enhancers and thus likely impacts these enhancers’ target genes (Ernst et al., 2011; Farh et al., 2015; Hnisz et al., 2013; Maurano et al., 2012).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Ernst et al., 2011
In the citing paper
“Tens of thousands of non-coding genetic variants have been linked with various human diseases and traits in genome-wide association studies (GWAS), and the majority of these variants occur in enhancers (Ernst et al., 2011; Farh et al., 2015; Hnisz et al., 2013; Maurano et al., 2012).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Ernst et al., 2011
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Cites
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
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
High-Resolution Profiling of Histone Methylations in the Human Genome
Barski, A., Cuddapah, S., Cui, K., Roh, T.-Y., Schones, D. E., Wang, Z., Wei, G., Chepelev, I., & Zhao, K. (2007) · Cell · doi:10.1016/j.cell.2007.05.009 · Cited by 6,845
A bivalent chromatin structure marks key developmental genes in embryonic stem cells
Bernstein, B. E., Mikkelsen, T. S., Xie, X., Kamal, M., Huebert, D. J., Cuff, J., Fry, B., Meissner, A., Wernig, M., Plath, K., et al. (2006) · Cell · doi:10.1016/j.cell.2006.02.041 · Cited by 5,361
Self-citationThe ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Self-citationPruitt, K. D., Tatusova, T. A., & Maglott, D. R. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl842 · Cited by 4,441
Genome-wide maps of chromatin state in pluripotent and lineage-committed cells
Mikkelsen, T. S., Ku, M., Jaffe, D. B., Issac, B., Lieberman, E., Giannoukos, G., Alvarez, P., Brockman, W., Kim, T.-K., Koche, R. P., et al. (2007) · Nature · doi:10.1038/nature06008 · Cited by 4,129
Self-citationHindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013
Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes
Siepel, A., Bejerano, G., Pedersen, J. S., Hinrichs, A. S., Hou, M., Rosenbloom, K., Clawson, H., Spieth, J., Hillier, L. W., Richards, S., et al. (2005) · Genome Research · doi:10.1101/gr.3715005 · Cited by 3,971 · cited 1×
“We used annotations obtained through the UCSC Genome Browser 54 for RefSeq TSSs and transcribed regions 55 , PhastCons 56 , DNase-seq for K562 cells 12 , c-Myc ChIP-seq for K562 cells 13 , NF-κ B ChIP-seq for GM12878 14 , Oct4 in ES cells 24 and nuclear lamina 15 .”
Biological, clinical and population relevance of 95 loci for blood lipids
Teslovich, T. M., Musunuru, K., Smith, A. V., Edmondson, A. C., Stylianou, I. M., Koseki, M., Pirruccello, J. P., Ripatti, S., Chasman, D. I., Willer, C. J., et al. (2010) · Nature · doi:10.1038/nature09270 · Cited by 3,487
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Zhang, X.-O., Gingeras, T., & Weng, Z. (2019) · Genome Research · doi:10.1101/gr.249789.119 · Cited by 93
Self-citationImmunogenetics of rheumatoid arthritis: Understanding functional implications
Messemaker, T. C., Huizinga, T. W. J., & Kurreeman, F. A. S. (2015) · Journal of Autoimmunity · doi:10.1016/j.jaut.2015.07.007 · Cited by 92
Cell-Cycle Control of Bivalent Epigenetic Domains Regulates the Exit from Pluripotency
Singh, A. M., Sun, Y., Li, L., Zhang, W., Wu, T., Zhao, S., Qin, Z. S., & Dalton, S. (2015) · Stem Cell Reports · doi:10.1016/j.stemcr.2015.07.005 · Cited by 92
Hawkins, R. D., Larjo, A., Tripathi, S. K., Wagner, U., Luu, Y., Lönnberg, T., Raghav, S. K., Lee, L. K., Lund, R., Ren, B., et al. (2013) · Immunity · doi:10.1016/j.immuni.2013.05.011 · Cited by 92
Short-term memory of danger signals and environmental stimuli in immune cells
Monticelli, S., & Natoli, G. (2013) · Nature Immunology · doi:10.1038/ni.2636 · Cited by 92
Progress and challenges in bioinformatics approaches for enhancer identification
Kleftogiannis, D., Kalnis, P., & Bajić, V. B. (2015) · Briefings in Bioinformatics · doi:10.1093/bib/bbv101 · Cited by 92
Enhancer remodeling promotes tumor-initiating activity in NRF2-activated non-small cell lung cancers
Okazaki, K., Anzawa, H., Liu, Z., Ota, N., Kitamura, H., Onodera, Y., Alam, M. M., Matsumaru, D., Suzuki, T., Katsuoka, F., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19593-0 · Cited by 92
Both Ends of the Leash — The Human Links to Good Dogs with Bad Genes
Ostrander, E. A. (2012) · New England Journal of Medicine · doi:10.1056/nejmra1204453 · Cited by 92
The Chromatin Fingerprint of Gene Enhancer Elements
Zentner, G. E., & Scacheri, P. C. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.r111.296491 · Cited by 92
Acetylated histone variant H2A.Z is involved in the activation of neo-enhancers in prostate cancer
Valdés‐Mora, F., Gould, C. M., Colino‐Sanguino, Y., Qu, W., Song, J. Z., Taylor, K. M., Buske, F. A., Statham, A. L., Nair, S. S., Armstrong, N. J., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01393-8 · Cited by 92
Zacher, B., Michel, M., Schwalb, B., Cramer, P., Tresch, A., & Gagneur, J. (2017) · PLOS ONE · doi:10.1371/journal.pone.0169249 · Cited by 91
Prognostic and Predictive Epigenetic Biomarkers in Oncology
Kaminska, K. H., Nalejska, E., Kubiak, M., Wojtysiak, J., Żołna, Ł., Kowalewski, J., & Lewandowska, M. A. (2018) · Molecular Diagnosis & Therapy · doi:10.1007/s40291-018-0371-7 · Cited by 91
Profiling chromatin regulatory landscape: insights into the development of ChIP-seq and ATAC-seq
Ma, S., & Zhang, Y. (2020) · Molecular Biomedicine · doi:10.1186/s43556-020-00009-w · Cited by 91
Stirzaker, C., Song, J. Z., Ng, W., Du, Q., Armstrong, N. J., Locke, W. J., Statham, A. L., French, H. J., Pidsley, R., Valdés‐Mora, F., et al. (2016) · Oncogene · doi:10.1038/onc.2016.297 · Cited by 91
From genetics of inflammatory bowel disease towards mechanistic insights
Graham, D. B., & Xavier, R. J. (2013) · Trends in Immunology · doi:10.1016/j.it.2013.04.001 · Cited by 90
Systematic functional regulatory assessment of disease-associated variants
Karczewski, K. J., Dudley, J. T., Kukurba, K. R., Chen, R., Butte, A. J., Montgomery, S. B., & Snyder, M. P. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219099110 · Cited by 90
Progress in the Genetics of Polygenic Brain Disorders: Significant New Challenges for Neurobiology
McCarroll, S. A., & Hyman, S. E. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.046 · Cited by 90
Hallmarks of Aromatase Inhibitor Drug Resistance Revealed by Epigenetic Profiling in Breast Cancer
Jansen, M. P. H. M., Knijnenburg, T., Reijm, E. A., Simón, I., Kerkhoven, R. M., Droog, M., Velds, A., Laere, S. V., Dirix, L. Y., Alexi, X., et al. (2013) · Cancer Research · doi:10.1158/0008-5472.can-13-0704 · Cited by 90
Hannon, E. J., Weedon, M., Bray, N. J., O’Donovan, M. C., & Mill, J. S. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.04.013 · Cited by 90
Rodríguez‐Paredes, M., Bormann, F., Raddatz, G., Gutekunst, J., Lucena-Porcel, C., Köhler, F., Wurzer, E., Schmidt, K., Gallinat, S., Wenck, H., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03025-1 · Cited by 90
He, H., Li, W., Liyanarachchi, S., Srinivas, M., Wang, Y., Akagi, K., Wang, Y., Wu, D., Wang, Q., Jin, V. X., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1506255112 · Cited by 89
Systematic Epigenomic Analysis Reveals Chromatin States Associated with Melanoma Progression
Fiziev, P. P., Akdemir, K. C., Miller, J. P., Keung, E. Z.-Y., Samant, N. S., Sharma, S., Natale, C. A., Terranova, C. J., Maitituoheti, M., Amin, S. B., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.03.078 · Cited by 89
Self-citationThe histone variant H2A.Z is an important regulator of enhancer activity
Brunelle, M., Nordell-Markovits, A., Rodrigue, S., Lupien, M., Jacques, P., & Gévry, N. Y. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv825 · Cited by 90
Epigenetic layers and players underlying neurodevelopment
LaSalle, J. M., Powell, W. T., & Yasui, D. H. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2013.05.001 · Cited by 89
Evans, K. J., Huang, N., Stempor, P., Chesney, M. A., Down, T. A., & Ahringer, J. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608162113 · Cited by 89
Mammana, A., & Chung, H. (2015) · Genome biology · doi:10.1186/s13059-015-0708-z · Cited by 88
A genome-wide survey for SNPs altering microRNA seed sites identifies functional candidates in GWAS
Richardson, K., Lai, C., Parnell, L. D., Lee, Y., & Ordovás, J. M. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-504 · Cited by 88
Gu, T., & Elgin, S. C. R. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003780 · Cited by 88
Common variation near ROBO2 is associated with expressive vocabulary in infancy
Pourcain, B. S., Cents, R. A. M., Whitehouse, A., Haworth, C. M. A., Davis, O. S. P., O’Reilly, P. F., Roulstone, S., Wren, Y. E., Ang, Q. W., Velders, F. P., et al. (2014) · Nature Communications · doi:10.1038/ncomms5831 · Cited by 88
Pastore, A., Gaiti, F., Lu, S. X., Brand, R. M., Kulm, S., Chaligné, R., Gu, H., Huang, K. Y., Stamenova, E. K., Béguelin, W., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09645-5 · Cited by 88
Self-citationHitting the ‘mark’: Interpreting lysine methylation in the context of active transcription
Wozniak, G. G., & Strahl, B. D. (2014) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2014.03.002 · Cited by 88
Woo, C. J., Maier, V., Davey, R., Brennan, J., Li, G., Brothers, J. F., Schwartz, B. E., Gordo, S., Kasper, A., Okamoto, T. R., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1616521114 · Cited by 88
Function-based identification of mammalian enhancers using site-specific integration
Dickel, D. E., Zhu, Y., Nord, A. S., Wylie, J. N., Akiyama, J. A., Afzal, V., Plajzer-Frick, I., Kirkpatrick, A. M., Göttgens, B., Bruneau, B. G., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2886 · Cited by 87
Palmer, N. D., Goodarzi, M. O., Langefeld, C. D., Wang, N., Guo, X., Taylor, K. D., Fingerlin, T. E., Norris, J. M., Buchanan, T. A., Xiang, A. H., et al. (2014) · Diabetes · doi:10.2337/db14-0732 · Cited by 87
Mapping effector genes at lupus GWAS loci using promoter Capture-C in follicular helper T cells
Su, C., Johnson, M. E., Torres, A., Thomas, R. M., Manduchi, E., Sharma, P. K., Mehra, P., Coz, C. L., Leonard, M. E., Lu, S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17089-5 · Cited by 86
Miyamoto, T., Furusawa, C., & Kaneko, K. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004476 · Cited by 87
Jiang, S., Willox, B., Zhou, H., Holthaus, A. M., Wang, A., Shi, T. T., Maruo, S., Kharchenko, P. V., Johannsen, E., Kieff, E. D., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1321704111 · Cited by 87
Valle‐García, D., Qadeer, Z. A., McHugh, D., Ghiraldini, F. G., Chowdhury, A. H., Hasson, D., Dyer, M. A., Targa, F. R., & Bernstein, E. (2016) · Epigenetics · doi:10.1080/15592294.2016.1169351 · Cited by 88
The role of epigenomics in personalized medicine
Kronfol, M. M., Dozmorov, M. G., Huang, R., Slattum, P. W., & McClay, J. L. (2017) · Expert Review of Precision Medicine and Drug Development · doi:10.1080/23808993.2017.1284557 · Cited by 87
Functional Architectures of Local and Distal Regulation of Gene Expression in Multiple Human Tissues
Liu, X., Finucane, H. K., Gusev, A., Bhatia, G., Gazal, S., O’Connor, L. J., Bulik-Sullivan, B. K., Wright, F. A., Sullivan, P. F., Neale, B. M., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.03.002 · Cited by 87
High-throughput screening of prostate cancer risk loci by single nucleotide polymorphisms sequencing
Zhang, P., Xia, J., Zhu, J., Gao, P. H., Tian, Y., Du, M., Guo, Y.-C., Suleman, S., Zhang, Q., Kohli, M., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04451-x · Cited by 87
Self-citationLarge-Scale Identification of Coregulated Enhancer Networks in the Adult Human Brain
Vermunt, M. W., Reinink, P., Korving, J., de Bruijn, E., Creyghton, P. M., Başak, O., Geeven, G., Toonen, P. W., Lansu, N. R., Meunier, C., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.09.023 · Cited by 86
Chaudhary, R., Gryder, B. E., Woods, W. S., Subramanian, M., Jones, M. F., Li, X. L., Jenkins, L. M. M., Shabalina, S. A., Mo, M., Dasso, M., et al. (2017) · eLife · doi:10.7554/elife.23244 · Cited by 86
McEnhancer: predicting gene expression via semi-supervised assignment of enhancers to target genes
Hafez, D., Calviello, A. K., Krueger, S., Hwang, Y.-C., Wang, L., Zinzen, R. P., & Ohler, U. (2017) · Genome biology · doi:10.1186/s13059-017-1316-x · Cited by 86
Self-citationHayakawa, K., Hirosawa, M., Tabei, Y., Arai, D., Tanaka, S., Murakami, N., Yagi, S., & Shiota, K. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.455899 · Cited by 86
Genomic approaches for understanding the genetics of complex diseasePreprint
Lowe, W. L., & Reddy, T. E. (2015) · Genome Research · doi:10.1101/gr.190603.115 · Cited by 86
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Borsari, B., Villegas-Mirón, P., Pérez-Lluch, S., Turpín, I., Laayouni, H., Segarra‐Casas, A., Bertranpetit, J., Guigó, R., & Acosta, S. (2021) · Genome Research · doi:10.1101/gr.270371.120 · Cited by 86
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French, R., & Pauklin, S. (2020) · International Journal of Cancer · doi:10.1002/ijc.33398 · Cited by 87
González, A. J., Setty, M. N., & Leslie, C. S. (2015) · Nature Genetics · doi:10.1038/ng.3402 · Cited by 85
Epigenomics of cancer – emerging new concepts
Hassler, M. R., & Egger, G. (2012) · Biochimie · doi:10.1016/j.biochi.2012.05.007 · Cited by 85
Liu, H., Liu, X., Zhang, S., Lv, J., Li, S., Shang, S., Jia, S., Wei, Y., Wang, F., Su, J., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1332 · Cited by 85
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Vergara, Z., & Gutiérrez, C. (2017) · Genome biology · doi:10.1186/s13059-017-1236-9 · Cited by 85
Iwafuchi, M., Cuesta, I., Donahue, G., Takenaka, N., Osipovich, A. B., Magnuson, M. A., Röder, H., Seeholzer, S. H., Santisteban, P., & Zaret, K. S. (2020) · Nature Genetics · doi:10.1038/s41588-020-0591-8 · Cited by 85
Galamb, O., Kalmár, A., Péterfia, B. F., Csabai, I., Bodor, A., Ribli, D., Krenács, T., Patai, Á. V., Wichmann, B., Barták, B. K., et al. (2016) · Epigenetics · doi:10.1080/15592294.2016.1190894 · Cited by 84
Muratani, M., Deng, N., Ooi, W. F., Lin, S. J., Xing, M., Xu, C., Qamra, A., Tay, S. T., Malik, S., Wu, J., et al. (2014) · Nature Communications · doi:10.1038/ncomms5361 · Cited by 84
Distinct p53 genomic binding patterns in normal and cancer-derived human cells
Botcheva, K., McCorkle, S., McCombie, W. R., Dunn, J. J., & Anderson, C. W. (2011) · Cell Cycle · doi:10.4161/cc.10.24.18383 · Cited by 84
Wu, W.-S., Morrissey, C. S., Keller, C. A., Mishra, T., Pimkin, M., Blobel, G. A., Weiss, M. J., & Hardison, R. C. (2014) · Genome Research · doi:10.1101/gr.164830.113 · Cited by 84
Shpyleva, S., Ivanovsky, S., de Conti, A., Melnyk, S., Tryndyak, V., Beland, F. A., James, S. J., & Pogribny, I. P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0113712 · Cited by 83
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Quinn, H. M., Vogel, R., Popp, O., Mertins, P., Lan, L., Messerschmidt, C., Landshammer, A., Lisek, K., Château‐Joubert, S., Marangoni, E., et al. (2021) · Cancer Research · doi:10.1158/0008-5472.can-20-2801 · Cited by 83
The LDB1 Complex Co-opts CTCF for Erythroid Lineage-Specific Long-Range Enhancer Interactions
Lee, J., Krivega, I. V., Dale, R., & Dean, A. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.05.072 · Cited by 83
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Verfaillie, A., Svetlichnyy, D., Imrichova, H., Davie, K., Fiers, M., Kalender Atak, Z., Hulselmans, G., Christiaens, V., & Aerts, S. (2016) · Genome Research · doi:10.1101/gr.204149.116 · Cited by 82
Alam, T., Medvedeva, Y. A., Jia, H., Brown, J., Lipovich, L., & Bajić, V. B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109443 · Cited by 82
Whole-genome sequencing in an autism multiplex family
Shi, L., Zhang, X., Golhar, R., Otieno, F. G., He, M., Hou, C., Kim, C., Keating, B. J., Lyon, G. J., Wang, K., et al. (2013) · Molecular Autism · doi:10.1186/2040-2392-4-8 · Cited by 82
Self-citationBarter, M. J., Gómez, R., Hyatt, S., Cheung, K., Skelton, A. J., Xu, Y., Clark, I. M., & Young, D. A. (2017) · Development · doi:10.1242/dev.152504 · Cited by 82
Coarfa, C., Fiskus, W. C., Eedunuri, V. K., Rajapakshe, K., Foley, C., Chew, S. A., Shah, S. S., Geng, C., Shou, J., Mohamed, J. S., et al. (2015) · Oncogene · doi:10.1038/onc.2015.295 · Cited by 82
Cfp1 is required for gene expression dependent H3K4me3 and H3K9 acetylation in embryonic stem cells
Clouaire, T., Webb, S., & Bird, A. P. (2014) · Genome biology · doi:10.1186/preaccept-8577431391252814 · Cited by 82
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Su, Z., & Denu, J. M. (2015) · ACS Chemical Biology · doi:10.1021/acschembio.5b00864 · Cited by 82
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Hosogane, M., Funayama, R., Shirota, M., & Nakayama, K. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.06.034 · Cited by 82
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Gorkin, D. U., Qiu, Y., Hu, M., Fletez‐Brant, K., Liu, T., Schmitt, A. D., Noor, A., Chiou, J., Gaulton, K. J., Sebat, J. L., et al. (2019) · Genome biology · doi:10.1186/s13059-019-1855-4 · Cited by 82
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Hu, J., Selby, C. P., Adar, S., Adebali, O., & Sancar, A. (2017) · Journal of Biological Chemistry · doi:10.1074/jbc.r117.807453 · Cited by 81
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Ray-Jones, H., & Spivakov, M. (2021) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-021-03903-w · Cited by 81
Single-molecule analysis of combinatorial epigenomic states in normal and tumor cells
Murphy, P. J., Cipriany, B. R., Wallin, C. B., Ju, C., Szeto, K., Hagarman, J. A., Benítez, J. J., Craighead, H. G., & Soloway, P. D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1218495110 · Cited by 81
Chan, C., Fang, C., Qiao, Y., Yarilina, A., Prinjha, R. K., & Ivashkiv, L. B. (2014) · European Journal of Immunology · doi:10.1002/eji.201444862 · Cited by 81
Understanding the Epigenetic Syntax for the Genetic Alphabet in the Kidney
Suszták, K. (2013) · Journal of the American Society of Nephrology · doi:10.1681/asn.2013050461 · Cited by 81
Caron, G., Hussein, M., Kulis, M., Delaloy, C., Chatonnet, F., Pignarre, A., Avner, S., Lemarié, M., Mahé, E. A., Verdaguer-Dot, N., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.09.051 · Cited by 81
Modeling cis-regulation with a compendium of genome-wide histone H3K27ac profilesPreprint
Wang, S., Zang, C., Xiao, T., Fan, J., Mei, S., Qin, Q., Wu, Q., Li, X., Xu, K., He, H. H., et al. (2016) · Genome Research · doi:10.1101/gr.201574.115 · Cited by 81
Moudgil, A., Wilkinson, M., Chen, X., He, J., Cammack, A. J., Vasek, M. J., Lagunas, T., Qi, Z., Lalli, M. A., Guo, C., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.037 · Cited by 80
Ollikainen, M., Ismail, K., Gervin, K., Kyllönen, A., Hakkarainen, A., Lundbom, J., Järvinen, E., Harris, J. R., Lundbom, N. M. I., Rissanen, A., et al. (2015) · Clinical Epigenetics · doi:10.1186/s13148-015-0073-5 · Cited by 80
Li, R., Grimm, S. A., Chrysovergis, K., Kosak, J. P., Wang, X., Du, Y., Burkholder, A., Janardhan, K. S., Mav, D., Shah, R., et al. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.03.012 · Cited by 80
Genomic organization of human transcription initiation complexes
Venters, B. J., & Pugh, B. F. (2013) · Nature · doi:10.1038/nature12535 · Cited by 79
RetractedO’Geen, H., Tomková, M., Combs, J. A., Tilley, E., & Segal, D. J. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac123 · Cited by 81
UV‐Induced DNA Damage and Mutagenesis in Chromatin
Mao, P., Wyrick, J. J., Roberts, S. A., & Smerdon, M. J. (2016) · Photochemistry and Photobiology · doi:10.1111/php.12646 · Cited by 79
Widespread Enhancer Activity from Core Promoters
Medina-Rivera, A., Santiago-Algarra, D., Puthier, D., & Spicuglia, S. (2018) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2018.03.004 · Cited by 78
Early environmental factors, alteration of epigenetic marks and metabolic disease susceptibility
Portha, B., Fournier, A., Kioon, M. D. A., Mezger, V., & Movassat, J. (2013) · Biochimie · doi:10.1016/j.biochi.2013.10.003 · Cited by 79
The chromatin signatures of enhancers and their dynamic regulation
Barral, A., & Déjardin, J. (2023) · Nucleus · doi:10.1080/19491034.2022.2160551 · Cited by 78
Application of the Protein Semisynthesis Strategy to the Generation of Modified Chromatin
Holt, M. T., & Muir, T. W. (2015) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-060614-034429 · Cited by 80
Spatiotemporal clustering of the epigenome reveals rules of dynamic gene regulationPreprint
Yu, P., Shu Dong, X. I. A. O., Xin, X., Song, C., Huang, W., McDee, D., Tanaka, T. S., Wang, T., He, C., & Zhong, S. (2012) · Genome Research · doi:10.1101/gr.144949.112 · Cited by 78
Tadros, R., Zheng, S. L., Grace, C., Jordà, P., Francis, C., West, D. M., Jurgens, S. J., Thomson, K. L., Harper, A. R., Ormondroyd, E., et al. (2025) · Nature Genetics · doi:10.1038/s41588-025-02087-4 · Cited by 82
An improved predictive recognition model for Cys2-His2 zinc finger proteins
Gupta, A., Christensen, R. G., Bell, H. A., Goodwin, M. J., Patel, R. Y., Pandey, M., Enuameh, M. S., Rayla, A. L., Zhu, C., Thibodeau-Beganny, S., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku132 · Cited by 77
EpiExplorer: live exploration and global analysis of large epigenomic datasets
Halachev, K., Bast, H., Albrecht, F., Lengauer, T., & Bock, C. (2012) · Genome biology · doi:10.1186/gb-2012-13-10-r96 · Cited by 77
Carty, C. L., Spencer, K. L., Setiawan, V. W., Fernández‐Rhodes, L., Malinowski, J. R., Buyske, S. G., Young, A., Jorgensen, N. W., Cheng, I. C., Carlson, C., et al. (2013) · Human Reproduction · doi:10.1093/humrep/det071 · Cited by 77
Ponnaluri, V. K. C., Ehrlich, K. C., Zhang, G., Lacey, M. R., Johnston, D. A., Pradhan, S., & Ehrlich, M. (2016) · Epigenetics · doi:10.1080/15592294.2016.1265713 · Cited by 77
Krause, M. D., Huang, R., Wu, D., Shentu, T., Harrison, D. L., Whalen, M. B., Stolze, L. K., Rienzo, A. D., Moskowitz, I. P. G., Civelek, M., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1810568115 · Cited by 77
Maity, J., Deb, M., Greene, C. J., & Das, H. (2020) · Redox Biology · doi:10.1016/j.redox.2020.101622 · Cited by 76
Genetic impacts on DNA methylation help elucidate regulatory genomic processes
Villicaña, S., Fernandez, J. C., Hannon, E. J., Christiansen, C., Tsai, P.-C., Maddock, J., Kuh, D. J., Suderman, M. J., Power, C., Relton, C. L., et al. (2023) · Genome biology · doi:10.1186/s13059-023-03011-x · Cited by 76
Analysis of chromatin-state plasticity identifies cell-type–specific regulators of H3K27me3 patterns
Pinello, L., Xu, J., Orkin, S. H., & Yuan, G. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1322570111 · Cited by 76
Kang, S., Tsai, L. T.-Y., Zhou, Y., Evertts, A. G., Xu, S., Griffin, M. J., Issner, R., Whitton, H. J., Garcia, B. A., Epstein, C. B., et al. (2014) · Nature Cell Biology · doi:10.1038/ncb3080 · Cited by 76
Self-citationContrastive Learning Using Spectral Methods
Zou, J., Hsu, D., Parkes, D. C., & Adams, R. P. (2013) · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · Cited by 76
Begum, G., Davies, A., Stevens, A., Oliver, M. H., Jaquiery, A. L., Challis, J. R. G., Harding, J. E., Bloomfield, F. H., & White, A. E. (2013) · Endocrinology · doi:10.1210/en.2013-1693 · Cited by 76
Metadata
- Authors
- Ernst, J., Kheradpour, P., Mikkelsen, T. S., Shoresh, N., Ward, L. D., Epstein, C. B., Zhang, X., Wang, L., Issner, R., Coyne, M., Ku, M., Durham, T., Kellis, M., & Bernstein, B. E.
- Affiliations
- Broad Institute (US)
- Corresponding author
- Kellis, Manolis
- ORCID
- Venue
- Nature
- Published
- 2011-03-23
- Volume
- 473
- Issue
- 7345
- Pages
- 43-49
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3088773
- OpenAlex
- W2117792884
- Cited by
- 2,898
- References
- 67
- Citations by year
- 2026: 47 · 2025: 62 · 2024: 109 · 2023: 130 · 2022: 141 · 2021: 179 · 2020: 203 · 2019: 191 · 2018: 216 · 2017: 237 · 2016: 237 · 2015: 306 · 2014: 260 · 2013: 287 · 2012: 225
- FWCI
- 108.00
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- eScholarship (California Digital Library) (submittedVersion)
- PubMed Central
- Funders
- Howard Hughes Medical Institute
- Broad Institute
- National Institutes of Health (5u54hg004570-04)
- National Human Genome Research Institute (RC1HG005334, U54-HG004570, R01HG004037)
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- histone modifications, cell type-specific chromatin, enhancers, promoter, insulators, cis-regulatory elements, transcriptional activators and repressors, genome-wide association study, human cell types
- MeSH terms
- Binding Sites, Cell Line, Cell Physiological Phenomena, Cells, Cultured, Chromatin, Chromosome Mapping, Gene Expression Regulation, Humans, Promoter Regions, Genetic, Transcription Factors, Reproducibility of Results, Genome, Human, Cell Line, Tumor, Hep G2 Cells
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