The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
The accessible chromatin landscape of the human genome
Open accessAbstract
DNase I hypersensitive sites (DHSs) are markers of regulatory DNA and have underpinned the discovery of all classes of cis-regulatory elements including enhancers, promoters, insulators, silencers and locus control regions. Here we present the first extensive map of human DHSs identified through genome-wide profiling in 125 diverse cell and tissue types. We identify ∼2.9 million DHSs that encompass virtually all known experimentally validated cis-regulatory sequences and expose a vast trove of novel elements, most with highly cell-selective regulation. Annotating these elements using ENCODE data reveals novel relationships between chromatin accessibility, transcription, DNA methylation and regulatory factor occupancy patterns. We connect ∼580,000 distal DHSs with their target promoters, revealing systematic pairing of different classes of distal DHSs and specific promoter types. Patterning of chromatin accessibility at many regulatory regions is organized with dozens to hundreds of co-activated elements, and the transcellular DNase I sensitivity pattern at a given region can predict cell-type-specific functional behaviours. The DHS landscape shows signatures of recent functional evolutionary constraint. However, the DHS compartment in pluripotent and immortalized cells exhibits higher mutation rates than that in highly differentiated cells, exposing an unexpected link between chromatin accessibility, proliferative potential and patterns of human variation. An extensive map of human DNase I hypersensitive sites, markers of regulatory DNA, in 125 diverse cell and tissue types is described; integration of this information with other ENCODE-generated data sets identifies new relationships between chromatin accessibility, transcription, DNA methylation and regulatory factor occupancy patterns. This paper describes the first extensive map of human DNaseI hypersensitive sites — markers of regulatory DNA — in 125 diverse cell and tissue types. Integration of this information with other data sets generated by ENCODE (Encyclopedia of DNA Elements) identified new relationships between chromatin accessibility, transcription, DNA methylation and regulatory-factor occupancy patterns. Evolutionary-conservation analysis revealed signatures of recent functional constraint within DNaseI hypersensitive sites.
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
“Assisted loading events are coupled with increases in enhancer activity as measured by DNase hypersensitivity or H3K27 acetylation (H3K27ac), two well-established markers for active enhancers38–40.”
From Synergistic gene expression during the acute phase response is characterized by transcription factor assisted loading (2017) · cites this paper as [40]
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
“According to recent estimates, the number of enhancers in the human genome ranges from 400,000 to 1,000,000 [22,23].”
From Enhancer Function in the 3D Genome (2023) · cites this paper as [23]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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 [45]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“most genetic variation that contributes to common psychiatric disorders is not in protein-coding regions”
From Defining the genetic, genomic, cellular, and diagnostic architectures of psychiatric disorders (2019) · cites this paper as Thurman et al., 2012
Experimental — accuracy not yet measuredIn the citing paper
“Thus, methods that measure chromatin accessibility by combining sensitivity to enzymatic digestion with sequencing6–8 provide an integrated map of chromatin states that encompasses a diverse repertoire of functional regulatory elements2,5.”
From Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility (2019) · cites this paper as [2]
In the citing paper
“Both classical observations5 and recent genome-wide efforts2 have shown that active regulatory elements are canonically nucleosome free and accessible to transcriptional machinery.”
From Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility (2019) · cites this paper as [2]
In the citing paper
“We found that chromatin accessibility from bulk ATAC-seq8 and DNase-seq2 and the aggregate chromatin accessibility across the different single-cell technologies18,19,24,25 were highly correlated (Fig. 1c,d).”
From Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility (2019) · cites this paper as [2]
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
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-citationLandscape of transcription in human cells
Djebali, S., Davis, C. A., Merkel, A., Dobin, A., Lassmann, T., Mortazavi, A., Tanzer, A., Lagarde, J., Lin, W., Schlesinger, F., et al. (2012) · Nature · doi:10.1038/nature11233 · Cited by 5,187
Self-citationGENCODE: The reference human genome annotation for The ENCODE Project
Harrow, J., Frankish, A., Gonzalez, J. M., Tapanari, E., Diekhans, M., Kokocinski, F., Aken, B. L., Barrell, D., Zadissa, A., Searle, S., et al. (2012) · Genome Research · doi:10.1101/gr.135350.111 · Cited by 4,585
miRBase: tools for microRNA genomics
Griffiths‐Jones, S., Saini, H. K., van Dongen, S., & Enright, A. J. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm952 · Cited by 4,432
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
Heintzman, N. D., Stuart, R. K., Hon, G., Fu, Y., Ching, C. W., Hawkins, R. D., Barrera, L. O., Van Calcar, S., Qu, C., Ching, K. A., et al. (2007) · Nature Genetics · doi:10.1038/ng1966 · Cited by 3,398
Self-citationThe long-range interaction landscape of gene promoters
Sanyal, A., Lajoie, B. R., Jain, G., & Dekker, J. (2012) · Nature · doi:10.1038/nature11279 · Cited by 1,489
Self-citationHigh-Resolution Mapping and Characterization of Open Chromatin across the Genome
Boyle, A. P., Davis, S., Shulha, H. P., Meltzer, P., Margulies, E. H., Weng, Z., Furey, T. S., & Crawford, G. E. (2008) · Cell · doi:10.1016/j.cell.2007.12.014 · Cited by 1,415
Self-citationDNA-binding factors shape the mouse methylome at distal regulatory regions
Stadler, M. B., Murr, R., Burger, L., Ivanek, R., Lienert, F., Schöler, A., Nimwegen, E. V., Wirbelauer, C., Oakeley, E. J., Gaidatzis, D., et al. (2011) · Nature · doi:10.1038/nature10716 · Cited by 1,383
An Extended Transcriptional Network for Pluripotency of Embryonic Stem Cells
Kim, J., Chu, J., Shen, X., Wang, J., & Orkin, S. H. (2008) · Cell · doi:10.1016/j.cell.2008.02.039 · Cited by 1,361
Cited by
Sorted by citations
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-citationRNA-Guided Human Genome Engineering via Cas9
Mali, P., Yang, L., Esvelt, K. M., Aach, J., Guell, M., DiCarlo, J. E., Norville, J. E., & Church, G. M. (2013) · Science · doi:10.1126/science.1232033 · Cited by 9,210
Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013) · Nature Methods · doi:10.1038/nmeth.2688 · Cited by 6,422
Integrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368
“(7) Conserved non-coding GERP elements obtained by subtracting parts of the above mentioned GERP elements that overlap exons.”
BackgroundSelf-citationLandscape of transcription in human cells
Djebali, S., Davis, C. A., Merkel, A., Dobin, A., Lassmann, T., Mortazavi, A., Tanzer, A., Lagarde, J., Lin, W., Schlesinger, F., et al. (2012) · Nature · doi:10.1038/nature11233 · Cited by 5,187
Self-citationMaster 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
Systematic Localization of Common Disease-Associated Variation in Regulatory DNA
Maurano, M. T., Humbert, R., Rynes, E., Thurman, R. E., Haugen, E., Wang, H., Reynolds, A. P., Sandstrom, R., Qu, H., Brody, J., et al. (2012) · Science · doi:10.1126/science.1222794 · Cited by 3,716
Self-citationCRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes
Gilbert, L. A., Larson, M. H., Morsut, L., Liu, Z., Brar, G. A., Torres, S. E., Stern-Ginossar, N., Brandman, O., Whitehead, E. H., Doudna, J. A., et al. (2013) · Cell · doi:10.1016/j.cell.2013.06.044 · Cited by 3,696
“The recently published genome-widemaps of chromatin structure can inform where one targets dCas9 for both transcription repression and activation (Thurman et al., 2012).”
BackgroundSuper-enhancers in the control of cell identity and disease
Hnisz, D., Abraham, B. J., Lee, T. I., Lau, A., Saint-André, V., Sigova, A. A., Hoke, H. A., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.09.053 · Cited by 3,662
ATAC-seq: a method for assaying chromatin accessibility genome-wide
Buenrostro, J. D., Wu, B., Chang, H. Y., & Greenleaf, W. J. (2015) · Current Protocols in Molecular Biology · doi:10.1002/0471142727.mb2129s109 · Cited by 3,289
An atlas of active enhancers across human cell types and tissues
The FANTOM Consortium, Andersson, R., Gebhard, C., Miguel-Escalada, I., Hoof, I., Bornholdt, J., Boyd, M., Chen, Y., Zhao, X., Schmidl, C., et al. (2014) · Nature · doi:10.1038/nature12787 · Cited by 2,550
Long non-coding RNAs: definitions, functions, challenges and recommendations
Mattick, J. S., Amaral, P., Carninci, P., Carpenter, S. B., Chang, H. Y., Chen, L., Chen, R., Dean, C., Dinger, M. E., Fitzgerald, K. A., et al. (2023) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00566-8 · Cited by 2,509
Expanded encyclopaedias of DNA elements in the human and mouse genomes
The ENCODE Project Consortium, Abascal, F., Acosta, R., Addleman, N. J., Adrian, J., Afzal, V., Ai, R., Aken, B., Akiyama, J. A., Jammal, O. A., et al. (2020) · Nature · doi:10.1038/s41586-020-2493-4 · Cited by 2,378
Self-citationSingle-cell chromatin accessibility reveals principles of regulatory variation
Buenrostro, J. D., Wu, B., Litzenburger, U. M., Ruff, D., Gonzales, M. L., Snyder, M. P., Chang, H. Y., & Greenleaf, W. J. (2015) · Nature · doi:10.1038/nature14590 · Cited by 2,308
Genome-wide association studies
Uffelmann, E., Huang, Q. Q., Munung, N. S., de Vries, J., Okada, Y., Martin, A. R., Martin, H. C., Lappalainen, T., & Posthuma, D. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00056-9 · Cited by 1,849
Global epigenomic reconfiguration during mammalian brain development
Lister, R., Mukamel, E. A., Nery, J. R., Urich, M., Puddifoot, C. A., Johnson, N. D., Lucero, J., Huang, Y., Dwork, A. J., Schultz, M. D., et al. (2013) · Science · doi:10.1126/science.1237905 · Cited by 1,830
Chromatin accessibility and the regulatory epigenome
Klemm, S. L., Shipony, Z., & Greenleaf, W. J. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-018-0089-8 · Cited by 1,793
A comparative encyclopedia of DNA elements in the mouse genome
Yue, F., Cheng, Y., Breschi, A., Vierstra, J., Wu, W., Ryba, T., Sandstrom, R., Ma, Z., Davis, C., Pope, B. D., et al. (2014) · Nature · doi:10.1038/nature13992 · Cited by 1,781
Self-citationEpigenetic programming of monocyte-to-macrophage differentiation and trained innate immunity
Saeed, S., Quintin, J., Kerstens, H. H. D., Rao, N. A., Aghajanirefah, A., Matarese, F., Cheng, S.-C., Ratter, J., Berentsen, K., van der Ent, M. A., et al. (2014) · Science · doi:10.1126/science.1251086 · Cited by 1,761
chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data
Schep, A. N., Wu, B., Buenrostro, J. D., & Greenleaf, W. J. (2017) · Nature Methods · doi:10.1038/nmeth.4401 · Cited by 1,680
Transcriptional Regulation and Its Misregulation in Disease
Lee, T. I., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.02.014 · Cited by 1,676
Chromatin architecture reorganization during stem cell differentiation
Dixon, J. R., Jung, I., Selvaraj, S., Shen, Y., Antosiewicz-Bourget, J. E., Lee, A. Y., Ye, Z., Kim, A., Rajagopal, N., Xie, W., et al. (2015) · Nature · doi:10.1038/nature14222 · Cited by 1,646
Cistrome and Epicistrome Features Shape the Regulatory DNA Landscape
O’Malley, R. C., Huang, S. C., Song, L., Lewsey, M. G., Bartlett, A., Nery, J. R., Galli, M., Gallavotti, A., & Ecker, J. R. (2016) · Cell · doi:10.1016/j.cell.2016.04.038 · Cited by 1,612
Self-citationThe CRISPR tool kit for genome editing and beyond
Adli, M. (2018) · Nature Communications · doi:10.1038/s41467-018-04252-2 · Cited by 1,545
Genome-wide association analysis identifies 13 new risk loci for schizophrenia
Multicenter Genetic Studies of Schizophrenia Consortium, Ripke, S., Psychosis Endophenotypes International Consortium, Wellcome Trust Case Control Consortium 2, O'Dushlaine, C., Chambert, K., Moran, J. L., Kähler, A. K., Akterin, S., Bergen, S. E., et al. (2013) · Nature Genetics · doi:10.1038/ng.2742 · Cited by 1,496
The long-range interaction landscape of gene promoters
Sanyal, A., Lajoie, B. R., Jain, G., & Dekker, J. (2012) · Nature · doi:10.1038/nature11279 · Cited by 1,489
Self-citationPidsley, R., Zotenko, E., Peters, T. J., Lawrence, M. G., Risbridger, G. P., Molloy, P., Van Djik, S., Muhlhausler, B., Stirzaker, C., & Clark, S. J. (2016) · Genome biology · doi:10.1186/s13059-016-1066-1 · Cited by 1,480
Modification of Enhancer Chromatin: What, How, and Why?
Calo, E., & Wysocka, J. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.01.038 · Cited by 1,457
Khan, A., Fornés, O., Stigliani, A., Gheorghe, M., Castro-Mondragon, J. A., van der Lee, R., Bessy, A., Chèneby, J., Kulkarni, S. R., Tan, G., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1126 · Cited by 1,457
Self-citationHigh-Throughput Sequencing Technologies
Reuter, J., Spacek, D. V., & Snyder, M. P. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.05.004 · Cited by 1,404
ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis
Granja, J. M., Corces, M. R., Pierce, S. E., Bagdatli, S. T., Choudhry, H., Chang, H. Y., & Greenleaf, W. J. (2021) · Nature Genetics · doi:10.1038/s41588-021-00790-6 · Cited by 1,392
Charting a dynamic DNA methylation landscape of the human genome
Ziller, M. J., Gu, H., Müller, F., Donaghey, J., Tsai, L. T.-Y., Kohlbacher, O., De Jager, P. L., Rosen, E. D., Bennett, D. A., Bernstein, B. E., et al. (2013) · Nature · doi:10.1038/nature12433 · Cited by 1,357
Transcriptional enhancers: from properties to genome-wide predictions
Shlyueva, D., Stampfel, G., & Stark, A. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3682 · Cited by 1,356
Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexing
Cusanovich, D. A., Daza, R., Adey, A., Pliner, H. A., Christiansen, L., Gunderson, K. L., Steemers, F. J., Trapnell, C., & Shendure, J. (2015) · Science · doi:10.1126/science.aab1601 · Cited by 1,248
The chromatin accessibility landscape of primary human cancers
Corces, M. R., Granja, J. M., Shams, S., Louie, B. H., Seoane, J. A., Zhou, W., Silva, T. C., Groeneveld, C., Wong, C. K., Cho, S. W., et al. (2018) · Science · doi:10.1126/science.aav1898 · Cited by 1,230
Self-citationA high-resolution map of the three-dimensional chromatin interactome in human cells
Jin, F., Li, Y., Dixon, J. R., Selvaraj, S., Ye, Z., Lee, A. Y., Yen, C.-A., Schmitt, A. D., Espinoza, C. A., & Ren, B. (2013) · Nature · doi:10.1038/nature12644 · Cited by 1,208
Cyclic Decidualization of the Human Endometrium in Reproductive Health and Failure
Gellersen, B., & Brosens, J. J. (2014) · Endocrine Reviews · doi:10.1210/er.2014-1045 · Cited by 1,176
The STAT3-Binding Long Noncoding RNA lnc-DC Controls Human Dendritic Cell Differentiation
Wang, P., Xue, Y., Han, Y., Li, L., Wu, C., Xu, S., Jiang, Z., Xu, J., Liu, Q., & Cao, X. (2014) · Science · doi:10.1126/science.1251456 · Cited by 1,108
Genome Regulation by Polycomb and Trithorax: 70 Years and Counting
Schuettengruber, B., Bourbon, H.-M., Di Croce, L., & Cavalli, G. (2017) · Cell · doi:10.1016/j.cell.2017.08.002 · Cited by 1,094
Exploring the three-dimensional organization of genomes: Interpreting chromatin interaction data
Dekker, J., Marti-Renom, M. A., & Mirny, L. A. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3454 · Cited by 1,068
Self-citationKelley, D. R., Snoek, J., & Rinn, J. L. (2016) · Genome Research · doi:10.1101/gr.200535.115 · Cited by 1,048
The role of regulatory variation in complex traits and disease
Albert, F. W., & Kruglyak, L. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3891 · Cited by 1,047
Thakore, P. I., D'Ippolito, A. M., Song, L., Safi, A., Shivakumar, N. K., Kabadi, A. M., Reddy, T. E., Crawford, G. E., & Gersbach, C. A. (2015) · Nature Methods · doi:10.1038/nmeth.3630 · Cited by 1,012
Self-citationThe selection and function of cell type-specific enhancers
Heinz, S., Romanoski, C. E., Benner, C., & Glass, C. K. (2015) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3949 · Cited by 1,010
Mapping long-range promoter contacts in human cells with high-resolution capture Hi-C
Mifsud, B., Tavares-Cadete, F., Young, A. N., Sugar, R., Schoenfelder, S., Ferreira, L., Wingett, S. W., Andrews, S., Grey, W., Ewels, P. A., et al. (2015) · Nature Genetics · doi:10.1038/ng.3286 · Cited by 990
G-quadruplex structures mark human regulatory chromatin
Hänsel-Hertsch, R., Beraldi, D., Lensing, S. V., Marsico, G., Zyner, K., Parry, A., Di Antonio, M., Pike, J., Kimura, H., Narita, M., et al. (2016) · Nature Genetics · doi:10.1038/ng.3662 · Cited by 964
Chromatin-state discovery and genome annotation with ChromHMM
Ernst, J., & Kellis, M. (2017) · Nature Protocols · doi:10.1038/nprot.2017.124 · Cited by 905
BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis
Canver, M. C., Smith, E. C., Sher, F., Pinello, L., Sanjana, N. E., Shalem, O., Chen, D. D., Schupp, P. G., Vinjamur, D. S., Garcia, S. P., et al. (2015) · Nature · doi:10.1038/nature15521 · Cited by 886
Kadoch, C., & Crabtree, G. R. (2015) · Science Advances · doi:10.1126/sciadv.1500447 · Cited by 877
Shen, L., Shao, N., Liu, X., & Nestler, E. J. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-284 · Cited by 866
Furey, T. S. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3306 · Cited by 855
Self-citationZhong, S., Fei, Z., Chen, Y.-R., Zheng, Y., Huang, M., Vrebalov, J., McQuinn, R. P., Gapper, N. E., Liu, B., Xiang, J., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2462 · Cited by 851
Cicero predicts cis-regulatory DNA interactions from single-cell chromatin accessibility data
Pliner, H. A., Packer, J. S., McFaline-Figueroa, J. L., Cusanovich, D. A., Daza, R. M., Aghamirzaie, D., Srivatsan, S., Qiu, X., Jackson, D., Minkina, A., et al. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.06.044 · Cited by 789
Pott, S., & Lieb, J. D. (2014) · Nature Genetics · doi:10.1038/ng.3167 · Cited by 786
Self-citationChromatin state dynamics during blood formation
Lara-Astiaso, D., Weiner, A., Lorenzo-Vivas, E., Zaretsky, I., Jaitin, D. A., David, E., Keren-Shaul, H., Mildner, A., Winter, D., Jung, S., et al. (2014) · Science · doi:10.1126/science.1256271 · Cited by 776
An atlas of genetic influences on osteoporosis in humans and mice
23andMe Research Team, Morris, J. A., Kemp, J. P., Youlten, S. E., Laurent, L., Logan, J. G., Chai, R. C., Vulpescu, N. A., Forgetta, V., Kleinman, A., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0302-x · Cited by 773
Self-citationDNA-binding specificities of plant transcription factors and their potential to define target genes
Franco‐Zorrilla, J. M., López‐Vidriero, I., Carrasco, J. L., Godoy, M., Vera, P., & Solano, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316278111 · Cited by 761
An expansive human regulatory lexicon encoded in transcription factor footprints
Neph, S. J., Vierstra, J. D., Stergachis, A. B., Reynolds, A. P., Haugen, E., Vernot, B., Thurman, R. E., John, S., Sandstrom, R. S., Johnson, A., et al. (2012) · Nature · doi:10.1038/nature11212 · Cited by 760
Self-citationA Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility
Cusanovich, D. A., Hill, A. J., Aghamirzaie, D., Daza, R. M., Pliner, H. A., Berletch, J. B., Filippova, G. N., Huang, X., Christiansen, L., DeWitt, W. S., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.052 · Cited by 759
Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain
Mo, A., Mukamel, E. A., Davis, F. P., Luo, C., Henry, G. L., Picard, S., Urich, M. A., Nery, J. R., Sejnowski, T. J., Lister, R., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.018 · Cited by 739
Determinants of enhancer and promoter activities of regulatory elements
Andersson, R., & Sandelin, A. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-019-0173-8 · Cited by 713
A Single Oncogenic Enhancer Rearrangement Causes Concomitant EVI1 and GATA2 Deregulation in Leukemia
Gröschel, S., Sanders, M. A., Hoogenboezem, R., de Wit, E., Bouwman, B. A. M., Erpelinck, C., van der Velden, V. H. J., Havermans, M., Avellino, R., van Lom, K., et al. (2014) · Cell · doi:10.1016/j.cell.2014.02.019 · Cited by 687
Kapusta, A., Kronenberg, Z., Lynch, V. J., Zhuo, X., Ramsay, L., Bourque, G., Yandell, M., & Feschotte, C. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003470 · Cited by 687
Kaikkonen, M. U., Spann, N. J., Heinz, S., Romanoski, C. E., Allison, K. A., Stender, J. D., Chun, H. B., Tough, D. F., Prinjha, R. K., Benner, C., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.07.010 · Cited by 672
Genome-wide enhancer maps link risk variants to disease genes
Nasser, J., Bergman, D. T., Fulco, C. P., Guckelberger, P., Doughty, B. R., Patwardhan, T. A., Jones, T. R., Nguyen, T. H., Ulirsch, J. C., Lekschas, F., et al. (2021) · Nature · doi:10.1038/s41586-021-03446-x · Cited by 669
Clark, S. J., Argelaguet, R., Kapourani, C.-A., Stubbs, T. M., Lee, H. J., Alda-Catalinas, C., Krueger, F., Sanguinetti, G., Kelsey, G., Marioni, J. C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03149-4 · Cited by 657
PPARγ and the global map of adipogenesis and beyond
Lefterova, M. I., Haakonsson, A. K., Lazar, M. A., & Mandrup, S. (2014) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2014.04.001 · Cited by 656
An Erythroid Enhancer of BCL11A Subject to Genetic Variation Determines Fetal Hemoglobin Level
Bauer, D. E., Kamran, S. C., Lessard, S., Xu, J., Fujiwara, Y., Lin, C., Shao, Z., Canver, M. C., Smith, E. C., Pinello, L., et al. (2013) · Science · doi:10.1126/science.1242088 · Cited by 653
Self-citationTranscription factors as readers and effectors of DNA methylation
Zhu, H., Wang, G., & Qian, J. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.83 · Cited by 649
Systematic mapping of functional enhancer–promoter connections with CRISPR interference
Fulco, C. P., Munschauer, M., Anyoha, R., Munson, G., Grossman, S. R., Perez, E. M., Kane, M., Cleary, B., Lander, E. S., & Engreitz, J. M. (2016) · Science · doi:10.1126/science.aag2445 · Cited by 643
Pioneer transcription factors in cell reprogrammingPreprint
Iwafuchi, M., & Zaret, K. S. (2014) · Genes & Development · doi:10.1101/gad.253443.114 · Cited by 613
Ghoussaini, M., Mountjoy, E., Carmona, M., Peat, G., Schmidt, E. M., Hercules, A., Fumis, L., Miranda, A., Carvalho‐Silva, D., Buniello, A., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa840 · Cited by 593
Widespread plasticity in CTCF occupancy linked to DNA methylation
Wang, H., Maurano, M. T., Qu, H., Varley, K. E., Gertz, J., Pauli, F., Lee, K., Canfield, T., Weaver, M., Sandstrom, R., et al. (2012) · Genome Research · doi:10.1101/gr.136101.111 · Cited by 588
“…factor binding sites appear to be generally depleted for DNA methylation (Mukhopadhyay et al. 2004; Lister et al. 2009; Thurman et al. 2012) and that binding sites recognized by certain sequence-specific factors have been associated with lack of methylation (Straussman…”
Self-citationChromosome conformation elucidates regulatory relationships in developing human brain
Won, H., de la Torre-Ubieta, L., Stein, J. L., Parikshak, N. N., Huang, J., Opland, C. K., Gandal, M. J., Sutton, G. J., Hormozdiari, F., Lu, D., et al. (2016) · Nature · doi:10.1038/nature19847 · Cited by 584
Mountjoy, E., Schmidt, E. M., Carmona, M., Schwartzentruber, J., Peat, G., Miranda, A., Fumis, L., Hayhurst, J., Buniello, A., Karim, M. A., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00945-5 · Cited by 581
Mei, S., Qin, Q., Wu, Q., Sun, H., Zheng, R., Zang, C., Zhu, M., Wu, J., Shi, X., Taing, L., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw983 · Cited by 581
The interplay of epigenetic marks during stem cell differentiation and development
Atlasi, Y., & Stunnenberg, H. G. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2017.57 · Cited by 583
Measuring biological age using omics data
Rutledge, J., Oh, H., & Wyss-Coray, T. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00511-7 · Cited by 570
Schubert, M., Ermini, L., Sarkissian, C. D., Jónsson, H., Ginolhac, A., Schaefer, R., Martin, M. D., Fernández, R., Kircher, M., McCue, M., et al. (2014) · Nature Protocols · doi:10.1038/nprot.2014.063 · Cited by 562
Wang, Y., Song, F., Zhang, B., Zhang, L., Xu, J., Kuang, D., Li, D., Choudhary, M. N. K., Li, Y., Hu, M., et al. (2018) · Genome biology · doi:10.1186/s13059-018-1519-9 · Cited by 559
Cell-of-origin chromatin organization shapes the mutational landscape of cancer
Polak, P., Karlić, R., Koren, A., Thurman, R., Sandstrom, R., Lawrence, M. S., Reynolds, A., Rynes, E., Vlahoviček, K., Stamatoyannopoulos, J. A., et al. (2015) · Nature · doi:10.1038/nature14221 · Cited by 557
Self-citationTeschendorff, A. E., Breeze, C. E., Zheng, S., & Beck, S. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1511-5 · Cited by 555
Rivera, C. M., & Ren, B. (2013) · Cell · doi:10.1016/j.cell.2013.09.011 · Cited by 550
Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases
Gusev, A., Lee, S. H., Trynka, G., Finucane, H., Vilhjálmsson, B. J., Xu, H., Zang, C., Ripke, S., Bulik-Sullivan, B., Stahl, E., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.10.004 · Cited by 544
Absence of a simple code: how transcription factors read the genome
Slattery, M., Zhou, T., Yang, L., Dantas Machado, A. C., Gordân, R., & Rohs, R. (2014) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2014.07.002 · Cited by 537
Functions and mechanisms of epigenetic inheritance in animals
Skvortsova, K., Iovino, N., & Bogdanović, O. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0074-2 · Cited by 533
Guo, S., Diep, D. H., Plongthongkum, N., Fung, H.-L., Zhang, K., & Zhang, K. (2017) · Nature Genetics · doi:10.1038/ng.3805 · Cited by 528
Joint Analysis of Functional Genomic Data and Genome-wide Association Studies of 18 Human Traits
Pickrell, J. K. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.03.004 · Cited by 526
Topology of mammalian developmental enhancers and their regulatory landscapes
de Laat, W., & Duboule, D. (2013) · Nature · doi:10.1038/nature12753 · Cited by 521
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Koh, P. W., Sagawa, S., Marklund, H., Xie, S. M., Zhang, M., Balsubramani, A., Hu, W., Yasunaga, M., Phillips, R. L., Gao, I., et al. (2020) · arXiv · doi:10.48550/arxiv.2012.07421 · Cited by 518
ChIPmentation: fast, robust, low-input ChIP-seq for histones and transcription factors
Schmidl, C., Rendeiro, A. F., Sheffield, N. C., & Bock, C. (2015) · Nature Methods · doi:10.1038/nmeth.3542 · Cited by 509
Self-citationGene regulatory network inference in the era of single-cell multi-omics
Badia-i-Mompel, P., Wessels, L., Müller‐Dott, S., Trimbour, R., Flores, R. O. R., Argelaguet, R., & Sáez-Rodríguez, J. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00618-5 · Cited by 507
Dynamic regulation of transcriptional states by chromatin and transcription factors
Voss, T. C., & Hager, G. L. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3623 · Cited by 504
Histone modifications for human epigenome analysis
Kimurâ, H. (2013) · Journal of Human Genetics · doi:10.1038/jhg.2013.66 · Cited by 499
From reads to insight: a hitchhiker’s guide to ATAC-seq data analysis
Yan, F., Powell, D., Curtis, D. J., & Wong, N. C. (2020) · Genome biology · doi:10.1186/s13059-020-1929-3 · Cited by 487
Integrating Functional Data to Prioritize Causal Variants in Statistical Fine-Mapping Studies
Kichaev, G., Yang, W.-Y., Lindström, S., Hormozdiari, F., Eskin, E., Price, A. L., Kraft, P. L., & Paşaniuc, B. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004722 · Cited by 486
Genome-wide analysis of noncoding regulatory mutations in cancer
Weinhold, N., Jacobsen, A., Schultz, N., Sander, C., & Lee, W. (2014) · Nature Genetics · doi:10.1038/ng.3101 · Cited by 484
Epigenetic memory at embryonic enhancers identified in DNA methylation maps from adult mouse tissues
Hon, G. C., Rajagopal, N., Shen, Y., McCleary, D. F., Yue, F., Dang, M. D., & Ren, B. (2013) · Nature Genetics · doi:10.1038/ng.2746 · Cited by 477
Foxp3 Exploits a Pre-Existent Enhancer Landscape for Regulatory T Cell Lineage Specification
Samstein, R. M., Arvey, A., Josefowicz, S. Z., Peng, X., Reynolds, A., Sandstrom, R., Neph, S., Sabo, P., Kim, J. M., Liao, W., et al. (2012) · Cell · doi:10.1016/j.cell.2012.06.053 · Cited by 472
Self-citationChromatin accessibility: a window into the genome
Tsompana, M., & Buck, M. J. (2014) · Epigenetics & Chromatin · doi:10.1186/1756-8935-7-33 · Cited by 473
Metadata
- Authors
- Thurman, R. E., Rynes, E., Humbert, R., Vierstra, J., Maurano, M. T., Haugen, E., Sheffield, N. C., Stergachis, A. B., Wang, H., Vernot, B., Garg, K., John, S., Sandstrom, R., Bates, D., Boatman, L., Canfield, T. K., Diegel, M., Dunn, D., Ebersol, A. K., Frum, T., Giste, E., Johnson, A. K., Johnson, E. M., Kutyavin, T., Lajoie, B., Lee, B.-K., Lee, K., London, D., Lotakis, D., Neph, S., Neri, F., Nguyen, E. D., Qu, H., Reynolds, A. P., Roach, V., Safi, A., Sanchez, M. E., Sanyal, A., Shafer, A., Simon, J. M., Song, L., Vong, S., Weaver, M., Yan, Y., Zhang, Z., Zhang, Z., Lenhard, B., Tewari, M., Dorschner, M. O., Hansen, R. S., Navas, P. A., Stamatoyannopoulos, G., Iyer, V. R., Lieb, J. D., Sunyaev, S. R., Akey, J. M., Sabo, P. J., Kaul, R., Furey, T. S., Dekker, J., Crawford, G. E., & Stamatoyannopoulos, J. A.
- Affiliations
- University of Washington (US)
- Duke University (US)
- Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa (ZA)
- University of Massachusetts Chan Medical School (US)
- The University of Texas at Austin (US)
- Chinese Academy of Sciences (CN)
- University of North Carolina at Chapel Hill (US)
- University of Bergen (NO)
- Brigham and Women's Hospital (US)
- Corresponding author
- Stamatoyannopoulos, John A.
- ORCID
- Rynes, Eric
- Vierstra, Jeff
- Maurano, Matthew T.
- Haugen, Eric
- Sheffield, Nathan C.
- Stergachis, Andrew B.
- Vernot, Benjamin
- Garg, Kavita
- Sandstrom, Richard
- Bates, Daniel
- Frum, Tristan
- Lajoie, Bryan
- Lee, Bum-Kyu
- Lee, Kristen
- Lotakis, Dimitra
- Neph, Shane
- Qu, Hongzhu
- Reynolds, Alex P.
- Safi, Alexias
- Sanyal, Amartya
- Simon, Jeremy M.
- Song, Lingyun
- Zhang, Zhancheng
- Zhang, Zhuzhu
- Lenhard, Boris
- Tewari, Muneesh
- Iyer, Vishwanath R.
- Sunyaev, Shamil R.
- Akey, Joshua M.
- Sabo, Peter J.
- Kaul, Rajinder
- Furey, Terrence S.
- Dekker, Job
- Crawford, Gregory E.
- Stamatoyannopoulos, John A.
- Venue
- Nature
- Published
- 2012-09
- Volume
- 489
- Issue
- 7414
- Pages
- 75-82
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3721348
- OpenAlex
- W1964963969
- Cited by
- 2,679
- References
- 38
- Citations by year
- 2026: 81 · 2025: 97 · 2024: 119 · 2023: 140 · 2022: 170 · 2021: 218 · 2020: 192 · 2019: 199 · 2018: 227 · 2017: 238 · 2016: 238 · 2015: 247 · 2014: 242 · 2013: 235 · 2012: 31
- FWCI
- 96.99
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- UNC Libraries
- Funders
- National Science Foundation (HHSN261200800001E, DGE-0-718124, 0718124)
- Norges Forskningsråd
- National Institutes of Health (#HHSN261200800001E, 5u54hg004563-04, HG004563)
- National Institute of Mental Health (R01MH084676)
- National Human Genome Research Institute (U54‑HG004563, U54HG004592, HG004592, HG004563, R01HG003143)
- National Cancer Institute (HHSN261200800001E), P30CA016086)
- National Institute of General Medical Sciences (R01GM076036, GM076036)
- National Institute of Diabetes and Digestive and Kidney Diseases (F30DK095678)
- 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
- DNase I hypersensitive sites, chromatin accessibility, cis-regulatory elements, enhancers, promoter, insulators, silencers, locus control region, cell type-specific gene regulation, DNA methylation, transcription factor occupancy, evolutionary constraints, mutation rate, pluripotent cells, human diversity, ENCODE
- MeSH terms
- Chromatin, Deoxyribonuclease I, DNA, DNA-Binding Proteins, Encyclopedias as Topic, Humans, Promoter Regions, Genetic, Regulatory Sequences, Nucleic Acid, Transcription Factors, Transcription, Genetic, Genome, Human, DNA Footprinting, Evolution, Molecular, DNA Methylation, Genomics, Transcription Initiation Site, Molecular Sequence Annotation, Mutation Rate
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