Expanded encyclopaedias of DNA elements in the human and mouse genomes
Open accessAbstract
The human and mouse genomes contain instructions that specify RNAs and proteins and govern the timing, magnitude, and cellular context of their production. To better delineate these elements, phase III of the Encyclopedia of DNA Elements (ENCODE) Project has expanded analysis of the cell and tissue repertoires of RNA transcription, chromatin structure and modification, DNA methylation, chromatin looping, and occupancy by transcription factors and RNA-binding proteins. Here we summarize these efforts, which have produced 5,992 new experimental datasets, including systematic determinations across mouse fetal development. All data are available through the ENCODE data portal ( https://www.encodeproject.org ), including phase II ENCODE 1 and Roadmap Epigenomics 2 data. We have developed a registry of 926,535 human and 339,815 mouse candidate cis -regulatory elements, covering 7.9 and 3.4% of their respective genomes, by integrating selected datatypes associated with gene regulation, and constructed a web-based server (SCREEN; http://screen.encodeproject.org ) to provide flexible, user-defined access to this resource. Collectively, the ENCODE data and registry provide an expansive resource for the scientific community to build a better understanding of the organization and function of the human and mouse genomes.
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Enhancers can reside in a poised state exhibiting both H3K4me1 and H3K27me3 that is associated with Polycomb repressive complexes.
“In addition to the ‘primed’ and active states, enhancers can also reside in a ‘poised’ state exhibiting both H3K4me1 and H3 lysine 27 trimethylation (H3K27me3) that is associated with Polycomb repressive complexes [131, 135, 136, 138].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [131]
The paper’s Extended Data Fig. 3 caption describes a cCRE that may be a poised enhancer in embryonic stem cells, iPSCs and neural progenitor cells. It associates that example with high DNase and H3K4me3 signals, not the claimed combination of H3K4me1 and H3K27me3; the passages found also do not link poised enhancers to Polycomb repressive complexes. (LLM, conf=0.86)
Experimental — accuracy not yet measuredOpen chromatin regions are not limited to active enhancers, and also harbour active gene promoters, regulatory elements in a poised chromatin configuration, and some structural regions such as tissue-invariant binding sites for CTCF.
“However, open chromatin regions are not limited to active enhancers, and also harbour other regions including active gene promoters, regulatory elements in a ‘poised’ chromatin configuration (discussed below), as well as some structural regions such as tissue-invariant binding sites for the architectural protein CCCTC-binding factor (CTCF) [129–132].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [131]
The ‘A registry of DNA elements’ and ‘Groups based on function-associated signatures’ sections link accessible chromatin to active or poised regulatory elements and describe DNase-accessible, CTCF-bound sites with potential insulator or looping functions. The paper also distinguishes active promoter-like elements from enhancer-like elements. The passages found do not establish that the CTCF binding sites are tissue-invariant; no page number is available for these passages. (LLM, conf=0.84)
Experimental — accuracy not yet measuredEnhancers vastly outnumber promoters in human and mouse genomes, and promoters often contact more than one enhancer in the same cell type.
“Enhancers vastly outnumber promoters in human and mouse genomes [131], and consistently promoters often contact more than one enhancer in the same cell type [141, 243, 278, 279].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [131]
The paper’s cCRE classification reports that enhancer-like elements make up 87.4% of human cCREs, versus 3.7% classified as promoter-like (Interactive use of cCREs via SCREEN; page unavailable). It applies the classification to mouse as well, but the retrieved text does not give a comparable mouse breakdown. Citation [131] is attached only to the first clause; the statement about promoters contacting multiple enhancers has separate citations and is not assessed here. (LLM, conf=0.83)
Experimental — accuracy not yet measuredrs1057233 and rs78245530 reside in the candidate cis-regulatory element of SPI1.
“we found that rs1057233 and rs78245530 reside in the candidate cis-regulatory element of SPI1 as revealed by the SCREEN database (Fig. 2d) [34]”
From Association of SPI1 haplotypes with altered SPI1 gene expression and Alzheimer’s disease risk (2022) · cites this paper as [34]
Massively Parallel Reporter Assays have been established to directly test and identify active enhancers.
“new experimental approaches, such as Massively Parallel Reporter Assays (MPRAs), have been established to directly test and identify active enhancers14–18.”
From Enhancer grammar of liver cell types and hepatocyte zonation states (2022) · cites this paper as [18]
H3K4me3 is typically considered a promoter-associated mark and, in regions proximal to a known transcription start site, has been used to distinguish the enhancer from a promoter.
“In contrast, the trimethylation of histone H3 lysine 4 (H3K4me3) is typically considered a promoter-associated mark and, in regions proximal to a known TSS, has been used to distinguish the enhancer from a promoter [131].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [131]
An element might be classified as a promoter in the cell type-agnostic setting, but as a proximal enhancer-like element in a specific cell type.
“The ENCODE project, for instance, found that an element might be classified as a promoter in the cell type-agnostic setting, but as a proximal enhancer-like element in a specific cell type [131].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [131]
The 12K library included 795 shuffled regions as negative control and 360 positive controls that previously showed activity in HepG2 and have mouse orthologous regions accessible in mouse liver.
“Moreover, we included 795 shuffled regions as a negative control, and 360 positive controls that previously showed activity in HepG2, and for which a mouse orthologous region can be found that is also accessible in the mouse liver.”
From Single-cell spatial multi-omics and deep learning dissect enhancer-driven gene regulatory networks in liver zonation (2024) · cites this paper as [92]
The ‘Transposase accessible regions’ section describes accessible regions in mouse tissues, and ‘Test cCREs with transgenic mouse assays’ describes a different set of 151 tested regions. Neither identifies a 12K library or the claimed controls. Searches for 795, 360, HepG2, and the 12K library found no passage establishing their numbers or selection criteria. (LLM, conf=0.76)
Experimental — accuracy not yet measuredEach whole-genome alignment algorithm offers a unique approach and has specific strengths and weaknesses in computational efficiency, scalability, and alignment accuracy.
“Each algorithm offers a unique approach to WGA and has its specific strengths and weaknesses in terms of computational efficiency, scalability, and alignment accuracy [11].”
From Whole-Genome Alignment: Methods, Challenges, and Future Directions (2024) · cites this paper as [11]
The ATAC-seq and Uniform processing pipeline passages describe aligning sequencing reads with Bowtie2 and BWA, respectively. Neither compares whole-genome alignment algorithms or discusses their computational efficiency, scalability, and accuracy; searches for those terms and for algorithm strengths and weaknesses found no relevant passage. Page numbers were not provided in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measuredrs6024870 is located 19bp upstream of an ENCODE candidate cis-regulatory element (ID E2123559).
“Additionally, rs6024870 is located 19bp upstream of an ENCODE candidate cis-regulatory element (ID E2123559)49, further supporting its role as a microglia-specific enhancer.”
From Variant-to-function mapping of late-onset Alzheimer’s disease GWAS signals in human microglial cell models implicates <i>RTFDC1</i> at the <i>CASS4</i> locus (2024) · cites this paper as [49]
The registry section describes ENCODE candidate cis-regulatory elements, but our copy does not identify element E2123559 or place rs6024870 relative to it. Searches for both identifiers and the claimed 19-bp upstream relationship found no passage establishing that location. (LLM, conf=0.73)
Experimental — accuracy not yet measuredBulk epigenomics data from ENCODE was deconvolved into cell-type assignments using scRNA-seq, refining data annotation.
“Recently, part of its bulk epigenomics data was deconvolved into specific cell-type assignments using scRNA-seq149, which further refines the data annotation.”
From The technological landscape and applications of single-cell multi-omics (2023) · cites this paper as [149]
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References 71 · Cited by 2,378
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- Breschi, A., Gingeras, T. R. & Guigo, R. A limited set of transcriptional programs define major histological types and provide the molecular basis for a cellular taxonomy of the human body. Genome Res. (in the press).
- Authors
- 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., Amrhein, H., Anderson, S. M., Andrews, G. R., Antoshechkin, I., Ardlie, K. G., Armstrong, J., Astley, M., Banerjee, B., Barkal, A. A., Barnes, I. H. A., Barozzi, I., Barrell, D., Barson, G., Bates, D., Baymuradov, U. K., Bazile, C., Beer, M. A., Beik, S., Bender, M. A., Bennett, R., Bouvrette, L. P. B., Bernstein, B. E., Berry, A., Bhaskar, A., Bignell, A., Blue, S. M., Bodine, D. M., Boix, C., Boley, N., Borrman, T., Borsari, B., Boyle, A. P., Brandsmeier, L. A., Breschi, A., Bresnick, E. H., Brooks, J. A., Buckley, M., Burge, C. B., Byron, R., Cahill, E., Cai, L., Cao, L., Carty, M., Castanon, R. G., Castillo, A., Chaib, H., Chan, E. T., Chee, D. R., Chee, S., Chen, H., Chen, H., Chen, J.-Y., Chen, S., Cherry, J. M., Chhetri, S. B., Choudhary, J. S., Chrast, J., Chung, D., Clarke, D., Cody, N. A. L., Coppola, C. J., Coursen, J., D’Ippolito, A. M., Dalton, S., Danyko, C., Davidson, C., Davila-Velderrain, J., Davis, C. A., Dekker, J., Deran, A., DeSalvo, G., Despacio-Reyes, G., Dewey, C. N., Dickel, D. E., Diegel, M., Diekhans, M., Dileep, V., Ding, B., Djebali, S., Dobin, A., Dominguez, D., Donaldson, S., Drenkow, J., Dreszer, T. R., Drier, Y., Duff, M. O., Dunn, D., Eastman, C., Ecker, J. R., Edwards, M. D., El-Ali, N., Elhajjajy, S. I., Elkins, K., Emili, A., Epstein, C. B., Evans, R. C., Ezkurdia, I., Fan, K., Farnham, P. J., Farrell, N. P., Feingold, E. A., Ferreira, A.-M., Fisher-Aylor, K., Fitzgerald, S., Flicek, P., Foo, C. S., Fortier, K., Frankish, A., Freese, P., Fu, S., Fu, X.-D., Fu, Y., Fukuda-Yuzawa, Y., Fulciniti, M., Funnell, A. P. W., Gabdank, I., Galeev, T., Gao, M., Giron, C. G., Garvin, T. H., Gelboin-Burkhart, C. A., Georgolopoulos, G., Gerstein, M. B., Giardine, B. M., Gifford, D. K., Gilbert, D. M., Gilchrist, D. A., Gillespie, S., Gingeras, T. R., Gong, P., Gonzalez, A., Gonzalez, J. M., Good, P., Goren, A., Gorkin, D. U., Graveley, B. R., Gray, M., Greenblatt, J. F., Griffiths, E., Groudine, M. T., Grubert, F., Gu, M., Guigó, R., Guo, H., Guo, Y., Guo, Y., Gursoy, G., Gutierrez-Arcelus, M., Halow, J., Hardison, R. C., Hardy, M., Hariharan, M., Harmanci, A., Harrington, A., Harrow, J. L., Hashimoto, T. B., Hasz, R. D., Hatan, M., Haugen, E., Hayes, J. E., He, P., He, Y., Heidari, N., Hendrickson, D., Heuston, E. F., Hilton, J. A., Hitz, B. C., Hochman, A., Holgren, C., Hou, L., Hou, S., Hsiao, Y.-H. E., Hsu, S., Huang, H., Hubbard, T. J., Huey, J., Hughes, T. R., Hunt, T., Ibarrientos, S., Issner, R., Iwata, M., Izuogu, O., Jaakkola, T., Jameel, N., Jansen, C., Jiang, L., Jiang, P., Johnson, A., Johnson, R., Jungreis, I., Kadaba, M., Kasowski, M., Kasparian, M., Kato, M., Kaul, R., Kawli, T., Kay, M., Keen, J. C., Keles, S., Keller, C. A., Kelley, D., Kellis, M., Kheradpour, P., Kim, D. S., Kirilusha, A., Klein, R. J., Knoechel, B., Kuan, S., Kulik, M. J., Kumar, S., Kundaje, A., Kutyavin, T., Lagarde, J., Lajoie, B. R., Lambert, N. J., Lazar, J., Lee, A. Y., Lee, D., Lee, E., Lee, J. W., Lee, K., Leslie, C. S., Levy, S., Li, B., Li, H., Li, N., Li, S., Li, X., Li, Y. I., Li, Y., Li, Y., Li, Y., Lian, J., Libbrecht, M. W., Lin, S., Lin, Y., Liu, D., Liu, J., Liu, P., Liu, T., Liu, X. S., Liu, Y., Liu, Y., Long, M., Lou, S., Loveland, J., Lu, A., Lu, Y., Lécuyer, E., Ma, L., Mackiewicz, M., Mannion, B. J., Mannstadt, M., Manthravadi, D., Marinov, G. K., Martin, F. J., Mattei, E., McCue, K., McEown, M., McVicker, G., Meadows, S. K., Meissner, A., Mendenhall, E. M., Messer, C. L., Meuleman, W., Meyer, C., Miller, S., Milton, M. G., Mishra, T., Moore, D. E., Moore, H. M., Moore, J. E., Moore, S. H., Moran, J., Mortazavi, A., Mudge, J. M., Munshi, N., Murad, R., Myers, R. M., Nandakumar, V., Nandi, P., Narasimha, A. M., Narayanan, A. K., Naughton, H., Navarro, F. C. P., Navas, P., Nazarovs, J., Nelson, J., Neph, S., Neri, F. J., Nery, J. R., Nesmith, A. R., Newberry, J. S., Newberry, K. M., Ngo, V., Nguyen, R., Nguyen, T. B., Nguyen, T., Nishida, A., Noble, W. S., Novak, C. S., Novoa, E. M., Nuñez, B., O’Donnell, C. W., Olson, S., Onate, K. C., Otterman, E., Ozadam, H., Pagan, M., Palden, T., Pan, X., Park, Y., Partridge, E. C., Paten, B., Pauli-Behn, F., Pazin, M. J., Pei, B., Pennacchio, L. A., Perez, A. R., Perry, E. H., Pervouchine, D. D., Phalke, N. N., Pham, Q., Phanstiel, D. H., Plajzer-Frick, I., Pratt, G. A., Pratt, H. E., Preissl, S., Pritchard, J. K., Pritykin, Y., Purcaro, M. J., Qin, Q., Quinones-Valdez, G., Rabano, I., Radovani, E., Raj, A., Rajagopal, N., Ram, O., Ramirez, L., Ramirez, R. N., Rausch, D., Raychaudhuri, S., Raymond, J., Razavi, R., Reddy, T. E., Reimonn, T. M., Ren, B., Reymond, A., Reynolds, A., Rhie, S. K., Rinn, J., Rivera, M., Rivera-Mulia, J. C., Roberts, B. S., Rodriguez, J. 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M., Volpi, S., Vong, S., Wang, H., Wang, M., Wang, Q., Wang, R., Wang, T., Wang, W., Wang, X., Wang, Y., Watson, N. K., Wei, X., Wei, Z., Weisser, H., Weissman, S. M., Welch, R., Welikson, R. E., Weng, Z., Westra, H.-J., Whitaker, J. W., White, C., White, K. P., Wildberg, A., Williams, B. A., Wine, D., Witt, H. N., Wold, B., Wolf, M., Wright, J., Xiao, R., Xiao, X., Xu, J., Xu, J., Yan, K.-K., Yan, Y., Yang, H., Yang, X., Yang, Y.-W., Yardımcı, G. G., Yee, B. A., Yeo, G. W., Young, T., Yu, T., Yue, F., Zaleski, C., Zang, C., Zeng, H., Zeng, W., Zerbino, D. R., Zhai, J., Zhan, L., Zhan, Y., Zhang, B., Zhang, J., Zhang, J., Zhang, K., Zhang, L., Zhang, P., Zhang, Q., Zhang, X.-O., Zhang, Y., Zhang, Z., Zhao, Y., Zheng, Y., Zhong, G., Zhou, X.-Q., Zhu, Y., Zimmerman, J., Moore, J. E., Purcaro, M. J., Pratt, H. E., Epstein, C. B., Shoresh, N., Adrian, J., Kawli, T., Davis, C. A., Dobin, A., Kaul, R., Halow, J., Van Nostrand, E. L., Freese, P., Gorkin, D. U., Shen, Y., He, Y., Mackiewicz, M., Pauli-Behn, F., Williams, B. A., Mortazavi, A., Keller, C. A., Zhang, X.-O., Elhajjajy, S. I., Huey, J., Dickel, D. E., Snetkova, V., Wei, X., Wang, X., Rivera-Mulia, J. C., Rozowsky, J., Zhang, J., Chhetri, S. B., Zhang, J., Victorsen, A., White, K. P., Visel, A., Yeo, G. W., Burge, C. B., Lécuyer, E., Gilbert, D. M., Dekker, J., Rinn, J., Mendenhall, E. M., Ecker, J. R., Kellis, M., Klein, R. J., Noble, W. S., Kundaje, A., Guigó, R., Farnham, P. J., Cherry, J. M., Myers, R. M., Ren, B., Graveley, B. R., Gerstein, M. B., Pennacchio, L. A., Snyder, M. P., Bernstein, B. E., Wold, B., Hardison, R. C., Gingeras, T. R., Stamatoyannopoulos, J. A., & Weng, Z.
- Affiliations
- Wellcome Sanger Institute (GB)
- Altius Institute for Biomedical Sciences (US)
- Stanford University (US)
- Lawrence Berkeley National Laboratory (US)
- University of California San Diego (US)
- European Bioinformatics Institute (GB)
- National Institutes of Health (US)
- California Institute of Technology (US)
- University of Massachusetts Chan Medical School (US)
- Broad Institute (US)
- University of California, Santa Cruz (US)
- Brigham and Women's Hospital (US)
- Institute for Stem Cell Biology and Regenerative Medicine (US)
- Massachusetts Institute of Technology (US)
- Johns Hopkins University (US)
- Fred Hutch Cancer Center (US)
- Montreal Clinical Research Institute (CA)
- MIT Computer Science and Artificial Intelligence Laboratory (US)
- Universitat Pompeu Fabra (ES)
- University of Michigan (US)
- HudsonAlpha Institute for Biotechnology (US)
- University of Wisconsin–Madison (US)
- Tongji University (CN)
- Memorial Sloan Kettering Cancer Center (US)
- Salk Institute for Biological Studies (US)
- Boston University (US)
- Institute of Cancer Research (GB)
- University of Lausanne (CH)
- The Ohio State University (US)
- Yale University (US)
- Duke University (US)
- University of Georgia (US)
- Cold Spring Harbor Laboratory (US)
- Florida State University (US)
- Université Toulouse III - Paul Sabatier (FR)
- Massachusetts General Hospital (US)
- UConn Health (US)
- University of California, Irvine (US)
- University of Toronto (CA)
- Spanish National Centre for Cardiovascular Research (ES)
- Institute for Infocomm Research (SG)
- Dana-Farber Cancer Institute (US)
- Pennsylvania State University (US)
- University of Southern California (US)
- ELIXIR (GB)
- Icahn School of Medicine at Mount Sinai (US)
- Stanford Medicine (US)
- University of Chicago (US)
- University of California, Los Angeles (US)
- Guy's Hospital (GB)
- Harvard University (US)
- University of Bern (CH)
- American Society for Radiation Oncology (US)
- Boston Children's Hospital (US)
- Howard Hughes Medical Institute (US)
- Simon Fraser University (CA)
- Washington University in St. Louis (US)
- Penn State Milton S. Hershey Medical Center (US)
- Skolkovo Institute of Science and Technology (RU)
- University of North Carolina at Chapel Hill (US)
- St. Jude Children's Research Hospital (US)
- Jiangsu University (CN)
- The University of Texas at Dallas (US)
- Leidos Biomedical Research Inc. (United States) (US)
- University of Washington (US)
- Moffitt Cancer Center (US)
- National Disease Research Interchange (US)
- Spanish National Cancer Research Centre (ES)
- Northwestern University (US)
- University of Nebraska–Lincoln (US)
- ORCID
- Afzal, Veena
- Ai, Rizi
- Aken, Bronwen
- Akiyama, Jennifer A.
- Amrhein, Henry
- Anderson, Stacie M.
- Antoshechkin, Igor
- Ardlie, Kristin G.
- Armstrong, Joel
- Barkal, Amira A.
- Barnes, If H. A.
- Barozzi, Iros
- Barrell, Daniel
- Baymuradov, Ulugbek K.
- Bazile, Cassandra
- Beer, Michael A.
- Beik, Samantha
- Bennett, Ruth
- Bouvrette, Louis Philip Benoit
- Berry, Andrew
- Bhaskar, Anand
- Bignell, Alexandra
- Blue, Steven M.
- Boix, Carles
- Boley, Nathan
- Borrman, Tyler
- Borsari, Beatrice
- Boyle, Alan P.
- Breschi, Alessandra
- Bresnick, Emery H.
- Buckley, Michael
- Cai, Lingling
- Castanon, Rosa G.
- Chan, Esther T.
- Chee, Sora
- Chen, Hao
- Chen, Huaming
- Chen, Songjie
- Choudhary, Jyoti S.
- Chung, Dongjun
- Clarke, Declan
- Coursen, Julie
- D’Ippolito, Anthony M.
- Dalton, Stephen
- Danyko, Cassidy
- Davidson, Claire
- DeSalvo, Gilberto
- Despacio-Reyes, Gloria
- Dewey, Colin N.
- Diekhans, Mark
- Dileep, Vishnu
- Ding, Bo
- Djebali, Sarah
- Donaldson, Sarah
- Dreszer, Timothy R.
- Drier, Yotam
- Duff, Michael O.
- Edwards, Matthew D.
- Emili, Andrew
- Ezkurdia, Iakes
- Fan, Kaili
- Farrell, Nina P.
- Ferreira, Anne-Maud
- Fisher-Aylor, Katherine
- Fitzgerald, Stephen
- Flicek, Paul
- Foo, Chuan Sheng
- Frankish, Adam
- Fu, Shaliu
- Fu, Xiang-Dong
- Fu, Yu
- Fulciniti, Mariateresa
- Funnell, Alister P. W.
- Gabdank, Idan
- Galeev, Timur
- Gao, Mingshi
- Garvin, Tyler H.
- Georgolopoulos, Grigorios
- Giardine, Belinda M.
- Gifford, David K.
- Gilchrist, Daniel A.
- Gillespie, Shawn
- Goren, Alon
- Greenblatt, Jack F.
- Groudine, Mark T.
- Gu, Mengting
- Guo, Hongbo
- Guo, Yuchun
- Hariharan, Manoj
- Harmanci, Arif
- Harrington, Anne
- Harrow, Jennifer L.
- Hashimoto, Tatsunori B.
- Hasz, Richard D.
- Haugen, Eric
- Hayes, James E.
- He, Peng
- Hendrickson, David
- Heuston, Elisabeth F.
- Hilton, Jason A.
- Hitz, Benjamin C.
- Hou, Lei
- Hubbard, Tim J.
- Hughes, Timothy R.
- Hunt, Toby
- Issner, Robbyn
- Izuogu, Osagie
- Jaakkola, Tommi
- Jansen, Camden
- Jiang, Lixia
- Jiang, Peng
- Johnson, Rory
- Jungreis, Irwin
- Kadaba, Madhura
- Kasowski, Maya
- Kato, Momoe
- Keen, Judith C.
- Kelley, David
- Kim, Daniel Sunwook
- Knoechel, Birgit
- Kuan, Samantha
- Kulik, Michael J.
- Kumar, Sushant
- Lagarde, Julien
- Lajoie, Bryan R.
- Lazar, John
- Lee, Ah Young
- Lee, Donghoon
- Lee, Elizabeth
- Lee, Kristen
- Leslie, Christina S.
- Li, Bin
- Li, Nan
- Li, Shantao
- Li, Yang I.
- Li, Ying
- Li, Yining
- Li, Yue
- Libbrecht, Maxwell W.
- Lin, Shin
- Lin, Yiing
- Liu, Dianbo
- Liu, Jason
- Liu, Peng
- Liu, Tingting
- Liu, X. Shirley
- Liu, Yaping
- Lou, Shaoke
- Loveland, Jane
- Ma, Lijia
- Mannion, Brandon J.
- Mannstadt, Michael
- Marinov, Georgi K.
- Martin, Fergal J.
- Mattei, Eugenio
- McVicker, Graham
- Meadows, Sarah K.
- Messer, Christopher L.
- Meuleman, Wouter
- Meyer, Clifford
- Mishra, Tejaswini
- Moore, Samuel H.
- Moran, Jennifer
- Mudge, Jonathan M.
- Munshi, Nikhil
- Murad, Rabi
- Nandakumar, Vivek
- Narayanan, Aditi K.
- Nelson, Jemma
- Neph, Shane
- Nery, Joseph R.
- Newberry, Kimberly M.
- Nguyen, Thai B.
- Nishida, Andrew
- Novoa, Eva Maria
- Olson, Sara
- Pagan, Michael
- Pan, Xinghua
- Park, Yongjin
- Paten, Benedict
- Pazin, Michael J.
- Perry, Emily H.
- Pervouchine, Dmitri D.
- Phalke, Nishigandha N.
- Preissl, Sebastian
- Pritchard, Jonathan K.
- Pritykin, Yuri
- Qin, Qian
- Quinones-Valdez, Giovanni
- Rabano, Ines
- Raj, Anil
- Ram, Oren
- Rausch, Dylan
- Raychaudhuri, Soumya
- Raymond, Joseph
- Razavi, Rozita
- Reddy, Timothy E.
- Reimonn, Thomas M.
- Reymond, Alexandre
- Rhie, Suhn K.
- Rivera, Miguel
- Roberts, Brian S.
- Ryan, Russell
- Rynes, Eric
- Salins, Denis N.
- Sandstrom, Richard
- Sasaki, Takayo
- Sathe, Shashank
- Savic, Daniel
- Schlaffner, Christoph
- Schloss, Jeffery A.
- Sethi, Anurag
- Setty, Manu
- Sharon, Eilon
- Shen, Quan
- Sherwood, Richard I.
- Shi, Minyi
- Sisu, Cristina
- Sloan, Cricket A.
- Smith, Anna
- Srivas, Rohith
- Strattan, J. Seth
- Sundararaman, Balaji
- Suner, Marie-Marthe
- Tanaka, Forrest Y.
- Teng, Mingxiang
- Tress, Michael L.
- Trout, Diane E.
- Trynka, Gosia
- Tsuji, Junko
- Ursu, Oana
- Valencia, Alfonso
- Vielmetter, Jost
- Vierstra, Jeff
- Vlasova, Anna
- Vockley, Christopher M.
- Volpi, Simona
- Wang, Hao
- Wang, Qin
- Wang, Ruth
- Wang, Tao
- Wang, Yanli
- Watson, Nathaniel K.
- Weisser, Hendrik
- Welch, Rene
- Westra, Harm-Jan
- Whitaker, John W.
- Wine, David
- Witt, Heather N.
- Wright, James
- Xiao, Rui
- Xiao, Xinshu
- Xu, Jie
- Xu, Jinrui
- Yang, Hongbo
- Yardımcı, Galip Gürkan
- Yee, Brian A.
- Young, Taylor
- Yu, Tianxiong
- Yue, Feng
- Zang, Chongzhi
- Zeng, Haoyang
- Zerbino, Daniel R.
- Zhan, Lijun
- Zhan, Ye
- Zhang, Bo
- Zhang, Kai
- Zhang, Lijun
- Zhang, Peng
- Zhang, Qi
- Zhang, Zhizhuo
- Zhao, Yuan
- Zhu, Yun
- Venue
- Nature
- Published
- 2020-07-29
- Volume
- 583
- Issue
- 7818
- Pages
- 699-710
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC7410828
- OpenAlex
- W3045910546
- Cited by
- 2,378
- References
- 71
- Citations by year
- 2026: 369 · 2025: 460 · 2024: 493 · 2023: 365 · 2022: 364 · 2021: 284 · 2020: 40 · 2012: 1
- FWCI
- 87.36
- Type
- journal article
- Language
- en
- Update notices
- correction (2022-04-26)
- Open access
- hybrid
- doi.org
- Locations
- Nature (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- SERVAL (Université de Lausanne) (publishedVersion, cc-by)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- IRIS (submittedVersion, cc-by)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion, public-domain)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion, cc-by)
- The Journal of the American Medical Association (JAMA) Network (American Medical Association) (submittedVersion, cc-by)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- BORIS (University Library Bern) (submittedVersion, cc-by)
- Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion, cc-by)
- eScholarship (California Digital Library) (submittedVersion)
- Open Access System for Information Sharing (Pohang University of Science and Technology) (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion, cc-by)
- Spiral (Imperial College London) (submittedVersion, cc-by)
- Funders
- National Institutes of Health (U41HG007001, U41HG007003, U41HG006999, 10,11, U41HG006995, 5p30ca045508-35)
- Biotechnology and Biological Sciences Research Council (BB/I025506/1, BB/I025360/1)
- National Human Genome Research Institute (U54HG007004, U41HG007000, U54HG006997, U54HG006996, F32HG006993, U01HG007037, U41HG006992, UM1HG009390, U54HG007010, U01HG007033, U54HG006991, U01HG009431, K99HG009530, U01HG009380, UM1HG009411, U01HG007036, U54HG006994, U01HG007019, U54HG006998, U24HG009446, UM1HG009442, U54HG007002, R01HG012367, R01HG003143, T32HG000044, U54HG007005)
- National Cancer Institute (P30-CA045508, P30CA008748, P30CA014195)
- National Institute of General Medical Sciences (T32GM087237, R01GM083337)
- National Institute of Diabetes and Digestive and Kidney Diseases (R37DK050107, R24DK106766, R01DK068634)
- 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
- cis-regulatory elements, human genome, mouse genome, RNA transcription, chromatin structure, chromatin modification, DNA methylation, chromatin looping, transcription factor occupancy, RNA-binding proteins, fetal development, gene expression regulation
- MeSH terms
- Animals, Chromatin, Deoxyribonuclease I, DNA, Histones, Humans, Mice, Transgenic, Registries, Regulatory Sequences, Nucleic Acid, Transcription, Genetic, Genome, Human, RNA-Binding Proteins, Genome, DNA Footprinting, DNA Methylation, Transposases, Genomics, Databases, Genetic, DNA Replication Timing, Mice, Molecular Sequence Annotation
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.
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