The DOI matches its Crossref record; 214 of the 218 references it cites were found in a registry or an index.
Long-range enhancer–promoter contacts in gene expression control
Abstract
Spatiotemporal gene expression programmes are orchestrated by transcriptional enhancers, which are key regulatory DNA elements that engage in physical contacts with their target-gene promoters, often bridging considerable genomic distances. Recent progress in genomics, genome editing and microscopy methodologies have enabled the genome-wide mapping of enhancer-promoter contacts and their functional dissection. In this Review, we discuss novel concepts on how enhancer-promoter interactions are established and maintained, how the 3D architecture of mammalian genomes both facilitates and constrains enhancer-promoter contacts, and the role they play in gene expression control during normal development and disease.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“It is clear from both genome-wide profiling and perturbation studies that, of the multitudes of enhancers in a locus, not all of them provide input to every promoter [430, 431].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [431]
In the citing paper
“Promoter-interacting regions identified using these approaches typically show enrichment for enhancer-associated chromatin marks and disease-associated variants, and in a number of cases their target genes have been validated directly (reviewed in [431]).”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [431]
In the citing paper
“During the “search” of a target promoter (regardless of the “searching mechanism”), enhancers meet other genes that, however, are not activated by this enhancer [21,128,129].”
From Enhancer Function in the 3D Genome (2023) · cites this paper as [128]
In the citing paper
“Chromatin loops enable interactions between enhancers and promoters enabling fine control of gene expression, in addition to the regulation mediated by transcription factors and other epigenetic modifications”
From Neuronal DNA double-strand breaks lead to genome structural variations and 3D genome disruption in neurodegeneration (2023) · cites this paper as [27]
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
A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping
Rao, S. S. P., Huntley, M. H., Durand, N. C., Stamenova, E. K., Bochkov, I. D., Robinson, J. T., Sanborn, A. L., Machol, I., Omer, A. D., Lander, E. S., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.021 · Cited by 9,212
Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome
Lieberman-Aiden, E., van Berkum, N. L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., Amit, I., Lajoie, B. R., Sabo, P. J., Dorschner, M. O., et al. (2009) · Science · doi:10.1126/science.1181369 · Cited by 8,898
Topological domains in mammalian genomes identified by analysis of chromatin interactions
Dixon, J. R., Selvaraj, S., Yue, F., Kim, A., Li, Y., Shen, Y., Hu, M., Liu, J. S., & Ren, B. (2012) · Nature · doi:10.1038/nature11082 · Cited by 6,829
Histone H3K27ac separates active from poised enhancers and predicts developmental state
Creyghton, M. P., Cheng, A. W., Welstead, G. G., Kooistra, T., Carey, B. W., Steine, E. J., Hanna, J., Lodato, M. A., Frampton, G. M., Sharp, P. A., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016071107 · Cited by 4,302
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
Capturing Chromosome Conformation
Dekker, J., Rippe, K., Dekker, M., & Kleckner, N. (2002) · Science · doi:10.1126/science.1067799 · Cited by 3,652
Spatial partitioning of the regulatory landscape of the X-inactivation centre
Nora, E. P., Lajoie, B. R., Schulz, E. G., Giorgetti, L., Okamoto, I., Servant, N., Piolot, T., van Berkum, N. L., Meisig, J., Sedat, J., et al. (2012) · Nature · doi:10.1038/nature11049 · Cited by 2,895
Coactivator condensation at super-enhancers links phase separation and gene control
Sabari, B. R., Dall’Agnese, A., Boija, A., Klein, I. A., Coffey, E. L., Shrinivas, K., Abraham, B. J., Hannett, N. M., Zamudio, A. V., Manteiga, J. C., et al. (2018) · Science · doi:10.1126/science.aar3958 · Cited by 2,595
A unique chromatin signature uncovers early developmental enhancers in humans
Rada-Iglesias, A., Bajpai, R., Swigut, T., Brugmann, S. A., Flynn, R. A., & Wysocka, J. (2011) · Nature · doi:10.1038/nature09692 · Cited by 2,233
Cited by
Sorted by citations
Items 201–300 of 1,000
Tanemoto, F., & Mimura, I. (2022) · Pharmaceuticals · doi:10.3390/ph15020123 · Cited by 35
Bonev, B., Castelo‐Branco, G., Chen, F., Codeluppi, S., Corces, M. R., Fan, J., Heiman, M., Harris, K., Inoue, F., Kellis, M., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01806-0 · Cited by 44
SiCLAT: simultaneous imaging of chromatin loops and active transcription in living cells
Wan, X., Kong, J., Hu, X., Liu, L., Yang, Y., Li, H., Liu, G., Niu, X., Chen, F., Zhang, D., et al. (2025) · Genome biology · doi:10.1186/s13059-024-03463-9 · Cited by 44
Sepúlveda-Villegas, M., Elizondo‐Montemayor, L., & Treviño, V. (2019) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2019.105516 · Cited by 35
Detecting chromosomal interactions in Capture Hi-C data with CHiCAGO and companion tools
Freire-Pritchett, P., Ray-Jones, H., Rosa, M. D., Eijsbouts, C., Orchard, W. R., Wingett, S., Wallace, C., Cairns, J. M., Spivakov, M., & Malysheva, V. (2021) · Nature Protocols · doi:10.1038/s41596-021-00567-5 · Cited by 34
Selective Xi reactivation and alternative methods to restore MECP2 function in Rett syndrome
Grimm, N.-B., & Lee, J. T. (2022) · Trends in Genetics · doi:10.1016/j.tig.2022.01.007 · Cited by 34
Zhou, P., VanDusen, N. J., Zhang, Y., Cao, Y., Sethi, I., Hu, R., Zhang, S., Wang, G., Ye, L., Mazumdar, N., et al. (2023) · Developmental Cell · doi:10.1016/j.devcel.2023.03.020 · Cited by 34
Enhancer RNAs in transcriptional regulation: recent insights
Chen, Q., Zeng, Y., Kang, J., Hu, M., Li, N., Sun, K., & Zhao, Y. F. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1205540 · Cited by 41
Crespo, M., Damont, A., Blanco, M., Lastrucci, E., Kennani, S. E., Ialy‐Radio, C., Khattabi, L. E., Terrier, S., Louwagie, M., Kieffer‐Jaquinod, S., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa163 · Cited by 43
Chromatin accessibility and regulatory vocabulary across indicine cattle tissues
Alexandre, P. A., Naval-Sánchez, M., Menzies, M., Nguyen, L. T., Porto-Neto, L. R., Fortes, M. R. S., & Reverter, A. (2021) · Genome biology · doi:10.1186/s13059-021-02489-7 · Cited by 34
Schoonhoven, A. O.-V., de Bruijn, M. J. W., Stikker, B., Brouwer, R. W. W., Braunstahl, G., van IJcken, W. F. J., Graf, T., Huylebroeck, D., Hendriks, R. W., Stik, G., et al. (2023) · Science Immunology · doi:10.1126/sciimmunol.adg3917 · Cited by 35
Evolutionary genetics of skin pigmentation in African populations
Feng, Y., McQuillan, M. A., & Tishkoff, S. A. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab007 · Cited by 34
Capturing large genomic contexts for accurately predicting enhancer-promoter interactions
Chen, K., Zhao, H., & Yang, Y. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbab577 · Cited by 33
Ying, P., Chen, C., Lu, Z., Chen, S., Zhang, M., Cai, Y., Zhang, F., Huang, J., Fan, L., Ning, C., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41690-z · Cited by 37
Chan, B., & Rubinstein, M. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2401494121 · Cited by 34
Chai, H., Huang, X., Xiong, G., Huang, J., Pels, K. K., Meng, L., Han, J., Tang, D., Pan, G., Deng, L., et al. (2025) · Nature Methods · doi:10.1038/s41592-025-02658-7 · Cited by 35
The chicken model organism for epigenomic research
Beacon, T. H., & Davie, J. (2020) · Genome · doi:10.1139/gen-2020-0129 · Cited by 32
Myeloma-specific superenhancers affect genes of biological and clinical relevance in myeloma
Jia, Y.-L., Zhou, J.-B., Tan, T.-K., Chung, T.-H., Wong, R., Chooi, J., Lim, J. S. L., Sanda, T., Ooi, M., de Mel, S., et al. (2021) · Blood Cancer Journal · doi:10.1038/s41408-021-00421-7 · Cited by 29
Giacopuzzi, E., Popitsch, N. P., & Taylor, J. C. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac130 · Cited by 31
Brown, J. M., Ornellas, S. D., Parisi, E., Schermelleh, L., & Buckle, V. J. (2022) · Nature Protocols · doi:10.1038/s41596-022-00685-8 · Cited by 30
Mechanisms of transcription control by distal enhancers from high-resolution single-gene imaging
Cheng, L., De, C., Li, J., & Pertsinidis, A. (2023) · doi:10.1101/2023.03.19.533190 · Cited by 32
Mouse B2 SINE elements function as IFN-inducible enhancers
Horton, I., Kelly, C. J., Dziulko, A., Simpson, D. M., & Chuong, E. B. (2023) · eLife · doi:10.7554/elife.82617 · Cited by 33
Liu, S., Cao, Y., Cui, K., Ren, G., Zhao, T., Wang, X., Wei, D., Chen, Z., Gurram, R. K., Liu, C., et al. (2024) · Immunity · doi:10.1016/j.immuni.2024.03.018 · Cited by 34
CTCF-mediated genome organization and leukemogenesis
Qiu, Y., & Huang, S. (2020) · Leukemia · doi:10.1038/s41375-020-0906-x · Cited by 32
Dynamic Runx1 chromatin boundaries affect gene expression in hematopoietic development
Owens, D. D. G., Anselmi, G., Oudelaar, A. M., Downes, D. J., Cavallo, A., Harman, J. R., Schweßinger, R., Bucakci, A., Greder, L. V., Ornellas, S. D., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28376-8 · Cited by 33
Gilbertson, S. E., Walter, H. C., Gardner, K., Wren, S. N., Vahedi, G., & Weinmann, A. S. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110769 · Cited by 31
Laverré, A., Tannier, É., & Necşulea, A. (2021) · Genome Research · doi:10.1101/gr.275901.121 · Cited by 30
Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data
Chen, X. X., Wang, Y., Cappuccio, A., Cheng, W.-S., Ruf-Zamojski, F. M., Nair, V. D., Miller, C. M., Rubenstein, A. B., Nudelman, G., Tadych, A., et al. (2023) · Nature Computational Science · doi:10.1038/s43588-023-00476-5 · Cited by 31
p53 rapidly restructures 3D chromatin organization to trigger a transcriptional response
Serra, F., Nieto-Aliseda, A., Fanlo, L., Rovirosa, L., Cabrera-Pasadas, M., Lazarenkov, A., Urmeneta, B., Alcalde-Merino, A., Nola, E., Okorokov, A. L., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46666-1 · Cited by 30
Self-citationEvolution of Regulated Transcription
Bylino, O. V., Ibragimov, A. N., & Shidlovskii, Y. V. (2020) · Cells · doi:10.3390/cells9071675 · Cited by 31
DNA Methylation and HPV-Associated Head and Neck Cancer
Nakagawa, T., Kurokawa, T., Mima, M., Imamoto, S., Mizokami, H., Kondo, S., Okamoto, Y., Misawa, K., Hanazawa, T., & Kaneda, A. (2021) · Microorganisms · doi:10.3390/microorganisms9040801 · Cited by 32
Multiomics analysis provides insights into musk secretion in muskrat and musk deer
Wang, T., Yang, M., Shi, X., Tian, S., Li, Y., Xie, W., Zou, Z., Leng, D., Zhang, M., Zheng, C., et al. (2025) · GigaScience · doi:10.1093/gigascience/giaf006 · Cited by 29
High-Resolution Mapping of Multiway Enhancer-Promoter Interactions Regulating Pathogen Detection
Vangala, P., Murphy, R., Quinodoz, S. A., Gellatly, K. J., McDonel, P. E., Guttman, M., & Garber, M. G. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.09.005 · Cited by 29
Genetic insights into immune mechanisms of Alzheimer’s and Parkinson’s disease
Nott, A., & Holtman, I. R. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1168539 · Cited by 33
Diversity, duplication, and genomic organization of homeobox genes in LepidopteraPreprint
Mulhair, P. O., Crowley, L. M., Boyes, D., Harper, A., Lewis, O. T., & Holland, P. W. H. (2022) · Genome Research · doi:10.1101/gr.277118.122 · Cited by 29
Locally acting transcription factors regulate p53-dependent cis-regulatory element activity
Catizone, A. N., Uzunbas, G. K., Celadova, P., Kuang, S., Bose, D. A., & Sammons, M. A. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa147 · Cited by 28
Nuclear dynamics and stress responses in Alzheimer’s disease
Iatrou, A., Clark, E. M., & Wang, Y. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00489-6 · Cited by 31
Dimitrova, E., Feldmann, A., van der Weide, R. H., Flach, K. D., Lastuvkova, A., de Wit, E., & Klose, R. J. (2022) · Nature Structural & Molecular Biology · doi:10.1038/s41594-022-00840-5 · Cited by 26
Quantifying transcriptome diversity: a review
Jones, E. F., Haldar, A., Oza, V. H., & Lasseigne, B. N. (2023) · Briefings in Functional Genomics · doi:10.1093/bfgp/elad019 · Cited by 28
Spatial promoter–enhancer hubs in cancer: organization, regulation, and function
Zhao, J., & Faryabi, R. B. (2023) · Trends in Cancer · doi:10.1016/j.trecan.2023.07.017 · Cited by 28
Navigating the crowd: visualizing coordination between genome dynamics, structure, and transcription
Shaban, H. A., Barth, R., & Bystricky, K. (2020) · Genome biology · doi:10.1186/s13059-020-02185-y · Cited by 28
Chromatin architecture reveals cell type-specific target genes for kidney disease risk variants
Duan, A., Wang, H., Zhu, Y., Wang, Q., Zhang, J., Hou, Q., Xing, Y., Shi, J., Hou, J., Qin, Z. S., et al. (2021) · BMC Biology · doi:10.1186/s12915-021-00977-7 · Cited by 26
Non-Coding Variants in Cancer: Mechanistic Insights and Clinical Potential for Personalized Medicine
Lange, M., Begolli, R., & Giakountis, A. (2021) · Non-Coding RNA · doi:10.3390/ncrna7030047 · Cited by 26
Bansal, K., Michelson, D. A., Ramírez, R. N., Viny, A. D., Levine, R. L., Benoist, C. O., & Mathis, D. J. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2110991118 · Cited by 26
Dynamic 3D genome reorganization during development and metabolic stress of the porcine liver
Chen, L., Li, J., Yuan, R., Wang, Y., Zhang, J., Lin, Y., Wang, L., Zhu, X., Zhu, W., Bai, J., et al. (2022) · Cell Discovery · doi:10.1038/s41421-022-00416-z · Cited by 31
3D genome organization links non-coding disease-associated variants to genes
Orozco, G., Schoenfelder, S., Walker, N. J., Eyre, S., & Fraser, P. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.995388 · Cited by 30
Self-citationAneuploidy effects on human gene expression across three cell types
Liu, S., Akula, N., Reardon, P. K., Russ, J. L., Torres, E. N., CLASEN, L. S., Blumenthal, J. D., Lalonde, F., McMahon, F. J., Szele, F. G., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2218478120 · Cited by 26
Auerbach, B. J., Hu, J., Reilly, M. P., & Li, M. (2021) · Genome Research · doi:10.1101/gr.275430.121 · Cited by 28
Genetic factors mediating long-range enhancer–promoter communication in mammalian development
Bower, G., & Kvon, E. Z. (2024) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2024.102282 · Cited by 30
Rodríguez-Caparrós, A., Álvarez-Santiago, J., del Valle-Pastor, M. J., Suñé, C., López-Ros, J., & Hernández-Munaín, C. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21228478 · Cited by 30
Bigness, J., Loinaz, X., Patel, S. S., Larschan, E., & Singh, R. (2022) · Journal of Computational Biology · doi:10.1089/cmb.2021.0316 · Cited by 25
Nair, S. J., Suter, T., Wang, S. S., Lu, Y., Yang, F., & Rosenfeld, M. G. (2022) · Trends in Genetics · doi:10.1016/j.tig.2022.05.015 · Cited by 27
ChIATAC is an efficient strategy for multi-omics mapping of 3D epigenomes from low-cell inputs
Chai, H.-X., Tjong, H., Li, P., Liao, W., Wang, P., Wong, C.-H., Ngan, C., Leonard, W., Wei, C.-L., & Ruan, Y. (2023) · Nature Communications · doi:10.1038/s41467-023-35879-5 · Cited by 23
Kessler, S., Minoux, M., Joshi, O., Zouari, Y. B., Ducret, S., Ross, F., Vilain, N., Salvi, A., Wolff, J., Kohler, H., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38953-0 · Cited by 28
Genetic and epigenetic targets of natural dietary compounds as anti-Alzheimer’s agents
Ordoñez, W. O. C., Cajas‐Salazar, N., & Velasco-Reyes, M. A. (2023) · Neural Regeneration Research · doi:10.4103/1673-5374.382232 · Cited by 26
Narducci, D. N., & Hansen, A. S. (2025) · Molecular Cell · doi:10.1016/j.molcel.2024.11.032 · Cited by 25
Nair, V. D., Vasoya, M., Nair, V., Smith, G. R., Pinças, H., Ge, Y., Douglas, C. M., Esser, K. A., & Sealfon, S. C. (2021) · Genomics · doi:10.1016/j.ygeno.2021.09.013 · Cited by 25
Wang, H., Huang, B., & Wang, J. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab841 · Cited by 26
Towards precision medicine in lymphoid malignancies
Bühler, M. M., Martín-Subero, J. I., Pan‐Hammarström, Q., Campo, E., & Rosenquist, R. (2021) · Journal of Internal Medicine · doi:10.1111/joim.13423 · Cited by 28
Emerging roles of BET proteins in transcription and co‐transcriptional RNA processing
Eischer, N., Arnold, M., & Mayer, A. (2022) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1734 · Cited by 26
Locus-specific induction of gene expression from heterochromatin loci during cellular senescence
Tomimatsu, K., Bihary, D., Olan, I., Parry, A. J., Schoenfelder, S., Chan, A. S. L., Slater, G. S. C., Ito, Y., Rugg-Gunn, P. J., Kirschner, K., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00147-y · Cited by 25
Self-citationA DNA tumor virus globally reprograms host 3D genome architecture to achieve immortal growth
Wang, C., Liu, X., Liang, J., Narita, Y., Ding, W.-Y., Li, D., Zhang, L., Wang, H.-B., Leong, M., Hou, I., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-37347-6 · Cited by 20
CEBPA Phase Separation Links Transcriptional Activity and 3D Chromatin Hubs
Christou‐Kent, M., Cuartero, S., Garcia‐Cabau, C., Rühle, J., Naderi, J., Erber, J., Neguembor, M. V., Plana-Carmona, M., Alcoverro-Bertran, M., de Andrés-Aguayo, L., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2023.112897 · Cited by 27
Evolution of Genome-Organizing Long Non-coding RNAs in Metazoans
Ramírez-Colmenero, A., Oktaba, K., & Fernández-Valverde, S. L. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.589697 · Cited by 26
Competition Between Transcription and Loop Extrusion Modulates Promoter and Enhancer DynamicsPreprint
Platania, A., Erb, C., Barbieri, M., Molcrette, B., Grandgirard, E., de Kort, M. A. C., Meaburn, K. J., Taylor, T., Shchuka, V. M., Kocanova, S., et al. (2023) · SSRN Electronic Journal · doi:10.1101/2023.04.25.538222 · Cited by 32
Ahmed, F. S., Aly, S., & Liu, X. (2024) · BMC Bioinformatics · doi:10.1186/s12859-024-05784-9 · Cited by 26
Fine-mapping genomic loci refines bipolar disorder risk genes
Koromina, M., Ravi, A., Panagiotaropoulou, G., Schilder, B. M., Humphrey, J., Braun, A., Bidgeli, T., Chatzinakos, C., Coombes, B. J., Kim, J., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01998-z · Cited by 29
Establishment and function of chromatin modification at enhancers
Tafessu, A., & Banaszynski, L. A. (2020) · Open Biology · doi:10.1098/rsob.200255 · Cited by 24
HiC-ACT: improved detection of chromatin interactions from Hi-C data via aggregated Cauchy test
Lagler, T. M., Abnousi, A., Hu, M., Yang, Y., & Li, Y. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.01.009 · Cited by 24
Epigenetic Regulations in Mammalian Cells: Roles and Profiling Techniques
Kim, U., & Lee, D.-S. (2023) · Molecules and Cells · doi:10.14348/molcells.2023.0013 · Cited by 27
Noack, F., Vangelisti, S., Ditzer, N., Chong, F., Albert, M., & Bonev, B. (2023) · Nature Cell Biology · doi:10.1038/s41556-023-01296-5 · Cited by 27
Dynamic control of gene expression by ISGF3 and IRF1 during IFNβ and IFNγ signaling
Geetha, A. R. S. J., Fischer, K., Babadei, O., Smesnik, G., Vogt, A., Platanitis, E., Müller, M. M., Farlik, M., & Decker, T. (2024) · The EMBO Journal · doi:10.1038/s44318-024-00092-7 · Cited by 26
Chemical and Light Inducible Epigenome Editing
Zhao, W., Wang, Y., & Liang, F. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21030998 · Cited by 23
The dynamics of chromatin architecture in brain development and function
Harabula, I., & Pombo, A. (2021) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2020.12.008 · Cited by 26
The activity of human enhancers is modulated by the splicing of their associated lncRNAs
Tan, J. Y., & Marques, A. C. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009722 · Cited by 26
OpenXGR: a web-server update for genomic summary data interpretation
Bao, C., Wang, S., Jiang, L., Fang, Z., Zou, K., Lin, J. C.-J., Chen, S., & Fang, H. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad357 · Cited by 22
Large-scale analysis of the integration of enhancer-enhancer signals by promotersPreprint
Martinez-Ara, M., Comoglio, F., & van Steensel, B. (2023) · eLife · doi:10.7554/elife.91994 · Cited by 30
Genome-wide absolute quantification of chromatin looping
Jusuf, J. M., Yang, J. H., Toppen, J., Grosse-Holz, S., Gabriele, M., Mach, P., Flyamer, I. M., Zechner, C., Giorgetti, L., Mirny, L. A., et al. (2026) · Nature Structural & Molecular Biology · doi:10.1038/s41594-026-01819-2 · Cited by 22
Regulation of CTCF loop formation during pancreatic cell differentiation
Lyu, X., Rowley, M. J., Kulik, M. J., Dalton, S., & Corces, V. G. (2023) · Nature Communications · doi:10.1038/s41467-023-41964-6 · Cited by 21
Hou, Y., Li, Y., Xiang, J., Tilahun, K., Jiang, J., Corces, V. G., & Yao, B. (2024) · Cell Reports · doi:10.1016/j.celrep.2023.113662 · Cited by 25
Mechanism and regulation of class switch recombination by IgH transcriptional control elements
Oudinet, C., Braikia, F.-Z., Dauba, A., & Khamlichi, A. A. (2020) · Advances in immunology · doi:10.1016/bs.ai.2020.06.003 · Cited by 24
Vimentin binds to G-quadruplex repeats found at telomeres and gene promoters
Ceschi, S., Berselli, M., Cozzaglio, M., Giantin, M., Toppo, S., Spolaore, B., & Sissi, C. (2021) · bioRxiv · doi:10.1093/nar/gkab1274 · Cited by 18
Reorganization of 3D genome architecture across wild boar and Bama pig adipose tissues
Zhang, J., Liu, P., He, M., Wang, Y., Kui, H., Jin, L. G., Li, D., & Li, M. (2022) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-022-00679-2 · Cited by 24
Enhancer-LSTMAtt: A Bi-LSTM and Attention-Based Deep Learning Method for Enhancer Recognition
Huang, G., Luo, W., Zhang, G., Zheng, P., Yao, Y., Lyu, J., Liu, Y., & Wei, D. (2022) · Biomolecules · doi:10.3390/biom12070995 · Cited by 25
The 3D genome and its impacts on human health and disease
Wang, S., Luo, Z., Liu, W., Hu, T., Zhao, Z., Rosenfeld, M. G., & Song, X. (2023) · Life Medicine · doi:10.1093/lifemedi/lnad012 · Cited by 22
Li, X., Zeng, S., Chen, L., Zhang, Y., Li, X., Zhang, B., Su, D., Du, Q., Zhang, J., Wang, H., et al. (2023) · Cell Proliferation · doi:10.1111/cpr.13552 · Cited by 23
3D genome organization during lymphocyte development and activation
Schoonhoven, A. O.-V., Huylebroeck, D., Hendriks, R. W., & Stadhouders, R. (2019) · Briefings in Functional Genomics · doi:10.1093/bfgp/elz030 · Cited by 24
4See: A Flexible Browser to Explore 4C Data
Zouari, Y. B., Platania, A., Molitor, A., & Sexton, T. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2019.01372 · Cited by 16
Hammerschlag, A. R., Byrne, E. M., Agbessi, M. D. T., Ahsan, H., Alves, I., Andiappan, A. K., Arindrarto, W., Awadalla, P., Battle, A. J., Beutner, F., et al. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.05.002 · Cited by 22
The Functions and Mechanisms of Action of Insulators in the Genomes of Higher Eukaryotes
Melnikova, L. S., Georgiev, P. G., & Golovnin, A. K. (2020) · Acta Naturae · doi:10.32607/actanaturae.11144 · Cited by 24
Kenter, A. L., Watson, C. T., & Spille, J.-H. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.682589 · Cited by 21
Spatial organization of transcribed eukaryotic genesPreprint
Leidescher, S., Ribisel, J., Ullrich, S., Feodorova, Y. N., Hildebrand, E. M., Bultmann, S., Link, S., Thanisch, K., Mulholland, C. B., Dekker, J., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.20.106591 · Cited by 22
Mach, P., Kos, P., Zhan, Y., Cramard, J., Gaudin, S., Tünnermann, J., Marchi, E., Eglinger, J., Zuin, J., Kryzhanovska, M., et al. (2022) · bioRxiv · doi:10.1101/2022.03.03.482826 · Cited by 18
Chakraborty, S., Wenzlitschke, N., Anderson, M. J., Eraso, A., Baudic, M., Thompson, J. J., Evans, A. A., Shatford-Adams, L. M., Chari, R., Awasthi, P., et al. (2025) · Developmental Cell · doi:10.1016/j.devcel.2025.02.002 · Cited by 22
Wlasnowolski, M., Sadowski, M., Czarnota, T., Jodkowska, K., Szałaj, P., Tang, Z., Ruan, Y., & Plewczyński, D. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa388 · Cited by 21
Liu, L., Zhang, L., Dao, F., Yang, Y., & Lin, H. (2020) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2020.11.011 · Cited by 21
Decoding the organization, dynamics, and function of the 4D genome
Aboelnour, E., & Bonev, B. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.04.023 · Cited by 24
HiCRes: a computational method to estimate and predict the genomic resolution of Hi-C libraries
Marchal, C., Singh, N., Corso‐Díaz, X., & Swaroop, A. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab1235 · Cited by 23
4D nucleome equation predicts gene expression controlled by long-range enhancer-promoter interaction
Wang, Z., Luo, S., Zhang, Z., Zhou, T., & Zhang, J. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011722 · Cited by 23
Wang, Z., Peng, Y., Li, J., Li, J., Yuan, H., Yang, S., Ding, X., Xie, A., Zhang, J., Wang, S., et al. (2024) · Plant Communications · doi:10.1016/j.xplc.2024.100985 · Cited by 21
Metadata
- Authors
- Schoenfelder, S., & Fraser, P.
- Affiliations
- Babraham Institute (GB)
- Florida State University (US)
- Corresponding author
- Schoenfelder, Stefan
- Venue
- Nature Reviews Genetics
- Published
- 2019-05-13
- Volume
- 20
- Issue
- 8
- Pages
- 437-455
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2945038365
- Semantic Scholar
- d851d5037a1a04033beae17bfcd824e8c27b304e
- Cited by
- 1,102
- References
- 218
- Citations by year
- 2026: 118 · 2025: 144 · 2024: 162 · 2023: 170 · 2022: 163 · 2021: 184 · 2020: 127 · 2019: 32
- FWCI
- 11.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Medical Research Council (MR/L007150/1, MR/T016787/1)
- Biotechnology and Biological Sciences Research Council (BB/J004480/1)
- National Heart, Lung, and Blood Institute (U01HL129971)
- 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 › Cancer Research › Cancer-related molecular mechanisms research
- Keywords
- enhancer-promoter interactions, enhancers, 3D genome organization, chromatin looping, gene expression regulation, developmental gene regulation, disease
- MeSH terms
- Gene Editing, Animals, Enhancer Elements, Genetic, Humans, Mammals, Promoter Regions, Genetic, Gene Expression, Genome, Genomics
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