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Topological domains in mammalian genomes identified by analysis of chromatin interactions
Open accessAbstract
The spatial organization of the genome is intimately linked to its biological function, yet our understanding of higher order genomic structure is coarse, fragmented and incomplete. In the nucleus of eukaryotic cells, interphase chromosomes occupy distinct chromosome territories, and numerous models have been proposed for how chromosomes fold within chromosome territories. These models, however, provide only few mechanistic details about the relationship between higher order chromatin structure and genome function. Recent advances in genomic technologies have led to rapid advances in the study of three-dimensional genome organization. In particular, Hi-C has been introduced as a method for identifying higher order chromatin interactions genome wide. Here we investigate the three-dimensional organization of the human and mouse genomes in embryonic stem cells and terminally differentiated cell types at unprecedented resolution. We identify large, megabase-sized local chromatin interaction domains, which we term 'topological domains', as a pervasive structural feature of the genome organization. These domains correlate with regions of the genome that constrain the spread of heterochromatin. The domains are stable across different cell types and highly conserved across species, indicating that topological domains are an inherent property of mammalian genomes. Finally, we find that the boundaries of topological domains are enriched for the insulator binding protein CTCF, housekeeping genes, transfer RNAs and short interspersed element (SINE) retrotransposons, indicating that these factors may have a role in establishing the topological domain structure of the genome.
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In the citing paper
“Second, it was demonstrated that eukaryotic chromosomes are partitioned into so-called topologically associated domains (TADs) [35,36,37], which appear to restrict the areas of enhancer action [38,39,40,41].”
From Enhancer Function in the 3D Genome (2023) · cites this paper as [36]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“metazoan genomes are organised into megabase-scale segregated domains that are often invariant between cell types, termed topologically associating domains (TADs) [432–434].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [432]
In the citing paper
“loop extrusion mediated by cohesin and CTCF mediates the formation of chromatin loops and self-interacting Topologically Associating Domains (TADs)”
From Neuronal DNA double-strand breaks lead to genome structural variations and 3D genome disruption in neurodegeneration (2023) · cites this paper as [84]
In the citing paper
“The mouse α-globin cluster is located in close proximity to a cluster of 10 widely expressed genes near the boundary of a ~1Mb TAD as defined by Dixon et al (Fig. 1A)12.”
From Tissue-specific CTCF-cohesin-mediated chromatin architecture delimits enhancer interactions and function in vivo (2017) · cites this paper as [12]
In the citing paper
“Mammalian genomes are organized into a hierarchy of Megabase (Mb)-scale topologically associating domains (TADs) (Dixon et al., 2012; Nora et al., 2012) and smaller, nested subTADs (Dixon et al., 2012; Nora et al., 2012; Phillips-Cremins et al., 2013; Rao et al., 2014).”
From Disease-Associated Short Tandem Repeats Co-localize with Chromatin Domain Boundaries (2018) · cites this paper as Dixon et al., 2012
In the citing paper
“Consistent with previous reports, we found enrichment for the architectural protein CCCTC-binding factor (CTCF) at human ES cell boundaries compared to loci internal to domains (Figure S6A-B) (Dixon et al., 2012; Nora et al., 2012; Phillips-Cremins et al., 2013).”
From Disease-Associated Short Tandem Repeats Co-localize with Chromatin Domain Boundaries (2018) · cites this paper as Dixon et al., 2012
In the citing paper
“At intermediate scales (100 kb to 1 Mb), a major discovery is the existence of topologically associating domains (TADs) (Dixon et al., 2012, Nora et al., 2012, Sexton et al., 2012).”
From Multiscale 3D Genome Rewiring during Mouse Neural Development (2017) · cites this paper as Dixon et al., 2012
In the citing paper
“The third set of boundaries appear to represent repeats (Figure 2B), consistent with previous findings (Dixon et al., 2012).”
From Multiscale 3D Genome Rewiring during Mouse Neural Development (2017) · cites this paper as Dixon et al., 2012
In the citing paper
“Therefore, although we confirmed that most TAD boundaries are conserved (Dixon et al., 2012), novel borders can occur at promoters of developmentally regulated genes.”
From Multiscale 3D Genome Rewiring during Mouse Neural Development (2017) · cites this paper as Dixon et al., 2012
In the citing paper
“Recent chromosome conformation studies have revealed that mammalian chromosomes are structured into largely tissue-invariant TADs in which the DNA interactions are more frequent within a given domain than with regions in other domains4,5.”
From Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer (2020) · cites this paper as [4]
In the citing paper
“Furthermore, we observed known TAD boundary signatures4 around our boundary calls for each cell type (Extended Data Fig. 1c).”
From Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer (2020) · cites this paper as [4]
In the citing paper
“The median distance between the common boundaries was approximately 750 kb, consistent with the reported median TAD size in human cells4,19 (Extended Data Fig. 1e).”
From Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer (2020) · cites this paper as [4]
In the citing paper
“Furthermore, it has also been suggested that SVs could lead to TAD fusions40 (also referred to as neo-TADs3,4);”
From Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer (2020) · cites this paper as [4]
In the citing paper
“TADs were identified through Hi-C3,4 and their existence have since been confirmed by alternative methods such as intrinsic 3C (i3C),18 which avoids the cross-linking step and Genome Architecture Mapping (GAM),19 which avoids the ligation step.”
From Recent evidence that TADs and chromatin loops are dynamic structures (2018) · cites this paper as [4]
In the citing paper
“TADs are somewhat conserved between different cell types and different species.4,20”
From Recent evidence that TADs and chromatin loops are dynamic structures (2018) · cites this paper as [4]
In the citing paper
“First, chromatin is organized into Topological Associating Domains (TADs) that are characterized by preferential contacts between loci inside the same TAD and insulation from loci in adjacent TADs.3,4”
From Recent evidence that TADs and chromatin loops are dynamic structures (2018) · cites this paper as [4]
In the citing paper
“suggesting an important functional role of CTCF and cohesin in TAD formation and maintenance (Fig. 2A).”
From Recent evidence that TADs and chromatin loops are dynamic structures (2018) · cites this paper as [4]
In the citing paper
“Finally, ∼18% of TAD boundaries appear to be partially resistant to CTCF loss,10 suggesting that additional boundary factors, such as active promoters4 since engaged RNA Pol II can block cohesin extrusion46 as well as alternative architectural factors, may also play a role.”
From Recent evidence that TADs and chromatin loops are dynamic structures (2018) · cites this paper as [4]
In the citing paper
“After TADs were discovered through Hi-C studies, it quickly became clear that TAD boundaries are near universally enriched in CTCF and cohesin ChIP-Seq peaks,3,4,16”
From Recent evidence that TADs and chromatin loops are dynamic structures (2018) · cites this paper as [4]
In the citing paper
“These TADs, which have similar boundaries in all human cell types examined, have been proposed to constrain enhancer-gene interactions because most DNA contacts occur within the TADs (Dixon et al., 2015; Dixon et al., 2012).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Dixon et al., 2012
In the citing paper
“These TADs, which have similar boundaries in all human cell types examined, have been proposed to constrain enhancer-gene interactions because most DNA contacts occur within the TADs (Dixon et al., 2015; Dixon et al., 2012).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Dixon et al., 2012
In the citing paper
“Furthermore, individual chromosomes are partitioned into megabase- sized topologically associating domains (TADs), regions with relatively high intradomain DNA interaction frequencies as measured by Hi-C chromosome conformation capture data (Dixon et al., 2012; Nora et al., 2012).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Dixon et al., 2012
In the citing paper
“Nonetheless, the TADs identified by processing Hi-C data with the Hidden Markov algorithm (Dixon et al., 2012; Nora et al., 2012) can also be identified when this algorithm is used to process cohesin ChIA-PET data (Ji et al., 2016).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Dixon et al., 2012
In the citing paper
“Studies on TADs have estimated that most TAD boundaries are shared by any two cell types (Dixon et al., 2015; Dixon et al., 2012).”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Dixon et al., 2012
In the citing paper
“the striking similarity of TAD boundaries across cell types (Dixon et al., 2015; Dixon et al., 2012)”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as Dixon et al., 2012
In the citing paper
“genome-wide, high-resolution understanding of chromosome cell-cycle dynamics11 is still limited by current technologies”
From Cell-cycle dynamics of chromosomal organization at single-cell resolution (2017) · cites this paper as [5]
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Citations
Cites
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
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
Domain organization of human chromosomes revealed by mapping of nuclear lamina interactions
Guelen, L., Pagie, L., Brasset, É., Meuleman, W. R. A., Faza, M. B., Talhout, W., Eussen, B. H. J., de Klein, A., Wessels, L. F. A., de Laat, W. L., et al. (2008) · Nature · doi:10.1038/nature06947 · Cited by 2,042
A long noncoding RNA maintains active chromatin to coordinate homeotic gene expression
Wang, K., Yang, Y. W., Liu, B., Sanyal, A., Corces, M. R., Chen, Y., Lajoie, B. R., Protacio, A., Flynn, R. A., Gupta, R. A., et al. (2011) · Nature · doi:10.1038/nature09819 · Cited by 2,005
Three-dimensional folding and functional organization principles of the Drosophila genome
Sexton, T., Yaffe, E., Kenigsberg, E., Bantignies, F., Leblanc, B., Hoichman, M., Parrinello, H., Tanay, A., & Cavalli, G. (2012) · Cell · doi:10.1016/j.cell.2012.01.010 · Cited by 1,983
Mediator and cohesin connect gene expression and chromatin architecture
Kagey, M. H., Newman, J. J., Bilodeau, S., Zhan, Y., Orlando, D. A., van Berkum, N. L., Ebmeier, C. C., Goossens, J., Rahl, P. B., Levine, S. S., et al. (2010) · Nature · doi:10.1038/nature09380 · Cited by 1,939
CTCF: Master Weaver of the Genome
Phillips‐Cremins, J. E., & Corces, V. G. (2009) · Cell · doi:10.1016/j.cell.2009.06.001 · Cited by 1,585
Connecting microRNA Genes to the Core Transcriptional Regulatory Circuitry of Embryonic Stem Cells
Marson, A., Levine, S. S., Cole, M. F., Frampton, G. M., Brambrink, T., Johnstone, S. E., Guenther, M. G., Johnston, W. K., Wernig, M., Newman, J. J., et al. (2008) · Cell · doi:10.1016/j.cell.2008.07.020 · Cited by 1,405
A map of the cis-regulatory sequences in the mouse genome
Shen, Y., Yue, F., McCleary, D. F., Ye, Z., Edsall, L., Kuan, S., Wagner, U., Dixon, J., Lee, L., Lobanenkov, V. V., et al. (2012) · Nature · doi:10.1038/nature11243 · Cited by 1,361 · cited 3×
“H3K4me3, H3K4me1, H3K27ac, p300, CTCF, ChIPseq, mESC and cortex RNA-seq Figures 1-4, Supplemental Figures 5,10,2023 Shen, Y. et al. A Map of cis-Regulatory Sequences in the Mouse Genome. in submission (2012).(32) Lung Fibroblast 5C Supplemental Figure 4 Wang, K.C. et al. A long noncoding RNA maintains active chromatin…”
BackgroundInfluentialSelf-citationChromosome TerritoriesPreprint
Cremer, T. J., & Cremer, M. (2010) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a003889 · Cited by 1,195
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Mechanisms of Chromosome Folding and Nuclear Organization: Their Interplay and Open QuestionsPreprint
Mirny, L. A., & Dekker, J. (2021) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a040147 · Cited by 111
Barrington, C., Georgopoulou, D., Pezic, D., Varsally, W., Herrero, J., & Hadjur, S. (2019) · Nature Communications · doi:10.1038/s41467-019-10725-9 · Cited by 102
The three-dimensional genome organization of Drosophila melanogaster through data integration
Li, Q., Tjong, H., Li, X., Gong, K. Q., Zhou, X. J., Chiolo, I., & Alber, F. (2017) · Genome biology · doi:10.1186/s13059-017-1264-5 · Cited by 101
A TAD boundary is preserved upon deletion of the CTCF-rich Firre locus
Barutcu, A. R., Maass, P. G., Lewandowski, J. P., Weiner, C. L., & Rinn, J. L. (2018) · Nature Communications · doi:10.1038/s41467-018-03614-0 · Cited by 101
Shinkai, S., Nozaki, T., Maeshima, K., & Togashi, Y. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005136 · Cited by 101
Genome-wide stability of the DNA replication program in single mammalian cells
Takahashi, S., Miura, H., Shibata, T., Nagao, K., Okumura, K., Ogata, M., Obuse, C., Takebayashi, S., & Hiratani, I. (2019) · Nature Genetics · doi:10.1038/s41588-019-0347-5 · Cited by 110
To loop or not to loop: what is the role of TADs in enhancer function and gene regulation?
Cavalheiro, G. R., Pollex, T., & Furlong, E. E. M. (2021) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2020.12.015 · Cited by 108
Advances in bulk and single-cell multi-omics approaches for systems biology and precision medicine
Li, Y., Ma, L., Wu, D., & Chen, G. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab024 · Cited by 111
Self-citationDynamic transcriptome and chromatin architecture in granulosa cells during chicken folliculogenesis
Li, D., Ning, C., Zhang, J., Wang, Y., Tang, Q., Kui, H., Wang, T., He, M., Jin, L. G., Li, J., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27800-9 · Cited by 102
Epigenetic regulators in cancer therapy and progression
Marei, H. E. S. (2025) · npj Precision Oncology · doi:10.1038/s41698-025-01003-7 · Cited by 116
Kennedy, A. L., Vallurupalli, M., Chen, L., Crompton, B. D., Cowley, G. S., Vázquez, F., Weir, B. A., Tsherniak, A., Parasuraman, S., Kim, S., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.4903 · Cited by 105
A collagen VI–dependent pathogenic mechanism for Hirschsprung’s disease
Soret, R., Mennetrey, M., Bergeron, K., Dariel, A., Neunlist, M., Righini‐Grunder, F., Faure, C. C., Silversides, D. W., Pilon, N., & for the Ente-Hirsch study group (2015) · Journal of Clinical Investigation · doi:10.1172/jci83178 · Cited by 107
CTCF as a boundary factor for cohesin-mediated loop extrusion: evidence for a multi-step mechanism
Hansen, A. S. (2020) · Nucleus · doi:10.1080/19491034.2020.1782024 · Cited by 101
Architectural proteins: regulators of 3D genome organization in cell fate
Gómez‐Díaz, E., & Corces, V. G. (2014) · Trends in Cell Biology · doi:10.1016/j.tcb.2014.08.003 · Cited by 107
Co-regulation of paralog genes in the three-dimensional chromatin architecture
Ibn-Salem, J., Muro, E. M., & Andrade-Navarro, M. A. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw813 · Cited by 101
Systematic identification of regulatory variants associated with cancer risk
Liu, S., Liu, Y., Zhang, Q., Wu, J., Liang, J., Yu, S., Wei, G., White, K. P., & Wang, X. (2017) · Genome biology · doi:10.1186/s13059-017-1322-z · Cited by 100
Neurobiological functions of transcriptional enhancers
Nord, A. S., & West, A. E. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0538-5 · Cited by 106
Co-opted transposons help perpetuate conserved higher-order chromosomal structures
Choudhary, M. N. K., Friedman, R. Z., Wang, J. T., Jang, H. J., Zhuo, X., & Wang, T. (2020) · Genome biology · doi:10.1186/s13059-019-1916-8 · Cited by 110
Molecular endocrinology of vitamin D on the epigenome level
Carlberg, C. (2017) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2017.03.016 · Cited by 100
Zhang, X., Liu, X., Du, Z., Wei, L., Fang, H., Dong, Q., Niu, J., Li, Y., Gao, J. T., Zhang, M. Q., et al. (2021) · Genome Research · doi:10.1101/gr.275235.121 · Cited by 103
Self-citationIntragenic Enhancers Attenuate Host Gene Expression
Cinghu, S., Yang, P., Kosak, J. P., Conway, A. E., Kumar, D., Oldfield, A. J., Adelman, K., & Jothi, R. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.09.010 · Cited by 100
HiNT: a computational method for detecting copy number variations and translocations from Hi-C data
Wang, S., Lee, S., Chu, C., Jain, D., Kerpedjiev, P., Nelson, G. M., Walsh, J. M., Alver, B. H., & Park, P. J. (2020) · Genome Biology · doi:10.1186/s13059-020-01986-5 · Cited by 99
Wang, Z., Wang, X., Lu, T., Li, M., Jiang, P., Zhao, J., Liu, S., Fu, X., Wendel, J. F., de Peer, Y. V., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29561-5 · Cited by 101
Ephemeral Protein Binding to DNA Shapes Stable Nuclear Bodies and Chromatin Domains
Brackley, C. A., Liebchen, B., Michieletto, D., Mouvet, F., Cook, P. R., & Marenduzzo, D. (2017) · Biophysical Journal · doi:10.1016/j.bpj.2017.01.025 · Cited by 98
Lin, D., Hong, P., Zhang, S., Xu, W., Jamal, M., Yan, K., Lei, Y., Li, L., Ruan, Y., Fu, Z. F., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0111-2 · Cited by 100
Lamin B1 mapping reveals the existence of dynamic and functional euchromatin lamin B1 domains
Pascual‐Reguant, L., Blanco, E., Galan, S., Dily, F. L., Cuartero, Y., Serra‐Bardenys, G., Carlo, V. D., Iturbide, A., Cebrià‐Costa, J. P., Nonell, L., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05912-z · Cited by 105
Cuadrado, A., Giménez-Llorente, D., Kojic, A., Rodríguez-Corsino, M., Cuartero, Y., Martín‐Serrano, G., Goméz-López, G., Martı́-Renom, M. A., & Losada, A. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.05.078 · Cited by 105
Smrek, J., Chubak, I., Likos, C. N., & Kremer, K. (2020) · Nature Communications · doi:10.1038/s41467-019-13696-z · Cited by 98
A predictable conserved DNA base composition signature defines human core DNA replication origins
Akerman, İ., Kasaai, B., Bazarova, A., Sang, P. B., Peiffer, I., Artufel, M., Derelle, R., Smith, G., Rodríguez‐Martínez, M., Romano, M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18527-0 · Cited by 98
Thomas, H. F., Kotova, E., Jayaram, S., Pilz, A., Romeike, M., Lackner, A., Penz, T., Bock, C., Leeb, M., Halbritter, F., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2020.12.047 · Cited by 98
Chetverina, D., Aoki, T., Erokhin, M., Georgiev, P. G., & Schedl, P. D. (2013) · BioEssays · doi:10.1002/bies.201300125 · Cited by 97
3C and 3C-based techniques: the powerful tools for spatial genome organization deciphering
Han, J., Zhang, Z., & Wang, K. (2018) · Molecular Cytogenetics · doi:10.1186/s13039-018-0368-2 · Cited by 104
Pre-established Chromatin Interactions Mediate the Genomic Response to Glucocorticoids
D’Ippolito, A. M., McDowell, I. C., Barrera, A., Hong, L. K., Leichter, S. M., Bartelt, L. C., Vockley, C. M., Majoros, W. H., Safi, A., Song, L., et al. (2018) · Cell Systems · doi:10.1016/j.cels.2018.06.007 · Cited by 106
Smchd1 regulates long-range chromatin interactions on the inactive X chromosome and at Hox clusters
Jansz, N., Keniry, A., Trussart, M., Bildsoe, H., Beck, T. J., Tonks, I. D., Mould, A. W., Hickey, P. F., Breslin, K. A., Iminitoff, M., et al. (2018) · Nature Structural & Molecular Biology · doi:10.1038/s41594-018-0111-z · Cited by 101
Hi-C analysis: from data generation to integration
Pal, K., Forcato, M., & Ferrari, F. (2018) · Biophysical Reviews · doi:10.1007/s12551-018-0489-1 · Cited by 102
The Nuclear Lamina as an Organizer of Chromosome Architecture
Shevelyov, Y. Y., & Ulianov, S. V. (2019) · Cells · doi:10.3390/cells8020136 · Cited by 102
Yang, M., Vesterlund, M., Siavelis, I., Moura‐Castro, L. H., Castor, A., Fioretos, T., Jafari, R., Lilljebjörn, H., Odom, D. T., Olsson, L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09469-3 · Cited by 101
Rfx2 Stabilizes Foxj1 Binding at Chromatin Loops to Enable Multiciliated Cell Gene Expression
Quigley, I. K., & Kintner, C. R. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006538 · Cited by 103
Building a sequence map of the pig pan-genome from multiple de novo assemblies and Hi-C data
Tian, X., Li, R., Fu, W., Li, Y., Wang, X., Li, M., Du, D., Tang, Q., Cai, Y., Long, Y., et al. (2019) · Science China Life Sciences · doi:10.1007/s11427-019-9551-7 · Cited by 98
Self-citationHor, C. N., Yeung, J., Jan, M., Emmenegger, Y., Hubbard, J. T., Xénarios, I., Naef, F., & Franken, P. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1910590116 · Cited by 100
Fluid-like chromatin: Toward understanding the real chromatin organization present in the cell
Maeshima, K., Tamura, S., Hansen, J. C., & Itoh, Y. (2020) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2020.02.016 · Cited by 101
Okabe, A., Huang, K., Matsusaka, K., Masaki, F., Xing, M., Ong, X., Hoshii, T., Usui, G., Seki, M., Mano, Y., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0665-7 · Cited by 88
TIGER: The gene expression regulatory variation landscape of human pancreatic islets
Alonso, L., Piron, A., Morán, I., Guindo-Martínez, M., Bonàs‐Guarch, S., Atla, G., Miguel-Escalada, I., Royo, R., Puiggròs, M., Garcia-Hurtado, X., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109807 · Cited by 99
Structural variants drive context-dependent oncogene activation in cancer
Xu, Z., Lee, D.-S., Chandran, S., Le, V. T., Bump, R., Yasis, J., Dallarda, S., Marcotte, S., Clock, B., Haghani, N. K., et al. (2022) · Nature · doi:10.1038/s41586-022-05504-4 · Cited by 98
Self-citationWidespread contribution of transposable elements to the rewiring of mammalian 3D genomes
Choudhary, M. N. K., Quaid, K., Xing, X., Schmidt, H. K., & Wang, T. (2023) · Nature Communications · doi:10.1038/s41467-023-36364-9 · Cited by 102
Crispatzu, G., Rehimi, R., Pachano, T., Bleckwehl, T., Cruz-Molina, S., Xiao, C., Mahabir, E., Bazzi, H., & Rada-Iglesias, A. (2021) · Nature Communications · doi:10.1038/s41467-021-24641-4 · Cited by 97
A survey of tissue-specific genomic imprinting in mammals
Prickett, A. R., & Oakey, R. J. (2012) · Molecular Genetics and Genomics · doi:10.1007/s00438-012-0708-6 · Cited by 96
Epigenetics and epitranscriptomics in temporal patterning of cortical neural progenitor competence
Yoon, K., Vissers, C. B., Ming, G., & Song, H. (2018) · The Journal of Cell Biology · doi:10.1083/jcb.201802117 · Cited by 96
CscoreTool: fast Hi-C compartment analysis at high resolution
Zheng, X., & Zheng, Y. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx802 · Cited by 96
Michieletto, D., Orlandini, E., & Marenduzzo, D. (2016) · Physical Review X · doi:10.1103/physrevx.6.041047 · Cited by 100
DeepHiC: A generative adversarial network for enhancing Hi-C data resolution
Hong, H., Jiang, S., Li, H., Du, G., Sun, Y., Tao, H., Quan, C., Zhao, C., Li, R., Li, W., et al. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007287 · Cited by 97
Topology in soft and biological matter
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Emerging concepts of epigenetic dysregulation in hematological malignancies
Ntziachristos, P., Abdel-Wahab, O. I., & Aifantis, I. (2016) · Nature Immunology · doi:10.1038/ni.3517 · Cited by 99
Lee, B., & Iyer, V. R. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.r111.324962 · Cited by 98
Ordulu, Z., Kammin, T., Brand, H., Pillalamarri, V., Redin, C. E., Collins, R. L., Blumenthal, I., Hanscom, C., Pereira, S., Bradley, I., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.08.022 · Cited by 98
Chen, A. F., Liu, A. J., Krishnakumar, R., Freimer, J. W., DeVeale, B., & Blelloch, R. H. (2018) · Cell stem cell · doi:10.1016/j.stem.2018.06.005 · Cited by 98
Hi-D: nanoscale mapping of nuclear dynamics in single living cells
Shaban, H. A., Barth, R., Recoules, L., & Bystricky, K. (2020) · Genome biology · doi:10.1186/s13059-020-02002-6 · Cited by 100
Unraveling the 3D Genome Architecture in Plants: Present and Future
Ouyang, W., Xiong, D., Li, G., & Li, X. (2020) · Molecular Plant · doi:10.1016/j.molp.2020.10.002 · Cited by 96
Mechanisms of mutational robustness in transcriptional regulation
Payne, J. L., & Wagner, A. (2015) · Frontiers in Genetics · doi:10.3389/fgene.2015.00322 · Cited by 97
Identification of copy number variations and translocations in cancer cells from Hi-C data
Chakraborty, A., & Ay, F. (2018) · Bioinformatics · doi:10.1093/bioinformatics/btx664 · Cited by 94
Chromatin basis of the senescence-associated secretory phenotype
Hao, X., Wang, C., & Zhang, R. (2022) · Trends in Cell Biology · doi:10.1016/j.tcb.2021.12.003 · Cited by 94
FourCSeq: analysis of 4C sequencing data
Klein, F. A., Pakozdi, T., Anders, S., Ghavi-Helm, Y., Furlong, E. E. M., & Huber, W. K. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv335 · Cited by 98
Gene regulation at a distance: From remote enhancers to 3D regulatory ensembles
Spitz, F. (2016) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2016.06.017 · Cited by 99
The architecture of neutrophil extracellular traps investigated by atomic force microscopy
Pires, R. H., Felix, S. B., & Delcea, M. (2016) · Nanoscale · doi:10.1039/c6nr03416k · Cited by 101
UMI-4C for quantitative and targeted chromosomal contact profiling
Schwartzman, O., Mukamel, Z., Elkayam, N. O., Olivares‐Chauvet, P., Lubling, Y., Landan, G., Izraeli, S., & Tanay, A. (2016) · Nature Methods · doi:10.1038/nmeth.3922 · Cited by 97
Visualizing long-term single-molecule dynamics in vivo by stochastic protein labeling
Liu, H., Dong, P., Ioannou, M. S., Li, L., Shea, J., Pasolli, H. A., Grimm, J. B., Rivlin, P. K., Lavis, L. D., Koyama, M., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1713895115 · Cited by 95
Chen, X., Zhu, D., Yang, M. G., Hu, W., Duan, Y.-Y., Lü, B.-J., Rong, Y., Dong, S., Hao, R.-H., Chen, J., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.03.001 · Cited by 95
Promoter-Enhancer Communication Occurs Primarily within Insulated Neighborhoods
Sun, F., Chronis, C., Kronenberg, M., Chen, X., Su, T., Lay, F. D., Plath, K., Kurdistani, S. K., & Carey, M. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.10.039 · Cited by 94
Chromosome territories and the global regulation of the genome
Fritz, A. J., Sehgal, N., Pliss, A., Xu, J., & Berezney, R. (2019) · Genes Chromosomes and Cancer · doi:10.1002/gcc.22732 · Cited by 102
Miura, H., Takahashi, S., Poonperm, R., Tanigawa, A., Takebayashi, S., & Hiratani, I. (2019) · Nature Genetics · doi:10.1038/s41588-019-0474-z · Cited by 98
Identification of atrial fibrillation associated genes and functional non-coding variants
van Ouwerkerk, A. F., Bosada, F. M., van Duijvenboden, K., Hill, M. C., Montefiori, L. E., Scholman, K. T., Liu, J., de Vries, A. A. F., Boukens, B. J., Ellinor, P. T., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12721-5 · Cited by 94
Self-citationSYCP2 Translocation-Mediated Dysregulation and Frameshift Variants Cause Human Male Infertility
Schilit, S. L. P., Menon, S., Friedrich, C., Kammin, T., Wilch, E., Hanscom, C., Jiang, S., Kliesch, S., Talkowski, M. E., Tüttelmann, F., et al. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.11.013 · Cited by 96
Wang, M., Li, Z., Zhang, Y., Zhang, Y., Xie, Y., Ye, L., Zhuang, Y., Lin, K., Zhao, F., Guo, J., et al. (2021) · The Plant Cell · doi:10.1093/plcell/koab028 · Cited by 95
Reorganization of the 3D chromatin architecture of rice genomes during heat stress
Liang, Z., Zhang, Q., Ji, C., Hu, G., Zhang, P., Wang, Y., Yang, L., & Gu, X. (2021) · BMC Biology · doi:10.1186/s12915-021-00996-4 · Cited by 94
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Carlberg, C., Raczyk, M., & Zawrotna, N. (2023) · Redox Biology · doi:10.1016/j.redox.2023.102695 · Cited by 94
Density imaging of heterochromatin in live cells using orientation-independent-DIC microscopy
Imai, R., Nozaki, T., Tani, T., Kaizu, K., Hibino, K., Ide, S., Tamura, S., Takahashi, K., Shribak, M. I., & Maeshima, K. (2017) · Molecular Biology of the Cell · doi:10.1091/mbc.e17-06-0359 · Cited by 94
Centromere Tethering Confines Chromosome Domains
Verdaasdonk, J. S., Vásquez, P. A., Barry, R. M., Barry, T., Goodwin, S., Forest, M. G., & Bloom, K. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.10.021 · Cited by 100
Wang, X., Cui, W., & Peng, C. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx735 · Cited by 94
The physical size of transcription factors is key to transcriptional regulation in chromatin domains
Maeshima, K., Kaizu, K., Tamura, S., Nozaki, T., Kokubo, T., & Takahashi, K. (2015) · Journal of Physics Condensed Matter · doi:10.1088/0953-8984/27/6/064116 · Cited by 93
Chromatin loops, gene positioning, and gene expression
Holwerda, S. J. B., & de Laat, W. L. (2012) · Frontiers in Genetics · doi:10.3389/fgene.2012.00217 · Cited by 98
Stavreva, D. A., Coulon, A., Baek, S., Sung, M., John, S., Stixová, L., Tesikova, M., Hakim, O., Miranda, T. B., Hawkins, M. E., et al. (2015) · Genome Research · doi:10.1101/gr.184168.114 · Cited by 97
Down-syndrome-induced senescence disrupts the nuclear architecture of neural progenitors
Meharena, H. S., Marco, A., Dileep, V., Lockshin, E. R., Akatsu, G. Y., Mullahoo, J., Watson, L. A., Ko, T., Guerin, L. N., Abdurrob, F., et al. (2022) · Cell Stem Cell · doi:10.1016/j.stem.2021.12.002 · Cited by 92
The RNA Pol II Elongation Factor Ell3 Marks Enhancers in ES Cells and Primes Future Gene Activation
Lin, C., Garruss, A. S., Luo, Z., Guo, F., & Shilatifard, A. (2012) · Cell · doi:10.1016/j.cell.2012.12.015 · Cited by 96
Sun, X., Wang, X., Tang, Z., Grivainis, M., Kahler, D. J., Yun, C., Mita, P., Fenyö, D., & Boeke, J. D. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1722565115 · Cited by 98
Nand, A., Zhan, Y., Salazar, O. R., Aranda, M., Voolstra, C. R., & Dekker, J. (2021) · Nature Genetics · doi:10.1038/s41588-021-00841-y · Cited by 92
Li, M. A., Pettitt, S. J., Eckert, S. E., Ning, Z., Rice, S., Cadiñanos, J., Yusa, K., Conte, N., & Bradley, A. (2013) · Molecular and Cellular Biology · doi:10.1128/mcb.00670-12 · Cited by 92
Historical and Clinical Perspectives on Chromosomal Translocations
Wilch, E., & Morton, C. C. (2018) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-0593-1_1 · Cited by 96
The Nuclear LaminaPreprint
Wong, X., Melendez-Perez, A. J., & Reddy, K. L. (2021) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a040113 · Cited by 97
Identification of dynamic glucocorticoid-induced methylation changes at the FKBP5 locus
Wiechmann, T., Röh, S., Sauer, S., Czamara, D., Arloth, J., Ködel, M., Beintner, M., Knop, L., Menke, A., Binder, E. B., et al. (2019) · Clinical Epigenetics · doi:10.1186/s13148-019-0682-5 · Cited by 81
Short-term memory of danger signals and environmental stimuli in immune cells
Monticelli, S., & Natoli, G. (2013) · Nature Immunology · doi:10.1038/ni.2636 · Cited by 92
TADtool: visual parameter identification for TAD-calling algorithms
Kruse, K., Hug, C. B., Hernández-Rodríguez, B., & Vaquerizas, J. M. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw368 · Cited by 91
McGovern, A., Schoenfelder, S., Martin, P., Massey, J., Duffus, K., Plant, D., Yarwood, A., Pratt, A. G., Anderson, A. E., Isaacs, J. D., et al. (2016) · Genome biology · doi:10.1186/s13059-016-1078-x · Cited by 91
Form and function of topologically associating genomic domains in budding yeast
Eser, U., Chandler-Brown, D. B., Ay, F., Straight, A. F., Duan, Z., Noble, W. S., & Skotheim, J. M. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612256114 · Cited by 97
Medina‐Gómez, C., Kemp, J. P., Dimou, N. L., KREINER, E. B., Chesi, A., Zemel, B. S., Bønnelykke, K., Boer, C. G., Ahluwalia, T. S., Bisgaard, H. F., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00108-3 · Cited by 93
Systematic Analysis of the Determinants of Gene Expression Noise in Embryonic Stem Cells
Faure, A. J., Schmiedel, J. M., & Lehner, B. (2017) · Cell Systems · doi:10.1016/j.cels.2017.10.003 · Cited by 92
Pulikkan, J. A., Hegde, M. B., Ahmad, H. M., Belaghzal, H., Illendula, A., Yu, J., O’Hagan, K., Ou, J., Müller‐Tidow, C., Wolfe, S. A., et al. (2018) · Cell · doi:10.1016/j.cell.2018.05.048 · Cited by 92
Ghosh, S. K., & Jost, D. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006159 · Cited by 94
OnTAD: hierarchical domain structure reveals the divergence of activity among TADs and boundaries
An, L., Yang, T., Yang, J., Nuebler, J., Xiang, G., Hardison, R. C., Li, Q., & Zhang, Y. (2019) · Genome biology · doi:10.1186/s13059-019-1893-y · Cited by 91
Large DNA Methylation Nadirs Anchor Chromatin Loops Maintaining Hematopoietic Stem Cell Identity
Zhang, X., Jeong, M., Huang, X., Wang, X. Q. D., Wang, X., Zhou, W., Shamim, M. S., Gore, H., Himadewi, P., Liu, Y., et al. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.04.018 · Cited by 95
Epigenomes of Human Hearts Reveal New Genetic Variants Relevant for Cardiac Disease and Phenotype
Tan, W. L. W., Anene-Nzelu, C. G., Wong, E., Lee, C. J. M., Tan, H. S., Tang, S. J., Perrin, A., Wu, K. X., Zheng, W., Ashburn, R. J., et al. (2020) · Circulation Research · doi:10.1161/circresaha.120.317254 · Cited by 93
Metadata
- Authors
- Dixon, J. R., Selvaraj, S., Yue, F., Kim, A., Li, Y., Shen, Y., Hu, M., Liu, J. S., & Ren, B.
- Affiliations
- Ludwig Cancer Research (BE)
- Harvard University (US)
- Corresponding author
- Ren, Bing
- Venue
- Nature
- Published
- 2012-04-11
- Volume
- 485
- Issue
- 7398
- Pages
- 376-380
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3356448
- OpenAlex
- W2070021921
- Cited by
- 6,829
- References
- 33
- Citations by year
- 2026: 356 · 2025: 432 · 2024: 550 · 2023: 544 · 2022: 567 · 2021: 690 · 2020: 661 · 2019: 629 · 2018: 568 · 2017: 524 · 2016: 423 · 2015: 351 · 2014: 237 · 2013: 220 · 2012: 66
- FWCI
- 112.45
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Centers for Disease Control and Prevention (R01GH003991)
- National Human Genome Research Institute (R01HG003991)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Chromosomal and Genetic Variations
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Keywords
- topological domains, 3D genome organization, chromatin interactions, topologically associating domains, Hi-C, 5C, mouse X chromosome, X inactivation center, CTCF, heterochromatin, chromosome territories, embryonic stem cells, SINE retrotransposons
- MeSH terms
- CCCTC-Binding Factor, Animals, Binding Sites, Cell Differentiation, Chromatin, Chromosomes, Female, Heterochromatin, Humans, Male, Mammals, Repressor Proteins, RNA, Transfer, Genome, Evolution, Molecular, Genes, Essential, Short Interspersed Nucleotide Elements, Mice, Embryonic Stem Cells
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