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Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization in the Nucleus
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Abstract
Eukaryotic genomes are packaged into a 3-dimensional structure in the nucleus. Current methods for studying genome-wide structure are based on proximity ligation. However, this approach can fail to detect known structures, such as interactions with nuclear bodies, because these DNA regions can be too far apart to directly ligate. Accordingly, our overall understanding of genome organization remains incomplete. Here, we develop split-pool recognition of interactions by tag extension (SPRITE), a method that enables genome-wide detection of higher-order interactions within the nucleus. Using SPRITE, we recapitulate known structures identified by proximity ligation and identify additional interactions occurring across larger distances, including two hubs of inter-chromosomal interactions that are arranged around the nucleolus and nuclear speckles. We show that a substantial fraction of the genome exhibits preferential organization relative to these nuclear bodies. Our results generate a global model whereby nuclear bodies act as inter-chromosomal hubs that shape the overall packaging of DNA in the nucleus.
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“While both methods could successfully reveal multi-way contacts across TADs and chromosomes, their resolution currently limits robust detection of individual CRUs.”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [403]
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“In the last decade, proximity ligation methods have played an important role in identifying these key interactions, such as promoter and enhancer associations (Kempfer and Pombo, 2020; Oudelaar et al., 2018; Quinodoz et al., 2018).”
From Unraveling Hematopoiesis through the Lens of Genomics (2020) · cites this paper as Quinodoz et al., 2018
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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
Master Transcription Factors and Mediator Establish Super-Enhancers at Key Cell Identity Genes
Whyte, W. A., Orlando, D. A., Hnisz, D., Abraham, B. J., Lin, C. Y., Kagey, M. H., Rahl, P. B., Lee, T. I., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.03.035 · Cited by 4,143
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
Formation of chromosomal domains by loop extrusion
Fudenberg, G., Imakaev, M., Lu, C., Goloborodko, A., Abdennur, N., & Mirny, L. A. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.04.085 · Cited by 2,003
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
Sanborn, A. L., Rao, S. S. P., Huang, S.-C., Durand, N. C., Huntley, M. H., Jewett, A. I., Bochkov, I. D., Chinnappan, D., Cutkosky, A., Li, J., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1518552112 · Cited by 1,730
Boisvert, F., van Koningsbruggen, S., de Navascués, J., & Lamond, A. I. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2184 · Cited by 1,671
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Xing, Z., Mai, H., Liu, X., Fu, X., Zhang, X., Xie, L., Chen, Y., Shlien, A., & Wen, F. (2022) · Genome biology · doi:10.1186/s13059-022-02740-9 · Cited by 7
Novel biological insights revealed from the investigation of multiscale genome architecture
Ding, T., & Zhang, H. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.12.009 · Cited by 7
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Mirny, L. A. (2023) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2023.102610 · Cited by 7
Tian, S. Z., Li, G., Ning, D., Jing, K., Xu, Y., Yang, Y., Fullwood, M. J., Yin, P., Huang, G., Plewczyński, D., et al. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac380 · Cited by 7
Elucidating the structure and function of the nucleus—The NIH Common Fund 4D Nucleome program
Roy, A. L., Conroy, R., Taylor, V. G., Mietz, J. A., Fingerman, I. M., Pazin, M. J., Smith, P., Hutter, C. M., Singer, D. S., & Wilder, E. L. (2023) · Molecular Cell · doi:10.1016/j.molcel.2022.12.025 · Cited by 9
L1 and B1 repeats blueprint the spatial organization of chromatinPreprint
Lu, J. Y., Chang, L., Li, T., Wang, T., Yin, Y., Zhan, G., Zhang, K., Percharde, M., Wang, L., Peng, Q., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/802173 · Cited by 7
GPSeq reveals the radial organization of chromatin in the cell nucleusPreprint
Custodio, J., Kallas, T., Girelli, G., Agostini, F., Wernersson, E., Spanjaard, B., Mota, A., Kolbeinsdóttir, S., Gelali, E., Crosetto, N., et al. (2020) · doi:10.21203/rs.3.pex-570/v1 · Cited by 7
Tian, S. Z., Yang, Y., Ning, D., Fang, K., Jing, K., Huang, G., Xu, Y., Yin, P., Huang, H., Chen, G., et al. (2024) · Science Advances · doi:10.1126/sciadv.ado5716 · Cited by 6
Du, L., Farooq, H., Delafrouz, P., & Liang, J. (2025) · Bioinformatics · doi:10.1093/bioinformatics/btaf050 · Cited by 6
Simulation and Quantitative Analysis of Spatial Centromere Distribution Patterns
Keikhosravi, A., Guin, K., Pegoraro, G., & Misteli, T. (2025) · Cells · doi:10.3390/cells14070491 · Cited by 7
Heterogeneity as a feature: unraveling chromatin’s role in nuclear mechanics
Rodenburg, W. S., Strom, A. R., & Eeftens, J. M. (2025) · Nucleus · doi:10.1080/19491034.2025.2545037 · Cited by 6
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Xiao, S., Luo, L., Yang, M., He, H., & Zhou, Y. (2025) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2025.102786 · Cited by 8
Rajshekar, S., Adame-Arana, O., Bajpai, G., Colmenares, S. U., Papoi, H., Brennan, L. D., Tsukamoto, S., Safran, S. A., & Karpen, G. H. (2025) · Nature Cell Biology · doi:10.1038/s41556-025-01806-7 · Cited by 8
Liu, S., Zhongyang, C., Shen, X., Gao, J., Guo, J., Rong, Y., Li, T., Zhou, F., Si, Y., Zhao, H., et al. (2026) · Molecular Cell · doi:10.1016/j.molcel.2026.03.031 · Cited by 7
Coßmann, J., Kos, P. I., Varamogianni‐Mamatsi, V., Assenheimer, D. S., Bischof, T. A., Kuhn, T., Vomhof, T., Papantonis, A., Giorgetti, L., & Gebhardt, J. C. M. (2025) · Nature Communications · doi:10.1038/s41467-025-56889-5 · Cited by 6
Qu, M., He, Q., Bao, H., Ji, X., Shen, T., Barkat, M. Q., Wu, X., & Zeng, L. (2024) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2024.02.011 · Cited by 6
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Rahman, S., & Roussos, P. (2024) · Neuroscience Insights · doi:10.1177/26331055241293455 · Cited by 7
Fontana, A., Bianco, S., Tafuri, F., Esposito, A., Abraham, A., Conte, M., Vercellone, F., Pierno, F. D., Kundu, S., Guha, S., et al. (2025) · The Journal of Chemical Physics · doi:10.1063/5.0243454 · Cited by 6
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Sas‐Chen, A., Nir, R., & Schwartz, S. (2020) · Methods in molecular biology · doi:10.1007/978-1-0716-0834-0_9 · Cited by 6
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Liu, L., Cao, X., Zhang, B., & Hyeon, C. (2022) · Biophysical Journal · doi:10.1016/j.bpj.2022.09.018 · Cited by 6
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Kariti, H., Feld, T., & Kaplan, N. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkac1258 · Cited by 5
Ghule, P. N., Boyd, J. R., Kabala, F. S., Fritz, A. J., Bouffard, N. A., Gao, C., Bright, K. M., Macfarlane, J. E., Seward, D. J., Pegoraro, G., et al. (2023) · Gene · doi:10.1016/j.gene.2023.147441 · Cited by 6
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Wu, H., Zhou, B., Zhou, H., Zhang, P., & Wang, M. (2023) · Briefings in Functional Genomics · doi:10.1093/bfgp/elad015 · Cited by 7
Salataj, E., Spilianakis, C. G., & Chaumeil, J. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1156077 · Cited by 8
Belan, S., & Parfenyev, V. (2024) · The Journal of Chemical Physics · doi:10.1063/5.0199573 · Cited by 8
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Fujita, T., & Fujii, H. (2019) · Biology Methods and Protocols · doi:10.1093/biomethods/bpz008 · Cited by 6
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Locus-Specific Genomic DNA Purification Using the CRISPR System: Methods and Applications
Fujita, H., Fujita, T., & Fujii, H. (2021) · The CRISPR Journal · doi:10.1089/crispr.2020.0038 · Cited by 6
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Zhang, H.-L., Sun, Y., Saha, S. T., Saha, L. K., Pongor, L. S., Dhall, A., & Pommier, Y. G. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.17.599352 · Cited by 6
Kania, E. E., Bianchi, S., Fenix, A. M., Marciniak, D. M., Li, S., Lin, Q., Casini, M., Hristov, B. H., Truszkowski, L., Skiados, N. G., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.05.622011 · Cited by 6
Coordinating mRNA maturation: The U1 relay model
Yoon, Y., Quan, C., Soles, L. V., & Shi, Y. (2026) · Molecular Cell · doi:10.1016/j.molcel.2026.01.006 · Cited by 8
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Zhong, H., Zhang, J., Lu, Y., Hu, G., Pan, G., & Yao, H. (2023) · Cell Proliferation · doi:10.1111/cpr.13482 · Cited by 4
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Langer, C. C. H., Mitter, M., Stocsits, R. R., & Gerlich, D. W. (2023) · Genome biology · doi:10.1186/s13059-023-02996-9 · Cited by 3
Conte, M., Abraham, A., Esposito, A., Yang, L., Gibcus, J. H., Parsi, K. M., Vercellone, F., Fontana, A., Pierno, F. D., Dekker, J., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms251810215 · Cited by 6
Chen, Y., Lin, Z., Wang, S., Wu, B. M., Niu, L., Zhong, J., Sun, Y., Zheng, Z., Bai, X., Liu, L.-R., et al. (2025) · Nature Structural & Molecular Biology · doi:10.1038/s41594-025-01512-w · Cited by 7
TAF2 condensation in nuclear speckles links basal transcription factor TFIID to RNA splicing factors
Bhuiyan, T., Arecco, N., Mendoza Sanchez, P. K., Kim, J., Schwan, C., Weyrauch, S., Nizamuddin, S., Prunotto, A., Tekman, M., Biniossek, M. L., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115616 · Cited by 5
Evaluation of 3D Chromatin Interactions Using Hi-C
Hu, G. (2020) · Methods in molecular biology · doi:10.1007/978-1-0716-0301-7_3 · Cited by 5
Modification of Nuclear Compartments and the 3D Genome in the Course of a Viral Infection
Razin, S. V., Gavrilov, A. A., & Iarovaia, O. V. (2020) · Acta Naturae · doi:10.32607/actanaturae.11041 · Cited by 5
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Liu, S., & Zhao, K. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.670884 · Cited by 6
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Pairwise Proximity‐Differentiated Visualization of Single‐Cell DNA Epigenetic Marks
Xue, J., Chen, F., Su, L., Cao, X., Bai, M., Zhao, Y., Fan, C., & Zhao, Y. (2020) · Angewandte Chemie · doi:10.1002/ange.202011172 · Cited by 5
Can 3D diploid genome reconstruction from unphased Hi-C data be salvaged?
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Lu, W., Onuchic, J. N., & Pierro, M. D. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011013 · Cited by 5
Fundamental insights into the correlation between chromosome configuration and transcription
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Chen, Z., & Chen, X. (2022) · Genes · doi:10.3390/genes13101864 · Cited by 6
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Agudelo, L. Z., Tuyéras, R., Llinares, C., Morcuende, Á., Park, Y., Sun, N., Linna-Kuosmanen, S., Atabaki‐Pasdar, N., Ho, L., Galani, K., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-716965/v1 · Cited by 5
Topology of gene regulatory compartments relative to the nuclear matrixPreprint
Park, G., Ryu, K., Lee, J.-H., Kim, G., Park, T. L., Shim, H., Lee, Y., Kim, C., & Cho, W. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.10.491284 · Cited by 5
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Chen, Y., Lin, Z., Niu, L., Zhong, J., Liu, Y., Hou, C., Luo, F., & Xiao, C. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.30.514399 · Cited by 6
Rajshekar, S., Adame-Arana, O., Bajpai, G., Colmenares, S. U., Lin, K., Safran, S. A., & Karpen, G. H. (2023) · Research Square · doi:10.1101/2023.07.06.547894 · Cited by 5
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Alexander, K. A., Yu, R., Skuli, N., Coffey, N. J., Nguyen, S. C., Faunce, C. L., Huang, H., Dardani, I. P., Good, A. L., Lim, J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.14.557228 · Cited by 5
Gholamalamdari, O., van Schaik, T., Wang, Y., Kumar, P., Zhang, L., Zhang, Y., Gonzalez, G. A. H., Vouzas, A. E., Zhao, P. A., Gilbert, D. M., et al. (2024) · eLife · doi:10.7554/elife.99116.1 · Cited by 5
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Becker, L. A., Quinodoz, S. A., Comi, T. J., Kimchi, O., Knowles, D. A., & Brangwynne, C. P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.19.649570 · Cited by 5
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Ye, S., Goldfajn, N. B., So, C. L., Inoue, T., & Cai, D. (2025) · SSRN Electronic Journal · doi:10.1101/2025.05.14.654140 · Cited by 5
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Wang, X., Shi, D., Xue, F., Liu, Y., Yang, H., & Jiang, L.-H. (2026) · Nature Communications · doi:10.1038/s41467-026-69082-z · Cited by 4
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Palikyras, S., Varamogianni‐Mamatsi, V., Zhu, Y., Mizi, A., Ramasamy, S., Grini, J. V., Liebermann, I., Stavropoulou, A., Penagos‐Puig, A., Ogurlu-Tank, T. S., et al. (2026) · Nature Aging · doi:10.1038/s43587-026-01171-6 · Cited by 10
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Conte, M., Bianco, S., Esposito, A., Abraham, A., Guha, S., Vercellone, F., Fontana, A., & Pierno, F. D. (2025) · The European Physical Journal Plus · doi:10.1140/epjp/s13360-025-06026-4 · Cited by 4
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Metadata
- Authors
- Quinodoz, S. A., Ollikainen, N., Tabak, B., Palla, A., Schmidt, J. M., Detmar, E., Lai, M. M., Shishkin, A. A., Bhat, P., Takei, Y., Trinh, V., Aznauryan, E., Russell, P., Cheng, C., Jovanovic, M., Chow, A., Cai, L., McDonel, P., Garber, M., & Guttman, M.
- Affiliations
- California Institute of Technology (US)
- University of Massachusetts Chan Medical School (US)
- Colorado School of Public Health (US)
- Boston University (US)
- Corresponding author
- Guttman, Mitchell
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 174
- Issue
- 3
- Pages
- 744-757.e24
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC6548320
- OpenAlex
- W2806123558
- Cited by
- 892
- References
- 108
- Citations by year
- 2026: 78 · 2025: 101 · 2024: 107 · 2023: 115 · 2022: 118 · 2021: 131 · 2020: 112 · 2019: 100 · 2018: 28
- FWCI
- 33.35
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- The Journal of the American Medical Association (JAMA) Network (American Medical Association) (submittedVersion)
- Funders
- HHMI Gilliam Fellowship
- NSF GRFP Fellowship
- NIGMS (T32 GM008042)
- UCLA-Caltech MSTP (NIGMS T32 GM008042)
- NIH 4DN Program (U01 DA040612, U01 HL130007)
- NHGRI GGR Program (U01 HG007910)
- New York Stem Cell Foundation (NYSCF-R-I13)
- Sontag Foundation
- Caltech
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nuclear Structure and Function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Chromosomal and Genetic Variations
- Keywords
- 3D genome organization, interchromosomal interactions, nuclear bodies, nucleolus, nuclear speckles, sprites, long-range chromatin interactions, DNA packaging
- MeSH terms
- Cell Nucleolus, Cell Nucleus, Chromosome Mapping, Chromosomes, DNA, Humans, Structure-Activity Relationship, Genome, Eukaryota
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 ›
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