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The 4D nucleome project
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Abstract
The 4D Nucleome Network aims to develop and apply approaches to map the structure and dynamics of the human and mouse genomes in space and time with the goal of gaining deeper mechanistic insights into how the nucleus is organized and functions. The project will develop and benchmark experimental and computational approaches for measuring genome conformation and nuclear organization, and investigate how these contribute to gene regulation and other genome functions. Validated experimental technologies will be combined with biophysical approaches to generate quantitative models of spatial genome organization in different biological states, both in cell populations and in single cells.
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““4D mapping” of chromatin interactions (i.e., brain regions across developmental time) is critical for understanding the functional relationships of regulatory regions to genes (Dekker et al., 2017)”
From Defining the genetic, genomic, cellular, and diagnostic architectures of psychiatric disorders (2019) · cites this paper as Dekker et al., 2017
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An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Self-citationA 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
Imaging Intracellular Fluorescent Proteins at Nanometer Resolution
Betzig, E., Patterson, G. H., Sougrat, R., Lindwasser, O. W., Olenych, S. G., Bonifacino, J. S., Davidson, M. W., Lippincott‐Schwartz, J., & Hess, H. F. (2006) · Science · doi:10.1126/science.1127344 · Cited by 8,941
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
Self-citationSub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)
Rust, M., Bates, M., & Zhuang, X. (2006) · Nature Methods · doi:10.1038/nmeth929 · Cited by 7,823
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
Self-citationIntegrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368
Self-citationSystematic 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
Ultra-High Resolution Imaging by Fluorescence Photoactivation Localization Microscopy
Hess, S. T., Girirajan, T. P. K., & Mason, M. D. (2006) · Biophysical Journal · doi:10.1529/biophysj.106.091116 · Cited by 3,684
Capturing Chromosome Conformation
Dekker, J., Rippe, K., Dekker, M., & Kleckner, N. (2002) · Science · doi:10.1126/science.1067799 · Cited by 3,652
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Davis, C. A., Hitz, B. C., Sloan, C. A., Chan, E. T., Davidson, J. M., Gabdank, I., Hilton, J. A., Jain, K., Baymuradov, U. K., Narayanan, A. K., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1081 · Cited by 1,717
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Cremer, T., Cremer, M., Hübner, B., Silahtaroglu, A., Hendzel, M. J., Lanctôt, C., Strickfaden, H., & Cremer, C. G. (2020) · BioEssays · doi:10.1002/bies.201900132 · Cited by 98
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Kim, H.-J., Yardımcı, G. G., Bonora, G., Ramani, V., Liu, J., Qiu, R., Lee, C., Hesson, J., Ware, C. B., Shendure, J., et al. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008173 · Cited by 92
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Wei, X., Yu, X., Peters, D., Marius, C., Sun, T., Shan, R., Ou, J., Lin, X., Yue, F., Li, W., et al. (2022) · Molecular Cell · doi:10.1016/j.molcel.2022.01.023 · Cited by 84
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Yang, N., & Sen, P. (2018) · Aging · doi:10.18632/aging.101617 · Cited by 77
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Lyu, X.-Y., Deng, Y., Huang, X., Li, Z., Fang, G.-Q., Dong, Y., Wang, F.-L., Kang, W., Shen, E.-Z., & Song, C. (2022) · Cell Research · doi:10.1038/s41422-022-00712-z · Cited by 69
Metadata
- Authors
- the 4D Nucleome Network, Dekker, J., Belmont, A. S., Guttman, M., Leshyk, V. O., Lis, J. T., Lomvardas, S., Mirny, L. A., O’Shea, C. C., Park, P. J., Ren, B., Politz, J. C. R., Shendure, J., & Zhong, S.
- Affiliations
- Howard Hughes Medical Institute (US)
- California Institute of Technology (US)
- Cornell University (US)
- Mortimer B. Zuckerman Mind Brain Behavior Institute (US)
- Salk Institute for Biological Studies (US)
- Harvard University (US)
- University of California San Diego (US)
- Corresponding author
- Dekker, Job
- ORCID
- Venue
- Nature
- Published
- 2017-09-14
- Volume
- 549
- Issue
- 7671
- Pages
- 219-226
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5617335
- OpenAlex
- W2584394140
- Cited by
- 732
- References
- 118
- Citations by year
- 2026: 63 · 2025: 74 · 2024: 81 · 2023: 74 · 2022: 96 · 2021: 110 · 2020: 82 · 2019: 73 · 2018: 65 · 2017: 13
- FWCI
- 26.04
- Type
- journal article
- Language
- en
- Update notices
- erratum (2017-11-22)
- Open access
- bronze
- doi.org
- Locations
- Nature (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship@UMassChan (submittedVersion, cc-by-nc-nd)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- ReIn UW (University of Warsaw) (submittedVersion, cc-by-nc-nd)
- Funders
- National Institutes of Health
- National Heart, Lung, and Blood Institute (U01HL129998, U01HL129958)
- National Institute on Drug Abuse (U01DA040582)
- NIH Office of the Director
- National Cancer Institute (U01CA200060)
- National Institute on Deafness and Other Communication Disorders (R01DC013560)
- National Institute of General Medical Sciences (P50GM085764)
- National Institute of Diabetes and Digestive and Kidney Diseases (U54DK107977, U54DK107965, U54DK107980, U54DK107979)
- National Institute of Biomedical Imaging and Bioengineering (U01EB021223)
- Common Fund (1U01DA040709)
- 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 › Molecular Biology › Chromatin Remodeling and Cancer
- Keywords
- 3D genome organization, nuclear organization, gene expression regulation, single-cell genomics, human genome, mouse genome, chromatin dynamics
- MeSH terms
- Animals, Cell Line, Cell Nucleus, Chromatin, Chromosomes, Goals, Humans, Models, Biological, Models, Molecular, Reproducibility of Results, Genome, Genomics, Information Dissemination, Mice, Molecular Imaging, Single-Cell Analysis, Spatio-Temporal Analysis
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