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3D structures of individual mammalian genomes studied by single-cell Hi-C
Open accessAbstract
The folding of genomic DNA from the beads-on-a-string-like structure of nucleosomes into higher-order assemblies is crucially linked to nuclear processes. Here we calculate 3D structures of entire mammalian genomes using data from a new chromosome conformation capture procedure that allows us to first image and then process single cells. The technique enables genome folding to be examined at a scale of less than 100 kb, and chromosome structures to be validated. The structures of individual topological-associated domains and loops vary substantially from cell to cell. By contrast, A and B compartments, lamina-associated domains and active enhancers and promoters are organized in a consistent way on a genome-wide basis in every cell, suggesting that they could drive chromosome and genome folding. By studying genes regulated by pluripotency factor and nucleosome remodelling deacetylase (NuRD), we illustrate how the determination of single-cell genome structure provides a new approach for investigating biological processes.
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“In regard to chromatin structure, Stevens and colleagues reported that the combination of chromosome conformation capture (3C) and tagged fluorescent imaging was able to detect the folding of a genomic sequence <100bp in a single cell (303).”
From Epigenetic Modifications in Stress Response Genes Associated With Childhood Trauma (2019) · cites this paper as [303]
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“Currently, single-cell Hi-C studies confirm the presence of TADs in individual cells but demonstrate significant variability in their shape (i.e., in the folding of DNA within TADs) [142,143,144,145].”
From Enhancer Function in the 3D Genome (2023) · cites this paper as [144]
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“As for the “population average” limit, single cell Hi-C strategies are developing (Stevens et al. 2017), opening the promising perspective of creating 3D genome models of single cells.”
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“Briefly, this software takes paired FASTQ sequence read files, a reference genome sequence and knowledge of experimental parameters (restriction enzyme type and the range of size of DNA fragments sequenced in the library) to create processed, single-cell or population contact files [12, 18].”
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“According to the previous research in rice single-cell (Zhou et al., 2019), 10 kilobase pixels were chosen as parameters for Nuc_dynamic (https://github.com/tjs23/nuc_dynamics) analysis.”
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“…3D chromatin orgnization through high-throughput sequencing in a genome-wide fashion and the high-resolution chromosome pairwise contact map Lieberman-Aiden et al. (2009); Dixon et al. (2012); Rao et al. (2014); Stevens et al. (2017); Nagano et al. (2017); Tan et al. (2018); Bintu et al. (2018).”
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“…advances in next-generation sequencing (NGS), 3C methods evolved into high-throughput chromosome conformation capture (Hi-C), allowing for genome-wide analysis of chromosomal interactions and providing a more complete view of the organization of the chromatin in humans and other species [10–13].”
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“Extended Data Figure 1d from Stevens et al. (2017) shows an analogous reconstruction at 100kb scale with contacts that are more than distance four apart coloured red.”
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“Additionally, we used the mouse embryonic stem cells (mESCs) cell 1, chromosome 3 and 11 datasets from Stevens et al. (2017).”
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Self-citationAdditional file 1 of Inferring chromosome radial organization from Hi-C data
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Additional file 10 of 3D genome organization in the epithelial-mesenchymal transition spectrum
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Additional file 2 of Normalization and de-noising of single-cell Hi-C data with BandNorm and scVI-3D
Zheng, Y., Shen, S., & Keleş, S. (2022) · Figshare · doi:10.6084/m9.figshare.21351410
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Additional file 1 of Normalization and de-noising of single-cell Hi-C data with BandNorm and scVI-3D
Zheng, Y., Shen, S., & Keleş, S. (2022) · Figshare · doi:10.6084/m9.figshare.21351407
Additional file 2 of 3D genome organization in the epithelial-mesenchymal transition spectrum
Pang, Q. Y., Tan, T. Z., Sundararajan, V., Chiu, Y.-C., Chee, E. Y. W., Chung, V. Y., Choolani, M. A., & Huang, R. Y.-J. (2022) · Figshare · doi:10.6084/m9.figshare.19930413
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TAD boundaries and gene activity are uncoupled
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“First, we use Stevens et al .’s mouse cell structures (Stevens et al. 2017) and encode each chromosome’s coordinates with a continuous color scale.”
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“Mouse embryonic stem cells (ESCs), serving as in vitro proxies for ICM/epiblast-derived pluripotency, have been instrumental in deciphering the molecular crosstalk between transcription factors, epigenetic modifiers, and 3D genome architecture (9–11).”
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Recurrence plot reconstruction reveals chromosomal reorganization before territory formation
Kitanishi, Y., Sugishita, H., Gotoh, Y., & Hirata, Y. (2026) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqag023 · Cited by 2
Peng, Y., Deng, Y., Liu, M., Liu, Z., Li, Y.-H., Zhao, X.-Y., Xing, D., Jia, J., & Ge, H. (2026) · Briefings in Bioinformatics · doi:10.1093/bib/bbag096 · Cited by 1
SCW: building the whole-genome 3D structures based on extremely sparse single-cell Hi-C data
Zhu, H., Liu, T., Shrestha, B., & Wang, Z. (2026) · BMC Bioinformatics · doi:10.1186/s12859-026-06421-3
“We executed Nuc_dynamics [6], a 3D chromatin structure modeling tool, to benchmark against SCW using identical chromosomal inputs.”
InfluentialTAD boundaries and gene activity are uncoupledPreprint
Almansour, F., Fursova, N. A., Keikhosravi, A., Reed, K. S. M., Larson, D. R., Pegoraro, G., & Misteli, T. (2026) · eLife · doi:10.7554/elife.110197.2
Deciphering X chromosome architecture during mouse preimplantation development
Ranisavljevic, N. (2017) · theses.fr (ABES) · doi:10.70675/08dd1e70z4ea4z4fd1zbcf2z153b2944c2eb
Galupa, R. (2017) · theses.fr (ABES) · doi:10.70675/04cc3b8cz6ea7z4c6fzb501z4b35e97f7a72
Richard, G. (2017) · theses.fr (ABES) · doi:10.70675/13dc61a7zece8z4668z9e83zf10f868fbb73 · Cited by 1
3D genome conformation and gene expression in fetal pig muscle at late gestation
Marti-Marimon, M. (2018) · theses.fr (ABES) · doi:10.70675/56caf314z2e9fz486cz9381zaee8e130c16d · Cited by 1
Metadata
- Authors
- Stevens, T. J., Lando, D., Basu, S., Atkinson, L. P., Cao, Y., Lee, S. F., Leeb, M., Wohlfahrt, K. J., Boucher, W., O’Shaughnessy-Kirwan, A., Cramard, J., Faure, A. J., Ralser, M., Blanco, E., Morey, L., Sansó, M., Palayret, M. G. S., Lehner, B., Di Croce, L., Wutz, A., Hendrich, B., Klenerman, D., & Laue, E. D.
- Affiliations
- MRC Laboratory of Molecular Biology (GB)
- University of Cambridge (GB)
- Wellcome/MRC Cambridge Stem Cell Institute (GB)
- European Molecular Biology Laboratory (ES)
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Corresponding author
- Laue, Ernest D.
- ORCID
- Venue
- Nature
- Published
- 2017-03-13
- Volume
- 544
- Issue
- 7648
- Pages
- 59-64
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5385134
- OpenAlex
- W2597274540
- Cited by
- 832
- References
- 41
- Citations by year
- 2026: 42 · 2025: 73 · 2024: 62 · 2023: 71 · 2022: 95 · 2021: 115 · 2020: 95 · 2019: 121 · 2018: 99 · 2017: 58
- FWCI
- 41.56
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Wellcome Trust (082010/Z/07/Z, 277899, 206291/Z/17/Z, 082010)
- Medical Research Council (MR/M010082/1, MC_PC_12009, MR/P019471/1)
- Cancer Research UK Cambridge Institute, University of Cambridge
- 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, single-cell Hi-C, chromosome conformation capture, topologically associating domains, chromatin looping, lamina-associated domains, mouse embryonic stem cells, cell-to-cell variability, pluripotency factors, nucleosome remodeling, nuclear organization
- MeSH terms
- Mouse Embryonic Stem Cells, CCCTC-Binding Factor, Cohesins, Animals, Chromosomal Proteins, Non-Histone, DNA, Enhancer Elements, Genetic, Gene Expression Regulation, Haploidy, Models, Molecular, Molecular Conformation, Nucleosomes, Promoter Regions, Genetic, Repressor Proteins, Reproducibility of Results, G1 Phase, Genome, Cell Cycle Proteins, Chromosomes, Mammalian, Chromatin Assembly and Disassembly, Mice, Gene Regulatory Networks, Mi-2 Nucleosome Remodeling and Deacetylase Complex, Molecular Imaging, Single-Cell Analysis
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