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Multiplexed imaging of nucleome architectures in single cells of mammalian tissue

Author

Listed:
  • Miao Liu

    (Yale University)

  • Yanfang Lu

    (Yale University)

  • Bing Yang

    (Yale University)

  • Yanbo Chen

    (Yale University)

  • Jonathan S. D. Radda

    (Yale University)

  • Mengwei Hu

    (Yale University)

  • Samuel G. Katz

    (Yale University)

  • Siyuan Wang

    (Yale University
    Yale University)

Abstract

The three-dimensional architecture of the genome affects genomic functions. Multiple genome architectures at different length scales, including chromatin loops, domains, compartments, and lamina- and nucleolus-associated regions, have been discovered. However, how these structures are arranged in the same cell and how they are mutually correlated in different cell types in mammalian tissue are largely unknown. Here, we develop Multiplexed Imaging of Nucleome Architectures that measures multiscale chromatin folding, copy numbers of numerous RNA species, and associations of numerous genomic regions with nuclear lamina, nucleoli and surface of chromosomes in the same, single cells. We apply this method in mouse fetal liver, and identify de novo cell-type-specific chromatin architectures associated with gene expression, as well as cell-type-independent principles of chromatin organization. Polymer simulation shows that both intra-chromosomal self-associating interactions and extra-chromosomal interactions are necessary to establish the observed organization. Our results illustrate a multi-faceted picture and physical principles of chromatin organization.

Suggested Citation

  • Miao Liu & Yanfang Lu & Bing Yang & Yanbo Chen & Jonathan S. D. Radda & Mengwei Hu & Samuel G. Katz & Siyuan Wang, 2020. "Multiplexed imaging of nucleome architectures in single cells of mammalian tissue," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16732-5
    DOI: 10.1038/s41467-020-16732-5
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    Cited by:

    1. Guang Shi & D. Thirumalai, 2023. "A maximum-entropy model to predict 3D structural ensembles of chromatin from pairwise distances with applications to interphase chromosomes and structural variants," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    2. Hao Wang & Jiaxin Yang & Yu Zhang & Jianliang Qian & Jianrong Wang, 2022. "Reconstruct high-resolution 3D genome structures for diverse cell-types using FLAMINGO," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    3. Lindsay Lee & Hongyu Yu & Bojing Blair Jia & Adam Jussila & Chenxu Zhu & Jiawen Chen & Liangqi Xie & Antonina Hafner & Shreya Mishra & Duan Dennis Wang & Caterina Strambio-De-Castillia & Alistair Boet, 2023. "SnapFISH: a computational pipeline to identify chromatin loops from multiplexed DNA FISH data," Nature Communications, Nature, vol. 14(1), pages 1-7, December.

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