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Multiplex chromatin interactions with single-molecule precision

Author

Listed:
  • Meizhen Zheng

    (The Jackson Laboratory for Genomic Medicine)

  • Simon Zhongyuan Tian

    (The Jackson Laboratory for Genomic Medicine)

  • Daniel Capurso

    (The Jackson Laboratory for Genomic Medicine)

  • Minji Kim

    (The Jackson Laboratory for Genomic Medicine)

  • Rahul Maurya

    (The Jackson Laboratory for Genomic Medicine)

  • Byoungkoo Lee

    (The Jackson Laboratory for Genomic Medicine)

  • Emaly Piecuch

    (The Jackson Laboratory for Genomic Medicine
    University of Connecticut Health Center)

  • Liang Gong

    (The Jackson Laboratory for Genomic Medicine)

  • Jacqueline Jufen Zhu

    (The Jackson Laboratory for Genomic Medicine
    University of Connecticut Health Center)

  • Zhihui Li

    (The Jackson Laboratory for Genomic Medicine
    Wenzhou Medical University)

  • Chee Hong Wong

    (The Jackson Laboratory for Genomic Medicine)

  • Chew Yee Ngan

    (The Jackson Laboratory for Genomic Medicine)

  • Ping Wang

    (The Jackson Laboratory for Genomic Medicine)

  • Xiaoan Ruan

    (The Jackson Laboratory for Genomic Medicine)

  • Chia-Lin Wei

    (The Jackson Laboratory for Genomic Medicine)

  • Yijun Ruan

    (The Jackson Laboratory for Genomic Medicine
    University of Connecticut Health Center
    Huazhong Agricultural University)

Abstract

The genomes of multicellular organisms are extensively folded into 3D chromosome territories within the nucleus1. Advanced 3D genome-mapping methods that combine proximity ligation and high-throughput sequencing (such as chromosome conformation capture, Hi-C)2, and chromatin immunoprecipitation techniques (such as chromatin interaction analysis by paired-end tag sequencing, ChIA-PET)3, have revealed topologically associating domains4 with frequent chromatin contacts, and have identified chromatin loops mediated by specific protein factors for insulation and regulation of transcription5–7. However, these methods rely on pairwise proximity ligation and reflect population-level views, and thus cannot reveal the detailed nature of chromatin interactions. Although single-cell Hi-C8 potentially overcomes this issue, this method may be limited by the sparsity of data that is inherent to current single-cell assays. Recent advances in microfluidics have opened opportunities for droplet-based genomic analysis9 but this approach has not yet been adapted for chromatin interaction analysis. Here we describe a strategy for multiplex chromatin-interaction analysis via droplet-based and barcode-linked sequencing, which we name ChIA-Drop. We demonstrate the robustness of ChIA-Drop in capturing complex chromatin interactions with single-molecule precision, which has not been possible using methods based on population-level pairwise contacts. By applying ChIA-Drop to Drosophila cells, we show that chromatin topological structures predominantly consist of multiplex chromatin interactions with high heterogeneity; ChIA-Drop also reveals promoter-centred multivalent interactions, which provide topological insights into transcription.

Suggested Citation

  • Meizhen Zheng & Simon Zhongyuan Tian & Daniel Capurso & Minji Kim & Rahul Maurya & Byoungkoo Lee & Emaly Piecuch & Liang Gong & Jacqueline Jufen Zhu & Zhihui Li & Chee Hong Wong & Chew Yee Ngan & Ping, 2019. "Multiplex chromatin interactions with single-molecule precision," Nature, Nature, vol. 566(7745), pages 558-562, February.
  • Handle: RePEc:nat:nature:v:566:y:2019:i:7745:d:10.1038_s41586-019-0949-1
    DOI: 10.1038/s41586-019-0949-1
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    Citations

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    Cited by:

    1. 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.
    2. Sarah B. Reiff & Andrew J. Schroeder & Koray Kırlı & Andrea Cosolo & Clara Bakker & Luisa Mercado & Soohyun Lee & Alexander D. Veit & Alexander K. Balashov & Carl Vitzthum & William Ronchetti & Kent M, 2022. "The 4D Nucleome Data Portal as a resource for searching and visualizing curated nucleomics data," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Gabrielle A. Dotson & Can Chen & Stephen Lindsly & Anthony Cicalo & Sam Dilworth & Charles Ryan & Sivakumar Jeyarajan & Walter Meixner & Cooper Stansbury & Joshua Pickard & Nicholas Beckloff & Amit Su, 2022. "Deciphering multi-way interactions in the human genome," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    4. Li-Hsin Chang & Sourav Ghosh & Andrea Papale & Jennifer M. Luppino & Mélanie Miranda & Vincent Piras & Jéril Degrouard & Joanne Edouard & Mallory Poncelet & Nathan Lecouvreur & Sébastien Bloyer & Amél, 2023. "Multi-feature clustering of CTCF binding creates robustness for loop extrusion blocking and Topologically Associating Domain boundaries," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    5. Jia-Yong Zhong & Longjian Niu & Zhuo-Bin Lin & Xin Bai & Ying Chen & Feng Luo & Chunhui Hou & Chuan-Le Xiao, 2023. "High-throughput Pore-C reveals the single-allele topology and cell type-specificity of 3D genome folding," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    6. Abhijit Chakraborty & Jeffrey G. Wang & Ferhat Ay, 2022. "dcHiC detects differential compartments across multiple Hi-C datasets," Nature Communications, Nature, vol. 13(1), pages 1-21, December.

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