Recurrence plot reconstruction reveals chromosomal reorganization before territory formation
Chromatin conformation capture methods such as Hi-C have improved understanding of nuclear architecture. However, reconstruction from single-cell Hi-C (scHi-C) data is challenging due to limited DNA contacts per cell. We have previously developed the recurrence plot-based reconstruction (RPR) method for reconstructing three-dimensional (3D) genomic structure from Hi-C data even from low-coverage DNA contact information. Here we used the RPR method to analyze scHi-C data derived from early-stage F<sub>1</sub> hybrid embryos as a proof-of-concept for understanding of global chromosomal architecture. We found that paternal and maternal chromosomes become gradually intermingled from the 1-cell to the 64-cell stage, and that discrete chromosome territories are largely established between 8-cell and 64-cell stages. We also observed Rabl-like polarization of chromosomes from the 2- to 8-cell stage, which was mostly dissolved by the 64-cell stage. We also noted transient rod-like extension and parallel chromosome alignment at the 4-cell stage. These findings indicate dynamic chromosomal reorganization before territory formation. RPR and scHi-C together capture 3D chromosomal architecture of individual cells during early embryogenesis.
Authors
- Yuki Kitanishi
- Hiroki Sugishita (ORCID: https://orcid.org/0000-0002-6561-8261)
- Yoshito Hirata (ORCID: https://orcid.org/0000-0002-9245-2543)
- Yukiko Gotoh
Institutions
- University of Tsukuba (JP)
- The University of Tokyo (JP)
Publication Details
- Journal
- NAR Genomics and Bioinformatics
- Published
- 2026-01-06
- DOI
- https://doi.org/10.1093/nargab/lqag023
- Primary Topic
- Genomics and Chromatin Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Agency for Medical Research and Development
- University of Tokyo
- Japan Society for the Promotion of Science
- International Research Center for Neurointelligence, University of Tokyo
- Core Research for Evolutional Science and Technology