Nature CommunicationsBioinformaticsPeer-reviewed journal article
Si-C: method to infer biologically valid super-resolution intact genome structure from single-cell Hi-C data
Abstract
There is a strong demand for the methods that can efficiently reconstruct biologically valid super-resolution intact genome 3D structures from sparse and noise single-cell Hi-C data. Here, we developed Single-Cell Chromosome Conformation Calculator (Si-C) within the Bayesian theory framework and applied this approach to reconstruct intact genome 3D structures from the single-cell Hi-C data of eight G1-phase haploid mouse ES cells. The inferred 100-kb and 10-kb structures consistently reproduce the known conserved features of chromatin organization revealed by independent imaging experiments. The analysis of the 10-kb resolution 3D structures revealed cell-to-cell varying domain structures in individual cells and hyperfine structures in domains, such as loops. An average of 0.2 contact reads per divided bin is sufficient for Si-C to obtain reliable structures. The valid super-resolution structures constructed by Si-C demonstrates the potential for visualizing and investigating interactions between all chromatin loci at genome scale in individual cells.
- Citations
- 25
- FWCI
- 1.02
- Field percentile
- top 26%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Sci-Hi-C: a single-cell Hi-C method for mapping 3D genome organization in large number of single cells
Vijay Ramani, Xinxian Deng, … Zhijun Duan·MethodsPeer-reviewed·Sep 16, 2019
- Bayesian Estimation of 3D Chromosomal Structure from Single Cell Hi-C Data
Michael Rosenthal, Darshan Bryner, … Nicola Neretti·bioRxiv·May 7, 2018
- HiC2Self: self-supervised denoising for bulk and single-cell Hi-C contact maps
Rui Yang, Alireza Karbalayghareh, Christina S. Leslie·Science AdvancesPeer-reviewed·Jul 23, 2026
- A novel framework for single-cell Hi-C clustering based on graph-convolution-based imputation and two-phase-based feature extraction
Caiwei Zhen, Yuxian Wang, … Jiajie Peng·bioRxiv·Apr 30, 2021
- GSDB: a database of 3D chromosome and genome structures reconstructed from Hi-C data
Oluwatosin Oluwadare, Max R. Highsmith, … Jianlin Jack Cheng·BMC Molecular and Cell BiologyPeer-reviewed·Aug 5, 2020
- From Hi-C Contact Map to Three-dimensional Organization of Interphase Human Chromosomes
G. Shi, D. Thirumalai·bioRxiv·May 21, 2020