High-resolution single-cell 3D-models of chromatin ensembles during Drosophila embryogenesis

Single-cell chromatin studies provide insights into how chromatin structure relates to functions of individual cells. However, balancing high-resolution and genome wide-coverage remains challenging. We describe a computational method for the reconstruction of large 3D-ensembles of single-cell (sc) chromatin conformations from population Hi-C that we apply to study embryogenesis in Drosophila. With minimal assumptions of physical properties and without adjustable parameters, our method generates large ensembles of chromatin conformations via deep-sampling. Our method identifies specific interactions, which constitute 5-6% of Hi-C frequencies, but surprisingly are sufficient to drive chromatin folding, giving rise to the observed Hi-C patterns. Modeled sc-chromatins quantify chromatin heterogeneity, revealing significant changes during embryogenesis. Furthermore, >50% of modeled sc-chromatin maintain topologically associating domains (TADs) in early embryos, when no population TADs are perceptible. Domain boundaries become fixated during development, with strong preference at binding-sites of insulator-complexes upon the midblastula transition. Overall, high-resolution 3D-ensembles of sc-chromatin conformations enable further in-depth interpretation of population Hi-C, improving understanding of the structure-function relationship of genome organization. Balancing high resolution and broad genome coverage in single-cell Hi-C approaches remains challenging. Here, the authors describe a computational method for the reconstruction of a large 3D-ensemble of single-cell chromatin conformations from population Hi-C measurements and apply this model to study embryogenesis in Drosophila.

Automated summary

This study presents a computational method for reconstructing a large 3D-ensemble of single-cell chromatin conformations from population Hi-C data, applied to study embryogenesis in Drosophila. The modeling of chromatin conformations quantifies chromatin heterogeneity and reveals significant changes during embryogenesis. The findings highlight the importance of high-resolution 3D-ensembles of single-cell chromatin conformations for interpreting population Hi-C data and understanding genome organization.