Learning from Hi-C reveals nuclear dynamical reorganization in budding yeast across the cell cycle

Learning from Hi-C contact maps in Saccharomyces cerevisiae infers effective chromatin dynamics across G1, mid-S, S/G2, G2/M, anaphase, and quiescence, including telomere-dependent organization.

• Why it matters: Hi-C yields population-averaged contacts, but converting them into three-dimensional structures and chromosome dynamics is underdetermined, limiting mechanistic interpretation across the cell cycle.
• What they did: The Full-Inversion Chromatin model learns an effective force field from Hi-C contact probabilities, using Serpentine to quantify discrepancies under coverage and sparsity differences, then generates structural ensembles and polymer trajectories at 5-kb resolution.
• The result: Even without explicit spindle pole body, centromere, telomere, or nuclear-envelope tethering, inferred ensembles recover major nuclear organization features and reproduce independently measured subdiffusive chromatin motion, predicting heterogeneous mobility and telomere-dependent dynamical organization.

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