bioRxivBiophysicsPreprint
Osmotic Coupling of Mechanics and Epigenetics Regulates Chromatin Phase Organization
Aayush KantiD, Monika DhankhariD, Rohit JoshiiD, Zixian GuoiD, Vinayak VinayakiD, Diana Isabel Cruz, Kedi Wang, Ivan Vladimirovich SurovtseviD, Megan KingiD, Abhijit MajumderiD, Jung-Hwan Lee, Hae-Won Kim, Elizabeth HindeiD, Guilherme P. F. NaderiD, Vivek B. ShenoyiD
Abstract
Cells experience epigenetic, osmotic, and mechanical perturbations that reorganize chromatin, yet how these distinct cues are integrated into a common physical response of the nucleus remains unclear. Here, we identify nuclear hydration as a central state variable that links microenvironmental perturbations to chromatin phase organization and nuclear mechanics. We develop a non-equilibrium mesoscale model that couples chromatin elasticity, water transport, and epigenetic reaction-diffusion kinetics. In this framework, chromatin behaves as a deformable polymer that segregates into coexisting water-rich euchromatic and water-poor heterochromatic phases, whose compositions and morphologies are regulated by hydration-dependent swelling, elastic strain, and histone-mark interconversion. The model predicts that epigenetic perturbations, osmotic shocks, and volume-changing mechanical loads reorganize chromatin by shifting intranuclear water content, nuclear volume, and euchromatin-heterochromatin phase balance. It further predicts that anisotropic forces impose directional strain, driving heterochromatin elongation, alignment, and lamellar transitions. Quantitative comparisons with super-resolution imaging, AFM and chromatin-accessibility measurement - across pharmacological, osmotic, and mechanical perturbations including confinement and micropatterning - support these predictions. Together, our results establish a chemo-mechano-osmotic framework in which nuclear hydration integrates biochemical and biophysical cues to regulate chromatin organization across scales.
- assay: Hi-C
- assay: imaging
- research focus: gene regulatory network inference
- research focus: spatial domain detection
- approach: statistical model
- Citations
- 0
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