Anomalous diffusion, spatial coherence, and viscoelasticity from the energy landscape of human chromosomes

Proc Natl Acad Sci U S A. 2018 Jul 24;115(30):7753-7758. doi: 10.1073/pnas.1806297115. Epub 2018 Jul 9.

Abstract

The nucleus of a eukaryotic cell is a nonequilibrium system where chromatin is subjected to active processes that continuously rearrange it over the cell's life cycle. Tracking the motion of chromosomal loci provides information about the organization of the genome and the physical processes shaping that organization. Optical experiments report that loci move with subdiffusive dynamics and that there is spatially coherent motion of the chromatin. We recently showed that it is possible to predict the 3D architecture of genomes through a physical model for chromosomes that accounts for the biochemical interactions mediated by proteins and regulated by epigenetic markers through a transferable energy landscape. Here, we study the temporal dynamics generated by this quasi-equilibrium energy landscape assuming Langevin dynamics at an effective temperature. Using molecular dynamics simulations of two interacting human chromosomes, we show that the very same interactions that account for genome architecture naturally reproduce the spatial coherence, viscoelasticity, and the subdiffusive behavior of the motion in interphase chromosomes as observed in numerous experiments. The agreement between theory and experiments suggests that even if active processes are involved, an effective quasi-equilibrium landscape model can largely mimic their dynamical effects.

Keywords: anomalous diffusion; chromatin dynamics; dynamically associated domains; genome architecture; phase separation.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Chromosomes, Human / metabolism*
  • Elasticity
  • Epigenesis, Genetic / physiology*
  • Genetic Markers
  • Genome, Human*
  • Humans
  • Interphase / physiology*
  • Models, Biological*
  • Viscosity

Substances

  • Genetic Markers