Topological spectra and entropy of chromatin loop networks

Bonato, Andrea and Chiang, Michael and Corbett, Dom and Kitaev, Sergey and Marenduzzo, Davide and Morozov, Alexander and Orlandini, Enzo (2024) Topological spectra and entropy of chromatin loop networks. Physical Review Letters, 132 (24). 248403. ISSN 1079-7114 (https://doi.org/10.1103/PhysRevLett.132.248403)

[thumbnail of Bonato-etal-PRL-2024-Topological-spectra-and-entropy-of-chromatin]
Preview
Text. Filename: Bonato-etal-PRL-2024-Topological-spectra-and-entropy-of-chromatin.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (748kB)| Preview

Abstract

The 3D folding of a mammalian gene can be studied by a polymer model, where the chromatin fibre is represented by a semiflexible polymer which interacts with multivalent proteins, representing complexes of DNA-binding transcription factors and RNA polymerases. This physical model leads to the natural emergence of clusters of proteins and binding sites, accompanied by the folding of chromatin into a set of topologies, each associated with a different network of loops. Here we combine numerics and analytics to first classify these networks and then find their relative importance or statistical weight, when the properties of the underlying polymer are those relevant to chromatin. Unlike polymer networks previously studied, our chromatin networks have finite average distances between successive binding sites, and this leads to giant differences between the weights of topologies with the same number of edges and nodes but different wiring. These weights strongly favour rosette- like structures with a local cloud of loops with respect to more complicated non-local topologies. Our results suggest that genes should overwhelmingly fold into a small fraction of all possible 3D topologies, which can be robustly characterised by the framework we propose here.