Combinatorics and topological weights of chromatin loop networks

Andrea Bonato, Michael Chiang, Dom Corbett, Sergey Kitaev, Davide Marenduzzo, Alexander Morozov, Enzo Orlandini

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
1 Downloads (Pure)

Abstract

Polymer physics models suggest that chromatin spontaneously folds into loop networks with transcription units (TUs), such as enhancers and promoters, as anchors. Here we use combinatoric arguments to enumerate the emergent chromatin loop networks, both in the case where TUs are labeled and where they are unlabeled. We then combine these mathematical results with those of computer simulations aimed at finding the inter-TU energy required to form a target loop network. We show that different topologies are vastly different in terms of both their combinatorial weight and energy of formation. We explain the latter result qualitatively by computing the topological weight of a given network - i.e., its partition function in statistical mechanics language - in the approximation where excluded volume interactions are neglected. Our results show that networks featuring local loops are statistically more likely with respect to networks including more nonlocal contacts. We suggest our classification of loop networks, together with our estimate of the combinatorial and topological weight of each network, will be relevant to catalog three-dimensional structures of chromatin fibers around eukaryotic genes, and to estimate their relative frequency in both simulations and experiments.

Original languageEnglish
Article number064405
Number of pages20
JournalPhysical Review E
Volume109
Issue number6
DOIs
Publication statusPublished - 14 Jun 2024

Keywords

  • chromatin loop networks
  • chromosomes
  • DNA

Fingerprint

Dive into the research topics of 'Combinatorics and topological weights of chromatin loop networks'. Together they form a unique fingerprint.

Cite this