Literature DB >> 34857425

Predicting genome organisation and function with mechanistic modelling.

Michael Chiang1, Chris A Brackley1, Davide Marenduzzo1, Nick Gilbert2.   

Abstract

Fitting-free mechanistic models based on polymer simulations predict chromatin folding in 3D by focussing on the underlying biophysical mechanisms. This class of models has been increasingly used in conjunction with experiments to study the spatial organisation of eukaryotic chromosomes. Feedback from experiments to models leads to successive model refinement and has previously led to the discovery of new principles for genome organisation. Here, we review the basis of mechanistic polymer simulations, explain some of the more recent approaches and the contexts in which they have been useful to explain chromosome biology, and speculate on how they might be used in the future.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  chromatin modelling; genome organisation; mechanistic models; polymer physics

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Year:  2021        PMID: 34857425     DOI: 10.1016/j.tig.2021.11.001

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  1 in total

1.  Spatially coherent diffusion of human RNA Pol II depends on transcriptional state rather than chromatin motion.

Authors:  Roman Barth; Haitham A Shaban
Journal:  Nucleus       Date:  2022-12       Impact factor: 4.590

  1 in total

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