Chromosomal dynamics predicted by an elastic network model explains genome-wide accessibility and long-range couplings.

ABSTRACT: Understanding the three-dimensional (3D) architecture of chromatin and its relation to gene expression and regulation is fundamental to understanding how the genome functions. Advances in Hi-C technology now permit us to study 3D genome organization, but we still lack an understanding of the structural dynamics of chromosomes. The dynamic couplings between regions separated by large genomic distances (>50 Mb) have yet to be characterized. We adapted a well-established protein-modeling framework, the Gaussian Network Model (GNM), to model chromatin dynamics using Hi-C data. We show that the GNM can identify spatial couplings at multiple scales: it can quantify the correlated fluctuations in the positions of gene loci, find large genomic compartments and smaller topologically-associating dom

SUBMITTER: Sauerwald N 

PROVIDER: S-EPMC5397156 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature