Buckle, Adam; Brackley, Chris A; Marenduzzo, Davide; Gilbert, Nick. (2018). Polymer Simulations of Heteromorphic Chromatin Predict the 3-D Folding of Complex Genomic Loci, [dataset]. University of Edinburgh. https://doi.org/10.7488/ds/2434.
This dataset contains data corresponding to the figures and supplemental figures of the manuscript "Polymer Simulations of Heteromorphic Chromatin Predict the 3-D Folding of Complex Genomic Loci". Data sets from next generation sequencing experiments (including full raw sequence data) will be deposited separately in the Gene Expression Omnibus.
Chromatin folded into 3-D macromolecular structures is often analysed by 3C and FISH techniques, but these frequently provide contradictory results. Chromatin can be modelled as a simple polymer comprised of a connected chain of units. By embedding data for epigenetic marks (H3K27ac), chromatin accessibility (ATAC-seq) and structural anchors (CTCF) we developed a highly predictive heteromorphic polymer (HiP-HoP) model, where the chromatin fibre varied along its length; combined with diffusing protein bridges and loop extrusion this model predicted the 3-D organisation of genomic loci at a population and single cell level. The model was validated at several gene loci, including the complex Pax6 gene, and was able to determine locus conformations across cell types with varying levels of transcriptional activity and explain different mechanisms of enhancer use. Minimal a priori knowledge of epigenetic marks is sufficient to recapitulate complex genomic loci in 3-D and enable predictions of chromatin folding paths.
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