Computer simulations of chromatin structures at nucleosome resolution
dc.contributor.advisor
Marenduzzo, Davide
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dc.contributor.advisor
Brackley, Chris
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dc.contributor.author
Wiese, Oliver Simon
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dc.date.accessioned
2020-05-18T11:48:10Z
dc.date.available
2020-05-18T11:48:10Z
dc.date.issued
2020-06-25
dc.description.abstract
In this thesis, I present the results from my research into the properties and organisation of chromatin structures at a nucleosome resolution. Nucleosomes, a secondary structure of DNA, are essential to the compaction and protection of DNA. However, they also play a role in the regulation of the expression of genes through changes in the 3D conformation of the chromatin fibre.
The initial work, described in chapter 3, was carried out by looking at the three dimensional conformation of the chromatin structure in Saccharomyces cerevisiae (brewers yeast). Data from a recently developed technique called “Micro-C” (published by Hsieh et. al. [1]) is used to build a contact map, detailing the interactions between nucleosomes in 3D. This raw contact data is translated to a nucleosome resolution by pairing it with nucleosome occupancy data (published by Dang et. al.[2]) to produce a nucleosome resolution contact map. A finding of the Micro-C experiments were small chromosomally interacting domains not previously observed in yeast. These “micro-domains” are at a much smaller length scale than previously observed domains in eukaryotes, typically only containing a few yeast genes per micro-domain.
The nucleosome occupancy data used to generate the nucleosome resolution maps can also be used to feed a simple “beads-on-a-string” computer simulation model discussed in chapter 4. The simulation model can be used to generate chromatin conformations. The output from the simulations can then be compared to the experimental data allowing us to deduce that just the spacing of the nucleosomes along the DNA has a significant effect on the position of domains in yeast chromosomes. The simulation output can also replicate domain boundaries to a high degree of accuracy compared when to the experimental data. Surprisingly a more detailed model does not improve the performance of feature replication.
One of the primary factors driving the formation of these micro-domains seems to be the highly irregular nucleosome spacing found in yeast seldom discussed in the literature. When compared to the average nucleosome spacing in yeast, micro-domain boundaries have a significantly larger spacing.
Finally, in chapter 5 the findings from yeast were then taken and the same model was applied to data for the human genome in order to make predictions about the chromatin structure. The preliminary and speculative results suggest that micro-domains are also found in humans at a sub gene level and boundaries of these micro-domains are again preferentially found at long linkers.
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dc.identifier.uri
https://hdl.handle.net/1842/37061
dc.identifier.uri
http://dx.doi.org/10.7488/era/362
dc.language.iso
en
dc.publisher
The University of Edinburgh
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dc.relation.hasversion
O. Wiese, D. Marenduzzo, and C. A. Brackley, “Nucleosome positions alone can be used to predict domains in yeast chromosomes,” Proceedings of the National Academy of Sciences, 2019
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dc.subject
Saccharomyces cerevisiae
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dc.subject
chromatin
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dc.subject
computational models
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dc.subject
micro-domain boundaries
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nucleosome spacing
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nucleosome interaction model
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chromatin fibre model
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dc.title
Computer simulations of chromatin structures at nucleosome resolution
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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