Blakeman, Ben (2017) The polymorphic nature of amyloid assembly: Exploring fibril morphology and the structural relationship towards mechanical stability. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:66049)
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Abstract
The polymorphic nature of amyloid fibrils is important in the understanding of structural
based relationships, such as a morphology influence on cytotoxicity and disease
progression. The work reported here uses Atomic force microscopy (AFM) to enhance
the understanding of fibril morphology in addition to the relationship between structure
and stability towards breakage. A novel quantitative cluster analysis was developed
here to identify the vast range of fibril morphologies present within a population. Using
fibrils formed from three peptide sequences identified by the WALTZ algorithm, we have
characterised the polymorphism displayed by each fibril population and provided
structural models to predict the likely filament arrangements accessible to each. The
range of fibril polymorphism also conveys mechanical differences, defined here by
persistence length values for each respective population. These mechanical differences
subsequently affect fibrils stability towards breakage, quantified here using AFM and
subsequent image analysis.
Additionally, using AFM, a structural comparison was performed between Sup35NM
amyloid fibrils formed in vitro and those formed in situ using a synthetic biology
approach with the Curli-dependent amyloid generator (C-DAG) in E. Coli. Structural
similarities between fibrils formed using this system and those formed in vitro is of great
value given the importance of a sequence-structure relationship. The work in this thesis
expands on possible fibril morphologies and the related mechanical properties, which
has implications in the understanding of disease enhancing structural motifs and the
utilisation of amyloid fibrils in a biotechnology role.
Item Type: | Thesis (Doctor of Philosophy (PhD)) |
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Thesis advisor: | Xue, Wei-Feng |
Thesis advisor: | Serpell, Louise |
Uncontrolled keywords: | Biochemistry, Biophysics, Amyloid, Atomic force microscopy, Protein, Structure, Fibril, Hierarchical clustering, Matlab |
Divisions: | Divisions > Division of Natural Sciences > Biosciences |
Funders: | Organisations -1 not found. |
SWORD Depositor: | System Moodle |
Depositing User: | System Moodle |
Date Deposited: | 16 Feb 2018 15:10 UTC |
Last Modified: | 05 Nov 2024 11:04 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/66049 (The current URI for this page, for reference purposes) |
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