University of Cambridge
Biophysical approaches to characterising protein-protein interactions and intermediate species in protein aggregation
Abstract
dc:description.abstractThe phenomenon of protein misfolding and aggregation has been associated with over 50 human diseases, including Parkinson’s disease (PD). While the hallmark deposits in aggregation-associated diseases are primarily composed of fibrillar species, intermediate oligomeric species that form during the aggregation process are believed to be a major cause of toxicity. Such species are relatively poorly characterised due to several challenges that render them inaccessible to most conventional techniques; oligomers are only present at extremely low concentrations in the aggregation reaction, and are additionally highly heterogeneous and often transient in nature. In this thesis, I present complementary approaches to address these difficulties. Firstly, an ensemble of stable, kinetically trapped oligomers with varying biophysical characteristics was established, enabling detailed structure-toxicity relationships to be investigated. Secondly, a method for the simultaneous single-molecule level characterisation and fractionation of oligomeric species under native conditions was established and applied to studying intermediate species in Parkinson’s disease-associated protein aggregation. Finally, I present a general approach to optimising experimental design, which maximises both the efficiency and information gain of experiments, and demonstrate its validation and application to several experimental systems.
Degree
thesis:*- Name dc:type.qualificationname
- Doctor of Philosophy (PhD)
- Level dc:type.qualificationlevel
- Doctoral
- Grantor dc:publisher.institution
- University of Cambridge
- Year dc:date.issued
- 2020
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Xu, Catherine
- Advisors dc:contributor.advisor
-
- Knowles, Tuomas
- Dobson, Christopher
Subjects
dc:subject × 5Rights
dc:rightsIdentifiers
dc:identifier.*- DOI dc:identifier.doi
- https://doi.org/10.17863/CAM.65349
- OAI identifier oai:identifier
- oai:www.repository.cam.ac.uk:1810/318229