Understanding the molecular bases of neurodegeneration: From the structural characterisation of the aggregates to the establishment of an iPSC-derived neuronal model

Neurodegenerative diseases, including Alzheimer’s disease (AD) and Parkinson’s disease (PD), are associated with the process of protein misfolding and aggregation. The molecular mechanisms by which this process causes the progressive loss of neurons characteristic of these conditions, however, are still largely unknown. To address this problem, biophysical studies can play a major role. By adopting this approach, we study the soluble oligomeric species formed during the aggregation process of the amyloid beta (Aβ) peptide, which are thought to play a critical role in the pathogenesis of AD, and to be a main source of cellular dysfunction. In the first part of the thesis, we characterize the physio-chemical properties and the biological activity of oligomeric populations resulting from the aggregation of a set of four Aβ40 variants, each carrying a familial mutation with the aim to study their structures. We then employ neuroblastoma cell lines to explore the relationship between the cellular toxicity and the structural and physio-chemical properties of these oligomeric species. Alongside this, the development of accurate disease models is necessary for the elucidation of the biological mechanisms central to the pathology, and for the discovery of effective therapies targeting such mechanisms. Therefore, in the second part of this thesis, we establish and characterise three pluripotent stem cell (iPSCs) clones containing the familiar PD mutation A53T in α-synuclein. We then proceed to differentiate these lines into dopaminergic neurons (DaNs) before characterising them to show that they are a suitable model to study PD. Having established these disease models, we explore the effects of various external stressors on the aggregation of α-synuclein in the DaNs. Taken together, the results that we report in this work contribute to linking the molecular process of protein aggregation to its consequences at the cellular level.

Name dc:type.qualificationname

Doctor of Philosophy (PhD)

Level dc:type.qualificationlevel

Doctoral

Grantor dc:publisher.institution

University of Cambridge

Year dc:date.issued

2021

Author dc:creator

• Pisani, Katarina

Advisor dc:contributor.advisor

• Vendruscolo, Michele

• amyloid aggregation
• iPSC-derived neuronal model
• neurodegeneration

Licence

• https://www.rioxx.net/licenses/all-rights-reserved/

Language dc:language

eng

DOI dc:identifier.doi

https://doi.org/10.17863/CAM.89070

OAI identifier oai:identifier

oai:www.repository.cam.ac.uk:1810/341644