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Elucidating the Endogenous Distribution, Topography, and Cells-of-Origin of a-synuclein in Relation to Parkinson’s Disease

Parkinson’s Disease (PD), the second most common neurodegenerative disease worldwide, pathologically presents with the inclusion of Lewy bodies and dopaminergic cell loss in the brain. Lewy bodies are composed of aggregated a-synuclein protein, and although essential to our understanding of PD, not much is known about the native, pre-synaptic state of a-synuclein (a-syn). Due to its mostly synaptic local, immunostaining results in diffuse signal, ultimately providing little insight into the types of a-syn-resident cells. As a result, insight into a-syn expression driven cellular vulnerability has been difficult to ascertain. Using a knockin mouse model that localizes a-syn to the nucleus of cells by insertion of a nuclear localization signal into the a-syn gene locus (SncaNLS), we overcome visualization issues and map out the topography and cells-of-origin of a-syn in mice. I performed immunohistochemistry on SncaNLS mouse tissue to map out the endogenous distribution of a-synuclein in the brain. Using ilastik machine learning analysis, I determined regions with high a-syn expression, which were subsequently co- stained with cell-type specific markers to gain further topographical granularity. a-syn showed high expression in the olfactory bulb, hippocampus, cerebral cortex, substantia nigra and cerebellum. Within these structures, there was a high level of expression of a-syn in granule cells, pyramidal cells, mitral cells, and dopaminergic neurons. Taken together, the SncaNLS mouse serves as a tool to define an atlas of a-syn topography, potentially providing insight into cellular vulnerability in PD.

Identiferoai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/44455
Date03 January 2023
CreatorsFisk, Zoe
ContributorsRousseaux, Maxime
PublisherUniversité d'Ottawa / University of Ottawa
Source SetsUniversité d’Ottawa
LanguageEnglish
Detected LanguageEnglish
TypeThesis
Formatapplication/pdf
RightsAttribution-NonCommercial-NoDerivatives 4.0 International, http://creativecommons.org/licenses/by-nc-nd/4.0/

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