Unraveling the axonal proteome of hippocampal neurons

• Autor(a) principal: Felgueiras, José João Macedo
• Data de Publicação: 2021
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10773/30915
• topic: Axonal proteome; Local protein synthesis; Quantitative proteomics; Bioinformatic analysis; Neurological disorders

Axons are long projections of a nerve cell responsible to conduct electrochemical impulses. The length of axons, their morphological complexity long axonas and neuronal plasticity poses a challenge to maintain cellular function. Transport along the neurons can address the mentioned hurdles. However, this cellular mechanism has some drawbacks associated, such as the long time to transport cargos from one point to another due to the neuronal size and architecture. Nowadays, a synergy between axonal transport and local translation is well accepted, both working tightly to regulate the axonal proteome. Therefore, these mechanisms have a crucial role in vital axonal functions, such as synaptic plasticity, axonal pathfinding, and regeneration. The axonal proteome is composed of the entire repertoire of the present proteins. in the axons at a given moment, and is in a continuous and dynamic changing process. Although great efforts have been made, the majority of studies available in literature use transcriptomic techniques, which can significantly differ from protein cell expression. In the present study, we reported for the first time the axonal proteome in developing hippocampal rat neurons. Additionally, to gain a systemic understanding of the functional and dynamic role of these proteins, we perform a high-throughput analysis, using multiple bioinformatic tools to catalogue and extensively characterize the axonal proteome. In addition, we run an enrichment analysis and search for different neurological disorders fingerprints among the proteome, using several databases to create a disease-association profile, and ultimately identify possible future research candidates to integrate in clinical translation.