Transcriptomic changes linked to age-dependent neuromelanin accumulation in a new Parkinson's disease mouse model

Autor: Laguna, Ariadna, Peñuelas, Nuria, Romero-Giménez, Jordi, González-Sepúlveda, Marta, Miquel-Rio, Lluís, Benseny-Cases, N., Rodríguez-Galván, Beatriz, Cuadros, Thais, Álvarez-Marimon, E., Parent, Annabelle, Cacho-Nerin, F., Carballo-Carbajal, Iria, Cladera, J., Bortolozzi, Analía, Vila, Miquel
Rok vydání: 2021
Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
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Popis: Resumen del trabajo presentado en el 50th Annual Meeting Society for Neuroscience, celebrado de forma virtual del 8 al 11 de noviembre de 2021
In Parkinson's disease (PD) there is a preferential degeneration of neuromelanin (NM)-containing neurons, especially neurons from the Substantia Nigra (SN) but also from the Ventral Tegmental Area (VTA) and Locus Coeruleus (LC). We generated a new NM-producing mouse model, based on the tissue-specific constitutive expression of human tyrosinase (hTyr) under the tyrosine hydroxylase (TH) promoter (tgNM), that mimics the distribution and age-dependent accumulation of NM in the human brain (i.e. catecholaminergic groups A1-A14). TgNM mice exhibited major PD features, including both motor and non-motor behavioral alterations, inclusion body formation, neuronal degeneration in lower brainstem areas (LC) together with neuronal dysfunction in higher brainstem areas (SN and VTA). In order to understand the mechanisms by which NM accumulation in specific brain areas ultimately interferes with the normal functioning of cells, we characterized genome-wide transcriptomic changes linked to the intracellular presence and progressive accumulation of NM in two NM-accumulating neuronal subpopulations (SN and VTA) that are known to be differentially susceptible to PD pathology. We selectively isolated single dopaminergic NM-containing neurons by laser capture microdissection from male and female wild-type and tgNM animals at 3 months, 12 months and 20 months of age (n=4-6 mice per group). We performed differential expression analysis, resulting in statistically significant differentially expressed genes at all ages (p-value
Databáze: OpenAIRE