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Catalog
ASAP is committed to accelerating the pace of discovery and informing a path to a cure for Parkinson’s disease through collaboration, research-enabling resources, and data sharing. We’ve created this catalog to showcase the research outputs and tools developed by ASAP-funded programs.
Dataset
In vivo reduction of age-dependent neuromelanin accumulation mitigates features of Parkinson’s disease
Collection of all datasets (Metabolomics, microscopy, and behavioral data) included in the article entitled “In vivo reduction of age-dependent neuromelanin accumulation mitigates features of Parkinson’s disease.”
Teams
Dataset
Neuromelanin accumulation drives endogenous synucleinopathy in non-human primates
Evidence has provided showing that intracellular aggregation of endogenous alpha-synuclein is triggered by NMel accumulation, therefore any therapeutic approach intended to decrease NMel levels may provide appealing choices for the successful implementation of novel PD therapeutics.
Teams
Dataset
Development and characterization of a non-human primate model of disseminated synucleinopathy
In this study, the performance and biodistribution of the retrogradely-spreading AAV9-SynA53T vector was evaluated in the NHP brain. Conducted intraparenchymal deliveries of viral suspensions in the left putamen gave rise to a disseminated synucleinopathy in a circuit-specific basis.
Teams
Dataset
Systemic inflammation triggers long-lasting neuroinflammation and accelerates neurodegeneration in a rat model of Parkinson’s disease overexpressing human α-synuclein
Parkinson’s disease (PD) involves genetic and environmental risk factors. Research efforts have been made to understand how they interact to impair homeostasis and elevate risk. Inflammation could be one unifying factor. This dataset is related to a study that utilized a PD animal model to study the impact of inflammation.
Teams
Dataset
Intracellular neuromelanin from post-mortem human midbrain and pontine
This data set includes different quantification parameters to identify the features of intracellular neuromelanin.
Teams
Dataset
Source data for Mendonça et al 2024
Source data and code from dopamine neuron activity encode the length of upcoming contralateral movement sequences by Mendonça et al 2024.