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Synaptic decline precedes dopaminergic neuronal loss in human midbrain organoids harboring a triplication of the SNCA gene

GSE278265 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2024/12/02 Platform GPL18573
Summary
Increased levels of the protein alpha-synuclein (α-syn) are associated with the development of neurodegenerative diseases like Parkinson's disease (PD). In physiological conditions, α-syn modulates synaptic plasticity, neurogenesis and neuronal survival. Here, we used a PD patient specific midbrain organoid model derived from induced pluripotent stem cells harboring a triplication in the SNCA gene to study PD-associated phenotypes. The model recapitulates the two main hallmarks of PD, which are α-syn aggregation and loss of dopaminergic neurons. Additionally, impairments in astrocyte differentiation were detected. Transcriptomics data indicate that synaptic function is impaired in PD specific midbrain organoids. This is further confirmed by alterations in synapse number and electrophysiological activity. We found that synaptic decline precedes neurodegeneration. Finally, this study substantiates that patient specific midbrain organoids allow a personalized phenotyping, which make them an interesting tool for precision medicine and drug discovery. However, its pathogenic accumulation and aggregation results in toxicity and neurodegeneration.
Published in
Deciphering shared molecular dysregulation across Parkinson's disease variants using a multi-modal network-based data integration and analysis
Zagare A, Balaur I, Rougny A et al. · NPJ Parkinson's disease 2025 · PMID 40164620 · doi:10.1038/s41531-025-00914-3
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Direct links to NCBI, no account and no request form: the whole study as GSE278265_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1166189 and SRA study SRP535311. Searching any of these in the dataset finder brings you back here.

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