Unravelling cell type-specific responses to Parkinson's Disease at single cell resolution
- PMID: 38245794
- PMCID: PMC10799528
- DOI: 10.1186/s13024-023-00699-0
Unravelling cell type-specific responses to Parkinson's Disease at single cell resolution
Erratum in
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Correction: Unravelling cell type-specific responses to Parkinson's Disease at single cell resolution.Mol Neurodegener. 2024 Mar 25;19(1):28. doi: 10.1186/s13024-024-00717-9. Mol Neurodegener. 2024. PMID: 38528600 Free PMC article. No abstract available.
Abstract
Parkinson's Disease (PD) is the second most common neurodegenerative disorder. The pathological hallmark of PD is loss of dopaminergic neurons and the presence of aggregated α-synuclein, primarily in the substantia nigra pars compacta (SNpc) of the midbrain. However, the molecular mechanisms that underlie the pathology in different cell types is not currently understood. Here, we present a single nucleus transcriptome analysis of human post-mortem SNpc obtained from 15 sporadic Parkinson's Disease (PD) cases and 14 Controls. Our dataset comprises ∼84K nuclei, representing all major cell types of the brain, allowing us to obtain a transcriptome-level characterization of these cell types. Importantly, we identify multiple subpopulations for each cell type and describe specific gene sets that provide insights into the differing roles of these subpopulations. Our findings reveal a significant decrease in neuronal cells in PD samples, accompanied by an increase in glial cells and T cells. Subpopulation analyses demonstrate a significant depletion of tyrosine hydroxylase (TH) enriched astrocyte, microglia and oligodendrocyte populations in PD samples, as well as TH enriched neurons, which are also depleted. Moreover, marker gene analysis of the depleted subpopulations identified 28 overlapping genes, including those associated with dopamine metabolism (e.g., ALDH1A1, SLC6A3 & SLC18A2). Overall, our study provides a valuable resource for understanding the molecular mechanisms involved in dopaminergic neuron degeneration and glial responses in PD, highlighting the existence of novel subpopulations and cell type-specific gene sets.
© 2024. The Author(s).
Conflict of interest statement
T.G.B. is CEO of The Bioinformatics CRO and Senior Director of Bioinformatics at Bit.Bio. D.R.T. has received various honoraria related to speaking engagements from Biogen (USA) and UCB (Brussels, Belgium), and benefited from research collaborations with Novartis Pharma AG (Basel, Switzerland), Probiodrug (Halle (Saale), Germany), GE Healthcare (Amersham, UK), and Janssen Pharmaceuticals (Beerse, Belgium). E.M. is an employee and shareholder of Bit.Bio. M.G.H. acted as a paid consultant to Resolve Biosciences during development of their Molecular Cartography system. A.M. is currently an employee at Muna Therapeutics.
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References
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- Lang C, Campbell KR, Ryan BJ, Carling P, Attar M, Vowles J, et al. Single-cell sequencing of iPSC-Dopamine neurons reconstructs disease progression and identifies HDAC4 as a regulator of Parkinson cell phenotypes. Cell Stem Cell. 2019;24:93–106.e6. doi: 10.1016/j.stem.2018.10.023. - DOI - PMC - PubMed
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- Fernandes HJR, Patikas N, Foskolou S, Field SF, Park JE, Byrne ML, et al. Single-cell transcriptomics of Parkinson’s disease human in vitro models reveals dopamine neuron-specific stress responses. Cell Rep. 2020;33(2):108263. 10.1016/j.celrep.2020.108263. - PubMed
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