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Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson’s disease

Parkinson’s disease (PD) is the second-most prevalent neurodegenerative disorder, characterized by the loss of dopaminergic neurons (mDA) in the midbrain. The underlying mechanisms are only partly understood and there is no treatment to reverse PD progression. Here, we investigated the disease mecha...

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Autores principales: Novak, Gabriela, Kyriakis, Dimitrios, Grzyb, Kamil, Bernini, Michela, Rodius, Sophie, Dittmar, Gunnar, Finkbeiner, Steven, Skupin, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758783/
https://www.ncbi.nlm.nih.gov/pubmed/35027645
http://dx.doi.org/10.1038/s42003-021-02973-7
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author Novak, Gabriela
Kyriakis, Dimitrios
Grzyb, Kamil
Bernini, Michela
Rodius, Sophie
Dittmar, Gunnar
Finkbeiner, Steven
Skupin, Alexander
author_facet Novak, Gabriela
Kyriakis, Dimitrios
Grzyb, Kamil
Bernini, Michela
Rodius, Sophie
Dittmar, Gunnar
Finkbeiner, Steven
Skupin, Alexander
author_sort Novak, Gabriela
collection PubMed
description Parkinson’s disease (PD) is the second-most prevalent neurodegenerative disorder, characterized by the loss of dopaminergic neurons (mDA) in the midbrain. The underlying mechanisms are only partly understood and there is no treatment to reverse PD progression. Here, we investigated the disease mechanism using mDA neurons differentiated from human induced pluripotent stem cells (hiPSCs) carrying the ILE368ASN mutation within the PINK1 gene, which is strongly associated with PD. Single-cell RNA sequencing (RNAseq) and gene expression analysis of a PINK1-ILE368ASN and a control cell line identified genes differentially expressed during mDA neuron differentiation. Network analysis revealed that these genes form a core network, members of which interact with all known 19 protein-coding Parkinson’s disease-associated genes. This core network encompasses key PD-associated pathways, including ubiquitination, mitochondrial function, protein processing, RNA metabolism, and vesicular transport. Proteomics analysis showed a consistent alteration in proteins of dopamine metabolism, indicating a defect of dopaminergic metabolism in PINK1-ILE368ASN neurons. Our findings suggest the existence of a network onto which pathways associated with PD pathology converge, and offers an inclusive interpretation of the phenotypic heterogeneity of PD.
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spelling pubmed-87587832022-01-20 Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson’s disease Novak, Gabriela Kyriakis, Dimitrios Grzyb, Kamil Bernini, Michela Rodius, Sophie Dittmar, Gunnar Finkbeiner, Steven Skupin, Alexander Commun Biol Article Parkinson’s disease (PD) is the second-most prevalent neurodegenerative disorder, characterized by the loss of dopaminergic neurons (mDA) in the midbrain. The underlying mechanisms are only partly understood and there is no treatment to reverse PD progression. Here, we investigated the disease mechanism using mDA neurons differentiated from human induced pluripotent stem cells (hiPSCs) carrying the ILE368ASN mutation within the PINK1 gene, which is strongly associated with PD. Single-cell RNA sequencing (RNAseq) and gene expression analysis of a PINK1-ILE368ASN and a control cell line identified genes differentially expressed during mDA neuron differentiation. Network analysis revealed that these genes form a core network, members of which interact with all known 19 protein-coding Parkinson’s disease-associated genes. This core network encompasses key PD-associated pathways, including ubiquitination, mitochondrial function, protein processing, RNA metabolism, and vesicular transport. Proteomics analysis showed a consistent alteration in proteins of dopamine metabolism, indicating a defect of dopaminergic metabolism in PINK1-ILE368ASN neurons. Our findings suggest the existence of a network onto which pathways associated with PD pathology converge, and offers an inclusive interpretation of the phenotypic heterogeneity of PD. Nature Publishing Group UK 2022-01-13 /pmc/articles/PMC8758783/ /pubmed/35027645 http://dx.doi.org/10.1038/s42003-021-02973-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Novak, Gabriela
Kyriakis, Dimitrios
Grzyb, Kamil
Bernini, Michela
Rodius, Sophie
Dittmar, Gunnar
Finkbeiner, Steven
Skupin, Alexander
Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson’s disease
title Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson’s disease
title_full Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson’s disease
title_fullStr Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson’s disease
title_full_unstemmed Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson’s disease
title_short Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson’s disease
title_sort single-cell transcriptomics of human ipsc differentiation dynamics reveal a core molecular network of parkinson’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758783/
https://www.ncbi.nlm.nih.gov/pubmed/35027645
http://dx.doi.org/10.1038/s42003-021-02973-7
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