Proteome dynamics in iPSC-derived human dopaminergic neurons.
axon
dopaminergic neurons
iPSC
protein turnover
proteomics
Journal
Molecular & cellular proteomics : MCP
ISSN: 1535-9484
Titre abrégé: Mol Cell Proteomics
Pays: United States
ID NLM: 101125647
Informations de publication
Date de publication:
07 Sep 2024
07 Sep 2024
Historique:
received:
28
03
2024
revised:
18
08
2024
accepted:
25
08
2024
medline:
10
9
2024
pubmed:
10
9
2024
entrez:
9
9
2024
Statut:
aheadofprint
Résumé
Dopaminergic neurons participate in fundamental physiological processes and are the cell type primarily affected in Parkinson's disease. Their analysis is challenging due to the intricate nature of their function, involvement in diverse neurological processes, heterogeneity and localization in deep brain regions. Consequently, most of the research on the protein dynamics of dopaminergic neurons has been performed in animal cells ex vivo. Here we use iPSC-derived human mid-brain specific dopaminergic neurons to study general features of their proteome biology and provide datasets for protein turnover and dynamics, including a human axonal translatome. We cover the proteome to a depth of 9,409 proteins and use dynamic SILAC to measure the half-life of more than 4,300 proteins. We report uniform turnover rates of conserved cytosolic protein complexes such as the proteasome and map the variable rates of turnover of the respiratory chain complexes in these cells. We use differential dynamic SILAC labeling in combination with microfluidic devices to analyze local protein synthesis and transport between axons and soma. We report 105 potentially novel axonal markers and detect translocation of 269 proteins between axons and the soma in the time frame of our analysis (120 hours). Importantly, we provide evidence for local synthesis of 154 proteins in the axon and their retrograde transport to the soma, among them several proteins involved in RNA editing such as ADAR1 and the RNA helicase DHX30, involved in the assembly of mitochondrial ribosomes. Our study provides a workflow and resource for future applications of quantitative proteomics in iPSC-derived human neurons.
Identifiants
pubmed: 39251023
pii: S1535-9476(24)00128-2
doi: 10.1016/j.mcpro.2024.100838
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
100838Informations de copyright
Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.