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Midbrain organoids with an SNCA gene triplication model key features of synucleinopathy

Authors :
Mahdieh Tabatabaei
Edward A. Fon
Harris Nami
Carol X.-Q. Chen
Thomas M. Durcan
Eric Deneault
Vincent Soubannier
Meghna Mathur
Michael Nicouleau
Gilles Maussion
Paula Lépine
Julien Sirois
Tilo Kunath
Narges Abdian
Karamjit Singh Dolt
Lenore K. Beitel
Rhalena A. Thomas
Eddie Cai
Jason Karamchandani
Nguyen-Vi Mohamed
Janani Ramamurthy
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

SNCA, the first gene associated with Parkinson′s disease, encodes the α-synuclein (α-syn) protein, the predominant component within pathological inclusions termed Lewy bodies (LBs). The presence of LBs is one of the classical hallmarks found in the brain of patients with Parkinson′s disease, and LBs have also been observed in patients with other synucleinopathies. However, the study of α-syn pathology in cells has relied largely on two-dimensional culture models, which typically lack the cellular diversity and complex spatial environment found in the brain. Here, to address this gap, we use 3D midbrain organoids (hMOs), differentiated from human induced pluripotent stem cells derived from patients carrying a triplication of the SNCA gene and from CRISPR/Cas9 corrected isogenic control iPSCs. These hMOs recapitulate key features of α-syn pathology observed in the brains of patients with synucleinopathies. In particular, we find that SNCA triplication hMOs express elevated levels of α-syn and exhibit an age-dependent increase in α-syn aggregation, manifested by the presence of both oligomeric and phosphorylated forms of α-syn. These phosphorylated α-syn aggregates were found in both neurons and glial cells and their time-dependent accumulation correlated with a selective reduction in dopaminergic neuron numbers. Thus, hMOs from patients carrying SNCA gene multiplication can reliably model key pathological features of Parkinson′s disease and provide a powerful system to study the pathogenesis of synucleinopathies.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........9b1a700228ec115915d0c0f2362f5a1e