3D Cultures of Parkinson's Disease-Specific Dopaminergic Neurons for High Content Phenotyping and Drug Testing

被引:105
作者
Bolognin, Silvia [1 ,2 ]
Fossepre, Marie [1 ,2 ]
Qing, Xiaobing [1 ]
Jarazo, Javier [1 ]
Scancar, Janez [3 ]
Moreno, Edinson Lucumi [1 ]
Nickels, Sarah L. [1 ]
Wasner, Kobi [1 ]
Ouzren, Nassima [1 ]
Walter, Jonas [1 ,2 ]
Gruenewald, Anne [1 ,4 ]
Glaab, Enrico [1 ]
Salamanca, Luis [1 ]
Fleming, Ronan M. T. [1 ]
Antony, Paul M. A. [1 ]
Schwamborn, Jens C. [1 ]
机构
[1] Univ Luxembourg, Luxembourg Ctr Syst Biomed, 6 Ave Swing, L-4367 Belvaux, Luxembourg
[2] Braingineering Technol SARL, 9 Ave Hauts Forneaux, L-4362 Esch Sur Alzette, Luxembourg
[3] Jozef Stefan Inst, Dept Environm Sci, Jamova 39, Ljubljana 1000, Slovenia
[4] Univ Lubeck, Inst Neurogenet, D-23562 Lubeck, Germany
关键词
high-content imaging; microfluidics; Parkinson's disease; stem cells; STEM-CELLS; KINASE-ACTIVITY; IN-VITRO; MITOCHONDRIAL DYSFUNCTION; LRRK2; DIFFERENTIATION; GENE; NEURODEGENERATION; ARCHITECTURE; GENERATION;
D O I
10.1002/advs.201800927
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Parkinson's disease (PD)-specific neurons, grown in standard 2D cultures, typically only display weak endophenotypes. The cultivation of PD patient specific neurons, derived from induced pluripotent stem cells carrying the LRRK2-G2019S mutation, is optimized in 3D microfluidics. The automated image analysis algorithms are implemented to enable pharmacophenomics in disease-relevant conditions. In contrast to 2D cultures, this 3D approach reveals robust endophenotypes. High-content imaging data show decreased dopaminergic differentiation and branching complexity, altered mitochondria! morphology, and increased cell death in LRRK2-G2019S neurons compared to isogenic lines without using stressor agents. Treatment with the LRRK2 inhibitor 2 (Inh2) rescues LRRK2-G2019S-dependent dopaminergic phenotypes. Strikingly, a holistic analysis of all studied features shows that the genetic background of the PD patients, and not the LRRK2-G2019S mutation, constitutes the strongest contribution to the phenotypes. These data support the use of advanced in vitro models for future patient stratification and personalized drug development.
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页数:14
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