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Machine learning-aided multidimensional phenotyping of Parkinson’s disease patient stem cell-derived midbrain dopaminergic neurons

2022-03-03

Abstract excerpt

<h4>Summary</h4> Combining multiple Parkinson’s disease (PD) relevant cellular phenotypes might increase the accuracy of midbrain dopaminergic (mDA) in vitro models. We differentiated patient-derived induced pluripotent stem cells (iPSCs) with a LRRK2 G2019S mutation, isogenic control and genetically unrelated iPSCs into mDA neurons. Using automated fluorescence microscopy in 384-well plate format, we identified...

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Literature Corpus work
e029a563-c8b5-56a6-921a-4cac3e5a5268
DOI
10.1101/2022.03.01.482490
Open publication

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Machine learning-aided multidimensional phenotyping of Parkinson’s disease patient stem cell-derived midbrain dopaminergic neuronsDOI 10.1101/2022.03.01.482490
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