High-content phenotyping of Parkinson's disease patient stem cell-derived midbrain dopaminergic neurons using machine learning classification

Combining multiple Parkinson's disease (PD) relevant cellular phenotypes might increase the accuracy of midbrain dopaminergic neuron (mDAN) in vitro models. We differentiated patient-derived induced pluripotent stem cells (iPSCs) with a LRRK2 G2019S mutation, isogenic control, and genetically u...

Descripción completa

Detalles Bibliográficos
Autores principales: Vuidel, Aurore, Cousin, Loïc, Weykopf, Beatrice, Haupt, Simone, Hanifehlou, Zahra, Wiest-Daesslé, Nicolas, Segschneider, Michaela, Lee, Joohyun, Kwon, Yong-Jun, Peitz, Michael, Ogier, Arnaud, Brino, Laurent, Brüstle, Oliver, Sommer, Peter, Wilbertz, Johannes H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Resource
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9561636/
https://www.ncbi.nlm.nih.gov/pubmed/36179692
http://dx.doi.org/10.1016/j.stemcr.2022.09.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9561636/
https://www.ncbi.nlm.nih.gov/pubmed/36179692
http://dx.doi.org/10.1016/j.stemcr.2022.09.001

Ejemplares similares