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Modeling Cell-Cell Interactions in Parkinson's Disease Using Human Stem Cell-Based Models.
Simmnacher, Katrin; Lanfer, Jonas; Rizo, Tania; Kaindl, Johanna; Winner, Beate.
Afiliación
  • Simmnacher K; Department of Stem Cell Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Lanfer J; Department of Stem Cell Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Rizo T; Department of Stem Cell Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Kaindl J; Department of Stem Cell Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Winner B; Department of Stem Cell Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Front Cell Neurosci ; 13: 571, 2019.
Article en En | MEDLINE | ID: mdl-32009903
ABSTRACT
Parkinson's disease (PD) is the most frequently occurring movement disorder, with an increasing incidence due to an aging population. For many years, the post-mortem brain was regarded as the gold standard for the analysis of the human pathology of this disease. However, modern stem cell technologies, including the analysis of patient-specific neurons and glial cells, have opened up new avenues for dissecting the pathologic mechanisms of PD. Most data on morphological changes, such as cell death or changes in neurite complexity, or functional deficits were acquired in 2D and few in 3D models. This review will examine the prerequisites for human disease modeling in PD, covering the generation of midbrain neurons, 3D organoid midbrain models, the selection of controls including genetically engineered lines, and the study of cell-cell interactions. We will present major disease phenotypes in human in vitro models of PD, focusing on those phenotypes that have been detected in genetic and sporadic PD models. An additional point covered in this review will be the use of induced pluripotent stem cell (iPSC)-derived technologies to model cell-cell interactions in PD.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Front Cell Neurosci Año: 2019 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Front Cell Neurosci Año: 2019 Tipo del documento: Article País de afiliación: Alemania