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Modelling Parkinson’s Disease: iPSCs towards Better Understanding of Human Pathology
Parkinson’s Disease (PD) is a chronic neurodegenerative disorder characterized by motor and non-motor symptoms, among which are bradykinesia, rigidity, tremor as well as mental symptoms such as dementia. The underlying cause of Parkinson disease is degeneration of dopaminergic neurons. It has been c...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000082/ https://www.ncbi.nlm.nih.gov/pubmed/33799491 http://dx.doi.org/10.3390/brainsci11030373 |
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author | Avazzadeh, Sahar Baena, Jara Maria Keighron, Cameron Feller-Sanchez, Yajaira Quinlan, Leo R. |
author_facet | Avazzadeh, Sahar Baena, Jara Maria Keighron, Cameron Feller-Sanchez, Yajaira Quinlan, Leo R. |
author_sort | Avazzadeh, Sahar |
collection | PubMed |
description | Parkinson’s Disease (PD) is a chronic neurodegenerative disorder characterized by motor and non-motor symptoms, among which are bradykinesia, rigidity, tremor as well as mental symptoms such as dementia. The underlying cause of Parkinson disease is degeneration of dopaminergic neurons. It has been challenging to develop an efficient animal model to accurately represent the complex phenotypes found with PD. However, it has become possible to recapitulate the myriad of phenotypes underlying the PD pathology by using human induced pluripotent stem cell (iPSC) technology. Patient-specific iPSC-derived dopaminergic neurons are available and present an opportunity to study many aspects of the PD phenotypes in a dish. In this review, we report the available data on iPSC-derived neurons derived from PD patients with identified gene mutations. Specifically, we will report on the key phenotypes of the generated iPSC-derived neurons from PD patients with different genetic background. Furthermore, we discuss the relationship these cellular phenotypes have to PD pathology and future challenges and prospects for iPSC modelling and understanding of the pathogenesis of PD. |
format | Online Article Text |
id | pubmed-8000082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80000822021-03-28 Modelling Parkinson’s Disease: iPSCs towards Better Understanding of Human Pathology Avazzadeh, Sahar Baena, Jara Maria Keighron, Cameron Feller-Sanchez, Yajaira Quinlan, Leo R. Brain Sci Review Parkinson’s Disease (PD) is a chronic neurodegenerative disorder characterized by motor and non-motor symptoms, among which are bradykinesia, rigidity, tremor as well as mental symptoms such as dementia. The underlying cause of Parkinson disease is degeneration of dopaminergic neurons. It has been challenging to develop an efficient animal model to accurately represent the complex phenotypes found with PD. However, it has become possible to recapitulate the myriad of phenotypes underlying the PD pathology by using human induced pluripotent stem cell (iPSC) technology. Patient-specific iPSC-derived dopaminergic neurons are available and present an opportunity to study many aspects of the PD phenotypes in a dish. In this review, we report the available data on iPSC-derived neurons derived from PD patients with identified gene mutations. Specifically, we will report on the key phenotypes of the generated iPSC-derived neurons from PD patients with different genetic background. Furthermore, we discuss the relationship these cellular phenotypes have to PD pathology and future challenges and prospects for iPSC modelling and understanding of the pathogenesis of PD. MDPI 2021-03-14 /pmc/articles/PMC8000082/ /pubmed/33799491 http://dx.doi.org/10.3390/brainsci11030373 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Review Avazzadeh, Sahar Baena, Jara Maria Keighron, Cameron Feller-Sanchez, Yajaira Quinlan, Leo R. Modelling Parkinson’s Disease: iPSCs towards Better Understanding of Human Pathology |
title | Modelling Parkinson’s Disease: iPSCs towards Better Understanding of Human Pathology |
title_full | Modelling Parkinson’s Disease: iPSCs towards Better Understanding of Human Pathology |
title_fullStr | Modelling Parkinson’s Disease: iPSCs towards Better Understanding of Human Pathology |
title_full_unstemmed | Modelling Parkinson’s Disease: iPSCs towards Better Understanding of Human Pathology |
title_short | Modelling Parkinson’s Disease: iPSCs towards Better Understanding of Human Pathology |
title_sort | modelling parkinson’s disease: ipscs towards better understanding of human pathology |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000082/ https://www.ncbi.nlm.nih.gov/pubmed/33799491 http://dx.doi.org/10.3390/brainsci11030373 |
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