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Optimized protocol for the generation of functional human induced-pluripotent-stem-cell-derived dopaminergic neurons
Generation of functional human dopaminergic (DA) neurons from human induced pluripotent stem cells (hiPSCs) is a crucial tool for modeling dopamine-related human diseases and cell replacement therapies. Here, we present a protocol to combine neuralizing transcription factor (NGN2) programming and DA...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400954/ https://www.ncbi.nlm.nih.gov/pubmed/37515763 http://dx.doi.org/10.1016/j.xpro.2023.102486 |
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author | Sheta, Razan Teixeira, Maxime Idi, Walid Oueslati, Abid |
author_facet | Sheta, Razan Teixeira, Maxime Idi, Walid Oueslati, Abid |
author_sort | Sheta, Razan |
collection | PubMed |
description | Generation of functional human dopaminergic (DA) neurons from human induced pluripotent stem cells (hiPSCs) is a crucial tool for modeling dopamine-related human diseases and cell replacement therapies. Here, we present a protocol to combine neuralizing transcription factor (NGN2) programming and DA patterning to differentiate hiPSCs into mature and functional induced DA (iDA) neurons. We describe steps from transduction of hiPSCs and neural induction through to differentiation and maturation of near-pure, fully functional iDA neurons within 3 weeks. For complete details on the use and execution of this protocol, please refer to Sheta et al. (2022).(1) |
format | Online Article Text |
id | pubmed-10400954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104009542023-08-05 Optimized protocol for the generation of functional human induced-pluripotent-stem-cell-derived dopaminergic neurons Sheta, Razan Teixeira, Maxime Idi, Walid Oueslati, Abid STAR Protoc Protocol Generation of functional human dopaminergic (DA) neurons from human induced pluripotent stem cells (hiPSCs) is a crucial tool for modeling dopamine-related human diseases and cell replacement therapies. Here, we present a protocol to combine neuralizing transcription factor (NGN2) programming and DA patterning to differentiate hiPSCs into mature and functional induced DA (iDA) neurons. We describe steps from transduction of hiPSCs and neural induction through to differentiation and maturation of near-pure, fully functional iDA neurons within 3 weeks. For complete details on the use and execution of this protocol, please refer to Sheta et al. (2022).(1) Elsevier 2023-07-28 /pmc/articles/PMC10400954/ /pubmed/37515763 http://dx.doi.org/10.1016/j.xpro.2023.102486 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Sheta, Razan Teixeira, Maxime Idi, Walid Oueslati, Abid Optimized protocol for the generation of functional human induced-pluripotent-stem-cell-derived dopaminergic neurons |
title | Optimized protocol for the generation of functional human induced-pluripotent-stem-cell-derived dopaminergic neurons |
title_full | Optimized protocol for the generation of functional human induced-pluripotent-stem-cell-derived dopaminergic neurons |
title_fullStr | Optimized protocol for the generation of functional human induced-pluripotent-stem-cell-derived dopaminergic neurons |
title_full_unstemmed | Optimized protocol for the generation of functional human induced-pluripotent-stem-cell-derived dopaminergic neurons |
title_short | Optimized protocol for the generation of functional human induced-pluripotent-stem-cell-derived dopaminergic neurons |
title_sort | optimized protocol for the generation of functional human induced-pluripotent-stem-cell-derived dopaminergic neurons |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400954/ https://www.ncbi.nlm.nih.gov/pubmed/37515763 http://dx.doi.org/10.1016/j.xpro.2023.102486 |
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