A robust protocol for the generation of human midbrain organoids

A robust protocol for the generation of human midbrain organoids

Summary: The lack of advanced in vitro models recapitulating the human brain complexity is still a major obstacle in brain development and neurological disease research. Here, we describe a robust protocol to derive human midbrain organoids from neuroepithelial stem cells. These complex 3D models ar...

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Main Authors: Alise Zagare, Matthieu Gobin, Anna S. Monzel, Jens C. Schwamborn
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:STAR Protocols
Subjects:
Cell culture
Neuroscience
Stem Cells
Cell Differentiation
Organoids
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166721002318
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spelling doaj-43d9513765aa4cb2815b6ea8540ac9eb2021-06-21T04:25:32ZengElsevierSTAR Protocols2666-16672021-06-0122100524A robust protocol for the generation of human midbrain organoidsAlise Zagare0Matthieu Gobin1Anna S. Monzel2Jens C. Schwamborn3Developmental and Cellular Biology, Luxembourg Centre for Systems Biomedecine (LCSB), University of Luxembourg, 6, Avenue du Swing, 4367 Belvaux, Luxembourg; Corresponding authorDevelopmental and Cellular Biology, Luxembourg Centre for Systems Biomedecine (LCSB), University of Luxembourg, 6, Avenue du Swing, 4367 Belvaux, LuxembourgDevelopmental and Cellular Biology, Luxembourg Centre for Systems Biomedecine (LCSB), University of Luxembourg, 6, Avenue du Swing, 4367 Belvaux, LuxembourgDevelopmental and Cellular Biology, Luxembourg Centre for Systems Biomedecine (LCSB), University of Luxembourg, 6, Avenue du Swing, 4367 Belvaux, Luxembourg; Corresponding authorSummary: The lack of advanced in vitro models recapitulating the human brain complexity is still a major obstacle in brain development and neurological disease research. Here, we describe a robust protocol to derive human midbrain organoids from neuroepithelial stem cells. These complex 3D models are characterized by the presence of functional neurons, including dopaminergic neurons and glial cells, making them particularly attractive for the study of Parkinson disease.For complete details on the use and execution of this protocol, please refer to Monzel et al. (2017).http://www.sciencedirect.com/science/article/pii/S2666166721002318Cell cultureNeuroscienceStem CellsCell DifferentiationOrganoids
collection DOAJ
language English
format Article
sources DOAJ
author Alise Zagare
Matthieu Gobin
Anna S. Monzel
Jens C. Schwamborn
spellingShingle Alise Zagare
Matthieu Gobin
Anna S. Monzel
Jens C. Schwamborn
A robust protocol for the generation of human midbrain organoids
STAR Protocols
Cell culture
Neuroscience
Stem Cells
Cell Differentiation
Organoids
author_facet Alise Zagare
Matthieu Gobin
Anna S. Monzel
Jens C. Schwamborn
author_sort Alise Zagare
title A robust protocol for the generation of human midbrain organoids
title_short A robust protocol for the generation of human midbrain organoids
title_full A robust protocol for the generation of human midbrain organoids
title_fullStr A robust protocol for the generation of human midbrain organoids
title_full_unstemmed A robust protocol for the generation of human midbrain organoids
title_sort robust protocol for the generation of human midbrain organoids
publisher Elsevier
series STAR Protocols
issn 2666-1667
publishDate 2021-06-01
description Summary: The lack of advanced in vitro models recapitulating the human brain complexity is still a major obstacle in brain development and neurological disease research. Here, we describe a robust protocol to derive human midbrain organoids from neuroepithelial stem cells. These complex 3D models are characterized by the presence of functional neurons, including dopaminergic neurons and glial cells, making them particularly attractive for the study of Parkinson disease.For complete details on the use and execution of this protocol, please refer to Monzel et al. (2017).
topic Cell culture
Neuroscience
Stem Cells
Cell Differentiation
Organoids
url http://www.sciencedirect.com/science/article/pii/S2666166721002318
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