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Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease

Cell replacement is a long-standing and realistic goal for the treatment of Parkinsonʼs disease (PD). Cells for transplantation can be obtained from fetal brain tissue or from stem cells. However, after transplantation, dopamine (DA) neurons are seen to be a minor component of grafts, and it has rem...

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Autores principales: Tiklová, Katarína, Nolbrant, Sara, Fiorenzano, Alessandro, Björklund, Åsa K., Sharma, Yogita, Heuer, Andreas, Gillberg, Linda, Hoban, Deirdre B., Cardoso, Tiago, Adler, Andrew F., Birtele, Marcella, Lundén-Miguel, Hilda, Volakakis, Nikolaos, Kirkeby, Agnete, Perlmann, Thomas, Parmar, Malin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229159/
https://www.ncbi.nlm.nih.gov/pubmed/32415072
http://dx.doi.org/10.1038/s41467-020-16225-5
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author Tiklová, Katarína
Nolbrant, Sara
Fiorenzano, Alessandro
Björklund, Åsa K.
Sharma, Yogita
Heuer, Andreas
Gillberg, Linda
Hoban, Deirdre B.
Cardoso, Tiago
Adler, Andrew F.
Birtele, Marcella
Lundén-Miguel, Hilda
Volakakis, Nikolaos
Kirkeby, Agnete
Perlmann, Thomas
Parmar, Malin
author_facet Tiklová, Katarína
Nolbrant, Sara
Fiorenzano, Alessandro
Björklund, Åsa K.
Sharma, Yogita
Heuer, Andreas
Gillberg, Linda
Hoban, Deirdre B.
Cardoso, Tiago
Adler, Andrew F.
Birtele, Marcella
Lundén-Miguel, Hilda
Volakakis, Nikolaos
Kirkeby, Agnete
Perlmann, Thomas
Parmar, Malin
author_sort Tiklová, Katarína
collection PubMed
description Cell replacement is a long-standing and realistic goal for the treatment of Parkinsonʼs disease (PD). Cells for transplantation can be obtained from fetal brain tissue or from stem cells. However, after transplantation, dopamine (DA) neurons are seen to be a minor component of grafts, and it has remained difficult to determine the identity of other cell types. Here, we report analysis by single-cell RNA sequencing (scRNA-seq) combined with comprehensive histological analyses to characterize intracerebral grafts from human embryonic stem cells (hESCs) and fetal tissue after functional maturation in a pre-clinical rat PD model. We show that neurons and astrocytes are major components in both fetal and stem cell-derived grafts. Additionally, we identify a cell type closely resembling a class of recently identified perivascular-like cells in stem cell-derived grafts. Thus, this study uncovers previously unknown cellular diversity in a clinically relevant cell replacement PD model.
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spelling pubmed-72291592020-06-05 Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease Tiklová, Katarína Nolbrant, Sara Fiorenzano, Alessandro Björklund, Åsa K. Sharma, Yogita Heuer, Andreas Gillberg, Linda Hoban, Deirdre B. Cardoso, Tiago Adler, Andrew F. Birtele, Marcella Lundén-Miguel, Hilda Volakakis, Nikolaos Kirkeby, Agnete Perlmann, Thomas Parmar, Malin Nat Commun Article Cell replacement is a long-standing and realistic goal for the treatment of Parkinsonʼs disease (PD). Cells for transplantation can be obtained from fetal brain tissue or from stem cells. However, after transplantation, dopamine (DA) neurons are seen to be a minor component of grafts, and it has remained difficult to determine the identity of other cell types. Here, we report analysis by single-cell RNA sequencing (scRNA-seq) combined with comprehensive histological analyses to characterize intracerebral grafts from human embryonic stem cells (hESCs) and fetal tissue after functional maturation in a pre-clinical rat PD model. We show that neurons and astrocytes are major components in both fetal and stem cell-derived grafts. Additionally, we identify a cell type closely resembling a class of recently identified perivascular-like cells in stem cell-derived grafts. Thus, this study uncovers previously unknown cellular diversity in a clinically relevant cell replacement PD model. Nature Publishing Group UK 2020-05-15 /pmc/articles/PMC7229159/ /pubmed/32415072 http://dx.doi.org/10.1038/s41467-020-16225-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Tiklová, Katarína
Nolbrant, Sara
Fiorenzano, Alessandro
Björklund, Åsa K.
Sharma, Yogita
Heuer, Andreas
Gillberg, Linda
Hoban, Deirdre B.
Cardoso, Tiago
Adler, Andrew F.
Birtele, Marcella
Lundén-Miguel, Hilda
Volakakis, Nikolaos
Kirkeby, Agnete
Perlmann, Thomas
Parmar, Malin
Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease
title Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease
title_full Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease
title_fullStr Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease
title_full_unstemmed Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease
title_short Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease
title_sort single cell transcriptomics identifies stem cell-derived graft composition in a model of parkinson’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229159/
https://www.ncbi.nlm.nih.gov/pubmed/32415072
http://dx.doi.org/10.1038/s41467-020-16225-5
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