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

Authors :
Malin Parmar
Katarina Tiklova
Linda Gillberg
Åsa K. Björklund
Deirdre B. Hoban
Thomas Perlmann
Andrew F. Adler
Agnete Kirkeby
Marcella Birtele
Andreas Heuer
Yogita Sharma
Tiago Cardoso
Alessandro Fiorenzano
Nikolaos Volakakis
Sara Nolbrant
Hilda Lundén-Miguel
Source :
Nature Communications, Vol 11, Iss 1, Pp 1-1 (2020), Nature Communications
Publication Year :
2020
Publisher :
Nature Publishing Group, 2020.

Abstract

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.<br />What happens to cells on engrafting into the brain in animal models to treat Parkinson’s disease is unclear. Here, the authors use scRNA-seq to examine ventral midbrain (VM)-patterned human embryonic stem cells after functional maturation in a pre-clinical rat model for Parkinson’s disease and identify perivascular-like cells.

Details

Language :
English
ISSN :
20411723
Volume :
11
Issue :
1
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....bc8a964e547e240996ea31d95f07e9f3
Full Text :
https://doi.org/10.1038/s41467-020-17421-z