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Author Correction: Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease
- 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.
- Subjects :
- Embryonic stem cells
Multidisciplinary
Parkinson's disease
Single cell transcriptomics
Science
General Physics and Astronomy
General Chemistry
Computational biology
Biology
medicine.disease
General Biochemistry, Genetics and Molecular Biology
Article
medicine
Regeneration
lcsh:Q
Stem cell
lcsh:Science
Subjects
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