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Characterization of human-iPSCs derived spinal motor neurons by single-cell RNA sequencing
- Publication Year :
- 2019
- Publisher :
- Cold Spring Harbor Laboratory, 2019.
-
Abstract
- Human induced pluripotent stem cells (iPSCs) offer the opportunity to generate specific cell types from healthy and diseased individuals, allowing the study of mechanisms of early human development, modelling a variety of human diseases, and facilitating the development of new therapeutics. Human iPSC-based applications are often limited by the variability among iPSC lines originating from a single donor, as well as the heterogeneity among specific cell types that can be derived from iPSCs. The ability to deeply phenotype different iPSC-derived cell types is therefore of primary importance to the successful and informative application of this technology. Here we describe a combination of motor neuron (MN) derivation and single-cell RNA sequencing approaches to generate and characterize specific MN subtypes obtained from human iPSCs. Our studies provide evidence for rapid and robust generation of MN progenitor cells that can give rise to a heterogenous population of brainstem and spinal cord MNs. Approximately 58% of human iPSC-derived MNs display molecular characteristics of lateral motor column MNs, ∼19% of induced MNs resemble hypaxial motor column MNs, while ∼6% of induced MNs have features of medial motor column MNs. The present study has the potential to improve our understanding of iPSC-derived MN subtype function and dysfunction, possibly leading to improved iPSC-based applications for the study of human MN biology and diseases.
- Subjects :
- 0303 health sciences
Cell type
education.field_of_study
Population
Cell
Motor neuron
Biology
Spinal cord
Phenotype
03 medical and health sciences
0302 clinical medicine
medicine.anatomical_structure
medicine
Progenitor cell
education
Induced pluripotent stem cell
Neuroscience
030217 neurology & neurosurgery
030304 developmental biology
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....10f522d5dfecea8fb82b3cb21fc2b7b5
- Full Text :
- https://doi.org/10.1101/2019.12.28.889972