Single-Cell Transcriptomic Analysis Defines Heterogeneity and Transcriptional Dynamics in the Adult Neural Stem Cell Lineage
Neural stem cells (NSCs) in the adult mammalian brain serve as a reservoir for the generation of new neurons, oligodendrocytes, and astrocytes. Here, we use single-cell RNA sequencing to characterize adult NSC populations and examine the molecular identities and heterogeneity of in vivo NSC populati...
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Veröffentlicht in: | Cell reports (Cambridge) 2017-01, Vol.18 (3), p.777-790 |
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Sprache: | eng |
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Zusammenfassung: | Neural stem cells (NSCs) in the adult mammalian brain serve as a reservoir for the generation of new neurons, oligodendrocytes, and astrocytes. Here, we use single-cell RNA sequencing to characterize adult NSC populations and examine the molecular identities and heterogeneity of in vivo NSC populations. We find that cells in the NSC lineage exist on a continuum through the processes of activation and differentiation. Interestingly, rare intermediate states with distinct molecular profiles can be identified and experimentally validated, and our analysis identifies putative surface markers and key intracellular regulators for these subpopulations of NSCs. Finally, using the power of single-cell profiling, we conduct a meta-analysis to compare in vivo NSCs and in vitro cultures, distinct fluorescence-activated cell sorting strategies, and different neurogenic niches. These data provide a resource for the field and contribute to an integrative understanding of the adult NSC lineage.
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•Single-cell RNA-seq to characterize adult neural stem cell populations•Machine learning and pseudotemporal ordering show a continuum in the lineage•Validation of an intermediate state in the neural stem cell population•Meta-analysis with other in vitro and in vivo single-cell datasets
Dulken et al. perform single-cell transcriptomics on neural stem cells (NSCs) from adult mice. They use machine learning to identify rare intermediate cells in the continuum of the NSC lineage and perform a meta-analysis with other single-cell transcriptomic data from in vitro or in vivo NSCs. |
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ISSN: | 2211-1247 2211-1247 |
DOI: | 10.1016/j.celrep.2016.12.060 |