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      Single cell transcriptomic analysis defines heterogeneity and transcriptional dynamics in the adult neural stem cell lineage

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          Summary

          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 fluorescent-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.

          ETOC Blurb

          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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          Author and article information

          Journal
          101573691
          39703
          Cell Rep
          Cell Rep
          Cell reports
          2211-1247
          8 January 2017
          17 January 2017
          27 January 2017
          : 18
          : 3
          : 777-790
          Affiliations
          [1 ]Department of Genetics, Stanford University, Stanford CA 94305
          [2 ]Stanford Medical Scientist Training Program, Stanford University, Stanford CA 94305
          [3 ]Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford CA 94305
          [4 ]Cancer Biology Program, Stanford University, Stanford CA 94305
          [5 ]Fluidigm Corporation, South San Francisco, CA 94080
          [6 ]Glenn Laboratories for the Biology of Aging at Stanford University
          Author notes
          [7 ]Corresponding author: abrunet1@ 123456stanford.edu
          [8]

          Lead Contact

          Article
          PMC5269583 PMC5269583 5269583 nihpa839312
          10.1016/j.celrep.2016.12.060
          5269583
          28099854
          07bd7ebc-887a-4949-8f29-63361520cf4c
          History
          Categories
          Article

          Neural stem cells,adult neurogenesis,single cell RNA-seq,machine learning,pseudotemporal ordering

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