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      Div-Seq: Single nucleus RNA-Seq reveals dynamics of rare adult newborn neurons

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          Abstract

          Single cell RNA-Seq provides rich information about cell types and states. However, it is difficult to capture rare dynamic processes, such as adult neurogenesis, because isolation of rare neurons from adult tissue is challenging and markers for each phase are limited. Here, we develop Div-Seq, which combines scalable single nucleus RNA-Seq (sNuc-Seq) with pulse labeling of proliferating cells by EdU to profile individual dividing cells. sNuc-Seq and Div-Seq can sensitively identify closely related hippocampal cell types and track transcriptional dynamics of newborn neurons within the adult hippocampal neurogenic niche, respectively. We also apply Div-Seq to identify and profile rare newborn GABAergic neurons in the adult spinal cord, a non-canonical neurogenic region. sNuc-Seq and Div-Seq open the way for unbiased analysis of diverse complex tissues.

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          Author and article information

          Journal
          0404511
          7473
          Science
          Science
          Science (New York, N.Y.)
          0036-8075
          1095-9203
          20 April 2017
          28 July 2016
          26 August 2016
          22 June 2017
          : 353
          : 6302
          : 925-928
          Affiliations
          [1 ]Broad Institute of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, USA
          [2 ]Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, 75 Ames Street, Cambridge, Massachusetts 02142, USA
          [3 ]McGovern Institute of Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
          [4 ]Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
          [5 ]Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
          [6 ]Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
          [7 ]Howard Hughes Medical Institute, Koch Institute of Integrative Cancer Research, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
          Author notes
          []To whom correspondence should be addressed; zhang@ 123456broadinstitute.org (F.Z.); aregev@ 123456broadinstitute.org (A.R.)
          [*]

          These authors contributed equally to this work.

          Article
          PMC5480621 PMC5480621 5480621 nihpa864677
          10.1126/science.aad7038
          5480621
          27471252
          3fe5cbf6-a547-47df-9519-da5b328f788d
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