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      Neuronal circuitry mechanism regulating adult quiescent neural stem cell fate decision

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          Abstract

          Adult neurogenesis arises from neural stem cells within specialized niches 13 . Neuronal activity and experience, presumably acting upon this local niche, regulate multiple stages of adult neurogenesis, from neural progenitor proliferation to new neuron maturation, synaptic integration and survival 1, 3 . Whether local neuronal circuitry has a direct impact on adult neural stem cells is unknown. Here we show that in the adult hippocampus nestin-expressing radial glia-like quiescent neural stem cells 49 (RGLs) respond tonically to the neurotransmitter GABA via γ 2 subunit-containing GABA A Rs. Clonal analysis 9 of individual RGLs revealed a rapid exit from quiescence and enhanced symmetric self-renewal after conditional γ 2 deletion. RGLs are in close proximity to GAD67 + terminals of parvalbumin-expressing (PV +) interneurons and respond tonically to GABA released from these neurons. Functionally, optogenetic control of dentate PV +, but not somatostatin- or vasoactive intestinal polypeptide (VIP)-expressing, interneuron activity can dictate the RGL choice between quiescence and activation. Furthermore, PV + interneuron activation restores RGL quiescence following social isolation, an experience that induces RGL activation and symmetric division 8 . Our study identifies a niche cell-signal-receptor trio and a local circuitry mechanism that control the activation and self-renewal mode of quiescent adult neural stem cells in response to neuronal activity and experience.

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          Most cited references22

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          Mechanisms and functional implications of adult neurogenesis.

          The generation of new neurons is sustained throughout adulthood in the mammalian brain due to the proliferation and differentiation of adult neural stem cells. In this review, we discuss the factors that regulate proliferation and fate determination of adult neural stem cells and describe recent studies concerning the integration of newborn neurons into the existing neural circuitry. We further address the potential significance of adult neurogenesis in memory, depression, and neurodegenerative disorders such as Alzheimer's and Parkinson's disease.
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            A resource of Cre driver lines for genetic targeting of GABAergic neurons in cerebral cortex.

            A key obstacle to understanding neural circuits in the cerebral cortex is that of unraveling the diversity of GABAergic interneurons. This diversity poses general questions for neural circuit analysis: how are these interneuron cell types generated and assembled into stereotyped local circuits and how do they differentially contribute to circuit operations that underlie cortical functions ranging from perception to cognition? Using genetic engineering in mice, we have generated and characterized approximately 20 Cre and inducible CreER knockin driver lines that reliably target major classes and lineages of GABAergic neurons. More select populations are captured by intersection of Cre and Flp drivers. Genetic targeting allows reliable identification, monitoring, and manipulation of cortical GABAergic neurons, thereby enabling a systematic and comprehensive analysis from cell fate specification, migration, and connectivity, to their functions in network dynamics and behavior. As such, this approach will accelerate the study of GABAergic circuits throughout the mammalian brain. Copyright © 2011 Elsevier Inc. All rights reserved.
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              Interneurons of the hippocampus.

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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                25 June 2012
                6 September 2012
                06 March 2013
                : 489
                : 7414
                : 150-154
                Affiliations
                [1 ]Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
                [2 ]Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
                [3 ]The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
                [4 ]Department of Neurobiology and Behaviour, State University of New York at Stony Brook, NY 11794, USA
                [5 ]Department of Neuroscience, Karolinska Institutet, S-171 77 Stockholm, Sweden
                [6 ]Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
                [7 ]Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
                [8 ]Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
                Author notes
                Correspondence should be addressed to: Hongjun Song, Ph.D. shongju1@ 123456jhmi.edu . Institute for Cell Engineering, Department of Neurology, Johns Hopkins University School of Medicine, 733 N. Broadway, BRB759, Baltimore, MD 21205, USA. Tel: 443-287-7499; Fax: 410-614-9568. Guo-li Ming, M.D. & Ph.D. gming1@ 123456jhmi.edu , Institute for Cell Engineering, Department of Neurology, Johns Hopkins University School of Medicine, 733 N. Broadway, BRB779, Baltimore, MD 21205, USA. Tel: 443-287-7498; Fax: 410-614-9568
                Article
                NIHMS384645
                10.1038/nature11306
                3438284
                22842902
                9cef3966-6207-42fb-b773-697cbe232a16

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