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      Coordinated changes in cellular behavior ensure the lifelong maintenance of the hippocampal stem cell population

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          Summary

          Neural stem cell numbers fall rapidly in the hippocampus of juvenile mice but stabilize during adulthood, ensuring lifelong hippocampal neurogenesis. We show that this stabilization of stem cell numbers in young adults is the result of coordinated changes in stem cell behavior. Although proliferating neural stem cells in juveniles differentiate rapidly, they increasingly return to a resting state of shallow quiescence and progress through additional self-renewing divisions in adulthood. Single-cell transcriptomics, modeling, and label retention analyses indicate that resting cells have a higher activation rate and greater contribution to neurogenesis than dormant cells, which have not left quiescence. These changes in stem cell behavior result from a progressive reduction in expression of the pro-activation protein ASCL1 because of increased post-translational degradation. These cellular mechanisms help reconcile current contradictory models of hippocampal neural stem cell (NSC) dynamics and may contribute to the different rates of decline of hippocampal neurogenesis in mammalian species, including humans.

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          Highlights

          • More proliferating hippocampal stem cells return to shallow quiescence with age

          • Dormant stem cells enter deeper quiescence with age

          • These changes drive the transition from developmental to adult neurogenesis

          • Increasing degradation of ASCL1 protein by HUWE1 coordinates these changes

          Abstract

          Harris et al. show that multiple cellular changes work in concert during early life to preserve the hippocampal stem cell population throughout adulthood in mice. In particular, more proliferating stem cells return to quiescence instead of differentiating. The changes are coordinated by increasing degradation of the pro-activation factor ASCL1.

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          Most cited references67

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            clusterProfiler: an R package for comparing biological themes among gene clusters.

            Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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              Comprehensive Integration of Single-Cell Data

              Single-cell transcriptomics has transformed our ability to characterize cell states, but deep biological understanding requires more than a taxonomic listing of clusters. As new methods arise to measure distinct cellular modalities, a key analytical challenge is to integrate these datasets to better understand cellular identity and function. Here, we develop a strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities. After demonstrating improvement over existing methods for integrating scRNA-seq data, we anchor scRNA-seq experiments with scATAC-seq to explore chromatin differences in closely related interneuron subsets and project protein expression measurements onto a bone marrow atlas to characterize lymphocyte populations. Lastly, we harmonize in situ gene expression and scRNA-seq datasets, allowing transcriptome-wide imputation of spatial gene expression patterns. Our work presents a strategy for the assembly of harmonized references and transfer of information across datasets.
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                Author and article information

                Contributors
                Journal
                Cell Stem Cell
                Cell Stem Cell
                Cell Stem Cell
                Cell Press
                1934-5909
                1875-9777
                06 May 2021
                06 May 2021
                : 28
                : 5
                : 863-876.e6
                Affiliations
                [1 ]Neural Stem Cell Biology Laboratory, The Francis Crick Institute, London NW1 1AT, UK
                [2 ]Institute of Applied Mathematics, Heidelberg University, 69120 Heidelberg, Germany
                [3 ]Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, 69120 Heidelberg, Germany
                [4 ]Bioquant Center, Heidelberg University, 69120 Heidelberg, Germany
                [5 ]Advanced Sequencing Facility, The Francis Crick Institute, London NW1 1AT, UK
                Author notes
                []Corresponding author francois.guillemot@ 123456crick.ac.uk
                [6]

                Present address: Orchard Therapeutics Limited, 108 Cannon St., London EC4N 6EU, UK

                [7]

                Present address: Nuclera Nucleics, Cambridge Science Park, Cambridge CB4 0GD, UK

                [8]

                Present address: Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna Biocenter Campus (VBC), Dr. Bohr Gasse 3, 1030 Vienna, Austria

                [9]

                Lead contact

                Article
                S1934-5909(21)00003-5
                10.1016/j.stem.2021.01.003
                8110946
                33581058
                2d80694e-ad89-441e-b350-0368e316c4ec
                © 2021 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 2 March 2020
                : 9 October 2020
                : 7 January 2021
                Categories
                Article

                Molecular medicine
                neural stem cell,hippocampus,quiescence,age,neurogenesis,dormant,resting,ascl1,huwe1
                Molecular medicine
                neural stem cell, hippocampus, quiescence, age, neurogenesis, dormant, resting, ascl1, huwe1

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