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      Gene expression and functional deficits underlie TREM2-knockout microglia responses in human models of Alzheimer’s disease

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          Abstract

          The discovery of TREM2 as a myeloid-specific Alzheimer’s disease (AD) risk gene has accelerated research into the role of microglia in AD. While TREM2 mouse models have provided critical insight, the normal and disease-associated functions of TREM2 in human microglia remain unclear. To examine this question, we profile microglia differentiated from isogenic, CRISPR-modified TREM2-knockout induced pluripotent stem cell (iPSC) lines. By combining transcriptomic and functional analyses with a chimeric AD mouse model, we find that TREM2 deletion reduces microglial survival, impairs phagocytosis of key substrates including APOE, and inhibits SDF-1α/CXCR4-mediated chemotaxis, culminating in an impaired response to beta-amyloid plaques in vivo. Single-cell sequencing of xenotransplanted human microglia further highlights a loss of disease-associated microglial (DAM) responses in human TREM2 knockout microglia that we validate by flow cytometry and immunohistochemistry. Taken together, these studies reveal both conserved and novel aspects of human TREM2 biology that likely play critical roles in the development and progression of AD.

          Abstract

          Mutations in TREM2 alter risk for Alzheimer’s disease, though the mechanisms underlying risk in human cells are unclear. Here, the authors use iPS-microglia and chimeric mice to highlight altered survival, phagocytosis, migration, and transcriptional programs in microglia lacking TREM2.

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          Most cited references67

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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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            A Unique Microglia Type Associated with Restricting Development of Alzheimer's Disease.

            Alzheimer's disease (AD) is a detrimental neurodegenerative disease with no effective treatments. Due to cellular heterogeneity, defining the roles of immune cell subsets in AD onset and progression has been challenging. Using transcriptional single-cell sorting, we comprehensively map all immune populations in wild-type and AD-transgenic (Tg-AD) mouse brains. We describe a novel microglia type associated with neurodegenerative diseases (DAM) and identify markers, spatial localization, and pathways associated with these cells. Immunohistochemical staining of mice and human brain slices shows DAM with intracellular/phagocytic Aβ particles. Single-cell analysis of DAM in Tg-AD and triggering receptor expressed on myeloid cells 2 (Trem2)(-/-) Tg-AD reveals that the DAM program is activated in a two-step process. Activation is initiated in a Trem2-independent manner that involves downregulation of microglia checkpoints, followed by activation of a Trem2-dependent program. This unique microglia-type has the potential to restrict neurodegeneration, which may have important implications for future treatment of AD and other neurodegenerative diseases. VIDEO ABSTRACT.
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              An RNA-sequencing transcriptome and splicing database of glia, neurons, and vascular cells of the cerebral cortex.

              The major cell classes of the brain differ in their developmental processes, metabolism, signaling, and function. To better understand the functions and interactions of the cell types that comprise these classes, we acutely purified representative populations of neurons, astrocytes, oligodendrocyte precursor cells, newly formed oligodendrocytes, myelinating oligodendrocytes, microglia, endothelial cells, and pericytes from mouse cerebral cortex. We generated a transcriptome database for these eight cell types by RNA sequencing and used a sensitive algorithm to detect alternative splicing events in each cell type. Bioinformatic analyses identified thousands of new cell type-enriched genes and splicing isoforms that will provide novel markers for cell identification, tools for genetic manipulation, and insights into the biology of the brain. For example, our data provide clues as to how neurons and astrocytes differ in their ability to dynamically regulate glycolytic flux and lactate generation attributable to unique splicing of PKM2, the gene encoding the glycolytic enzyme pyruvate kinase. This dataset will provide a powerful new resource for understanding the development and function of the brain. To ensure the widespread distribution of these datasets, we have created a user-friendly website (http://web.stanford.edu/group/barres_lab/brain_rnaseq.html) that provides a platform for analyzing and comparing transciption and alternative splicing profiles for various cell classes in the brain. Copyright © 2014 the authors 0270-6474/14/3411929-19$15.00/0.
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                Author and article information

                Contributors
                mblurton@uci.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                23 October 2020
                23 October 2020
                2020
                : 11
                : 5370
                Affiliations
                [1 ]GRID grid.266093.8, ISNI 0000 0001 0668 7243, Department of Neurobiology & Behavior, , University of California Irvine, ; Irvine, CA 92697 USA
                [2 ]GRID grid.266093.8, ISNI 0000 0001 0668 7243, Sue and Bill Gross Stem Cell Research Center, , University of California Irvine, ; Irvine, CA 92697 USA
                [3 ]GRID grid.266093.8, ISNI 0000 0001 0668 7243, Institute for Memory Impairments and Neurological Disorders, , University of California Irvine, ; Irvine, CA 92697 USA
                [4 ]GRID grid.266859.6, ISNI 0000 0000 8598 2218, Department of Mechanical Engineering and Engineering Science, , University of North Carolina Charlotte, ; Charlotte, NC 28223 USA
                [5 ]GRID grid.266859.6, ISNI 0000 0000 8598 2218, Department of Biological Sciences, , University of North Carolina Charlotte, ; Charlotte, NC 28223 USA
                [6 ]GRID grid.266859.6, ISNI 0000 0000 8598 2218, Nanoscale Science Program, , University of North Carolina Charlotte, ; Charlotte, NC 28223 USA
                [7 ]GRID grid.266859.6, ISNI 0000 0000 8598 2218, Center for Biomedical Engineering and Science, , University of North Carolina Charlotte, ; Charlotte, NC 28223 USA
                [8 ]GRID grid.266093.8, ISNI 0000 0001 0668 7243, Department of Physiology and Biophysics, , University of California Irvine, ; Irvine, CA 92697 USA
                [9 ]GRID grid.9486.3, ISNI 0000 0001 2159 0001, Institute of Neurobiology, , National Autonomous University of Mexico, ; Queretaro, Mexico
                [10 ]GRID grid.266093.8, ISNI 0000 0001 0668 7243, Department of Psychology and Human Behavior, , University of California Irvine, ; Irvine, CA 92697 USA
                [11 ]GRID grid.264381.a, ISNI 0000 0001 2181 989X, Department of Biophysics, , Sungkyunkwan University, ; Suwon, 16419 Korea
                Author information
                http://orcid.org/0000-0001-5368-6788
                http://orcid.org/0000-0003-2630-9850
                http://orcid.org/0000-0001-9910-195X
                http://orcid.org/0000-0001-8554-6456
                http://orcid.org/0000-0003-1829-2462
                http://orcid.org/0000-0002-7770-7157
                Article
                19227
                10.1038/s41467-020-19227-5
                7584603
                33097708
                54f8123a-82b2-4e9d-8c1d-60b226ed301d
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 May 2019
                : 30 September 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000065, U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS);
                Award ID: NS082174
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000009, Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.);
                Award ID: AG00096
                Award ID: AG000096
                Award Recipient :
                Funded by: HD Care
                Funded by: Cure Alzheimer’s Fund
                Funded by: FundRef https://doi.org/10.13039/100000900, California Institute for Regenerative Medicine (CIRM);
                Award ID: RT3-07893
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000049, U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging);
                Award ID: AG016573
                Award Recipient :
                Funded by: Susan Scott Foundation
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                mechanisms of disease,transcriptomics,alzheimer's disease,microglia
                Uncategorized
                mechanisms of disease, transcriptomics, alzheimer's disease, microglia

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