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      Anti-human TREM2 induces microglia proliferation and reduces pathology in an Alzheimer’s disease model

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          Abstract

          Wang et al. demonstrate that a mAb specific for the human microglial receptor TREM2 induces microglia proliferation, ameliorates Aβ-induced pathology in a mouse model of Alzheimer’s disease, and can be given safely in a first-in-human phase I clinical trial.

          Abstract

          TREM2 is a receptor for lipids expressed in microglia. The R47H variant of human TREM2 impairs ligand binding and increases Alzheimer’s disease (AD) risk. In mouse models of amyloid β (Aβ) accumulation, defective TREM2 function affects microglial response to Aβ plaques, exacerbating tissue damage, whereas TREM2 overexpression attenuates pathology. Thus, AD may benefit from TREM2 activation. Here, we examined the impact of an anti-human TREM2 agonistic mAb, AL002c, in a mouse AD model expressing either the common variant (CV) or the R47H variant of TREM2. Single-cell RNA-seq of microglia after acute systemic administration of AL002c showed induction of proliferation in both CV- and R47H-transgenic mice. Prolonged administration of AL002c reduced filamentous plaques and neurite dystrophy, impacted behavior, and tempered microglial inflammatory response. We further showed that a variant of AL002c is safe and well tolerated in a first-in-human phase I clinical trial and engages TREM2 based on cerebrospinal fluid biomarkers. We conclude that AL002 is a promising candidate for AD therapy.

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          Integrating single-cell transcriptomic data across different conditions, technologies, and species

          Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied to experiments representing a single condition, technology, or species to discover and define cellular phenotypes. However, identifying subpopulations of cells that are present across multiple data sets remains challenging. Here, we introduce an analytical strategy for integrating scRNA-seq data sets based on common sources of variation, enabling the identification of shared populations across data sets and downstream comparative analysis. We apply this approach, implemented in our R toolkit Seurat (http://satijalab.org/seurat/), to align scRNA-seq data sets of peripheral blood mononuclear cells under resting and stimulated conditions, hematopoietic progenitors sequenced using two profiling technologies, and pancreatic cell 'atlases' generated from human and mouse islets. In each case, we learn distinct or transitional cell states jointly across data sets, while boosting statistical power through integrated analysis. Our approach facilitates general comparisons of scRNA-seq data sets, potentially deepening our understanding of how distinct cell states respond to perturbation, disease, and evolution.
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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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              Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.

              To explore the distinct genotypic and phenotypic states of melanoma tumors, we applied single-cell RNA sequencing (RNA-seq) to 4645 single cells isolated from 19 patients, profiling malignant, immune, stromal, and endothelial cells. Malignant cells within the same tumor displayed transcriptional heterogeneity associated with the cell cycle, spatial context, and a drug-resistance program. In particular, all tumors harbored malignant cells from two distinct transcriptional cell states, such that tumors characterized by high levels of the MITF transcription factor also contained cells with low MITF and elevated levels of the AXL kinase. Single-cell analyses suggested distinct tumor microenvironmental patterns, including cell-to-cell interactions. Analysis of tumor-infiltrating T cells revealed exhaustion programs, their connection to T cell activation and clonal expansion, and their variability across patients. Overall, we begin to unravel the cellular ecosystem of tumors and how single-cell genomics offers insights with implications for both targeted and immune therapies.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: Formal analysisRole: InvestigationRole: Project administrationRole: SoftwareRole: VisualizationRole: Writing - review & editing
                Role: Formal analysisRole: InvestigationRole: Resources
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: Visualization
                Role: InvestigationRole: Methodology
                Role: Methodology
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing - review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing - review & editing
                Role: InvestigationRole: MethodologyRole: Writing - original draftRole: Writing - review & editing
                Role: ResourcesRole: Writing - review & editing
                Role: Resources
                Role: Formal analysisRole: InvestigationRole: Methodology
                Role: ConceptualizationRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: ResourcesRole: SupervisionRole: Writing - review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing - original draftRole: Writing - review & editing
                Journal
                J Exp Med
                J. Exp. Med
                jem
                The Journal of Experimental Medicine
                Rockefeller University Press
                0022-1007
                1540-9538
                07 September 2020
                24 June 2020
                : 217
                : 9
                : e20200785
                Affiliations
                [1 ]Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO
                [2 ]Alector LLC, South San Francisco, CA
                [3 ]Department of Psychiatry and Neurology, Washington University School of Medicine, St Louis, MO
                Author notes
                Correspondence to Marco Colonna: mcolonna@ 123456wustl.edu
                [*]

                S. Wang and M. Mustafa contributed equally to this paper.

                Disclosures: M. Mustafa, S.V. Salazar, P. Kong, H. Long, M. Ward, O. Siddiqui, R. Paul, A. Ibrahim, H. Rhinn, I. Tassi, A. Rosenthal, and T. Schwabe reported "other" from Alector, Inc. during the conduct of the study. The authors are employees of Alector LLC and may have an equity interest in Alector, Inc. Alector and AbbVie are parties to an agreement relating to the development and commercialization of AL002. M. Colonna reported "other" from Alector and grants from Alector, Amgen, and Ono during the conduct of the study. In addition, Alector LLC has pending patent applications and M. Colonna has a patent to TREM2 pending. No other disclosures were reported.

                Author information
                https://orcid.org/0000-0003-1049-9127
                https://orcid.org/0000-0002-2638-9523
                https://orcid.org/0000-0003-1672-0996
                https://orcid.org/0000-0001-5222-4987
                Article
                jem.20200785
                10.1084/jem.20200785
                7478730
                32579671
                12be2e82-de31-4b08-b2ab-d88a34af3c4a
                © 2020 Wang et al.

                This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/).

                History
                : 23 April 2020
                : 14 May 2020
                : 15 May 2020
                Page count
                Pages: 19
                Funding
                Funded by: National Institutes of Health, DOI http://dx.doi.org/10.13039/100000002;
                Award ID: RF1AG05148501
                Award ID: R21 AG059176
                Award ID: RF1 AG059082
                Funded by: Cure Alzheimer’s Fund, DOI http://dx.doi.org/10.13039/100007625;
                Categories
                Article
                Neuroinflammation

                Medicine
                Medicine

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