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      Integrated single cell analysis of blood and cerebrospinal fluid leukocytes in multiple sclerosis

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          Abstract

          Cerebrospinal fluid (CSF) protects the central nervous system (CNS) and analyzing CSF aids the diagnosis of CNS diseases, but our understanding of CSF leukocytes remains superficial. Here, using single cell transcriptomics, we identify a specific location-associated composition and transcriptome of CSF leukocytes. Multiple sclerosis (MS) – an autoimmune disease of the CNS – increases transcriptional diversity in blood, but increases cell type diversity in CSF including a higher abundance of cytotoxic phenotype T helper cells. An analytical approach, named cell set enrichment analysis (CSEA) identifies a cluster-independent increase of follicular (TFH) cells potentially driving the known expansion of B lineage cells in the CSF in MS. In mice, TFH cells accordingly promote B cell infiltration into the CNS and the severity of MS animal models. Immune mechanisms in MS are thus highly compartmentalized and indicate ongoing local T/B cell interaction.

          Abstract

          Here the authors provide a single-cell characterization of cerebrospinal fluid and blood of newly diagnosed multiple sclerosis (MS) patients, revealing altered composition of lymphocyte and monocyte subsets, validated by other methods including the interrogation of the TFH subset in mouse models of MS.

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          Most cited references39

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          A critical role for Dnmt1 and DNA methylation in T cell development, function, and survival.

          The role of DNA methylation and of the maintenance DNA methyltransferase Dnmt1 in the epigenetic regulation of developmental stage- and cell lineage-specific gene expression in vivo is uncertain. This is addressed here through the generation of mice in which Dnmt1 was inactivated by Cre/loxP-mediated deletion at sequential stages of T cell development. Deletion of Dnmt1 in early double-negative thymocytes led to impaired survival of TCRalphabeta(+) cells and the generation of atypical CD8(+)TCRgammadelta(+) cells. Deletion of Dnmt1 in double-positive thymocytes impaired activation-induced proliferation but differentially enhanced cytokine mRNA expression by naive peripheral T cells. We conclude that Dnmt1 and DNA methylation are required for the proper expression of certain genes that define fate and determine function in T cells.
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            Dynamic regulatory network controlling Th17 cell differentiation

            Despite their importance, the molecular circuits that control the differentiation of naïve T cells remain largely unknown. Recent studies that reconstructed regulatory networks in mammalian cells have focused on short-term responses and relied on perturbation-based approaches that cannot be readily applied to primary T cells. Here, we combine transcriptional profiling at high temporal resolution, novel computational algorithms, and innovative nanowire-based tools for performing perturbations in primary T cells to systematically derive and experimentally validate a model of the dynamic regulatory network that controls Th17 differentiation. The network consists of two self-reinforcing, but mutually antagonistic, modules, with 12 novel regulators, whose coupled action may be essential for maintaining the balance between Th17 and other CD4+ T cell subsets. Overall, our study identifies and validates 39 regulatory factors, embeds them within a comprehensive temporal network and reveals its organizational principles, and highlights novel drug targets for controlling Th17 differentiation.
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              Single-Cell Genomics Unveils Critical Regulators of Th17 Cell Pathogenicity.

              Extensive cellular heterogeneity exists within specific immune-cell subtypes classified as a single lineage, but its molecular underpinnings are rarely characterized at a genomic scale. Here, we use single-cell RNA-seq to investigate the molecular mechanisms governing heterogeneity and pathogenicity of Th17 cells isolated from the central nervous system (CNS) and lymph nodes (LN) at the peak of autoimmune encephalomyelitis (EAE) or differentiated in vitro under either pathogenic or non-pathogenic polarization conditions. Computational analysis relates a spectrum of cellular states in vivo to in-vitro-differentiated Th17 cells and unveils genes governing pathogenicity and disease susceptibility. Using knockout mice, we validate four new genes: Gpr65, Plzp, Toso, and Cd5l (in a companion paper). Cellular heterogeneity thus informs Th17 function in autoimmunity and can identify targets for selective suppression of pathogenic Th17 cells while potentially sparing non-pathogenic tissue-protective ones.
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                Author and article information

                Contributors
                niryosef@berkeley.edu
                gerd.meyerzuhoerste@ukmuenster.de
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                14 January 2020
                14 January 2020
                2020
                : 11
                : 247
                Affiliations
                [1 ]ISNI 0000 0004 0551 4246, GRID grid.16149.3b, Department of Neurology with Institute of Translational Neurology, , University Hospital Münster, ; Münster, Germany
                [2 ]ISNI 0000 0001 2181 7878, GRID grid.47840.3f, Department of Electrical Engineering & Computer Science, Center for Computational Biology, , University of California, ; Berkeley, CA USA
                [3 ]ISNI 0000 0001 2181 7878, GRID grid.47840.3f, Department of Physics, , University of California, ; Berkeley, CA USA
                [4 ]ISNI 0000 0004 0551 4246, GRID grid.16149.3b, Institute of Neuropathology, , University Hospital Münster, ; Münster, Germany
                [5 ]ISNI 0000 0001 2341 2786, GRID grid.116068.8, Ragon Institute of MGH, , MIT and Harvard, ; Cambridge, MA USA
                [6 ]Chan Zuckerberg Biohub, San Francisco, CA 94158 USA
                Author information
                http://orcid.org/0000-0001-9610-7627
                http://orcid.org/0000-0002-5026-1714
                http://orcid.org/0000-0003-3855-4706
                http://orcid.org/0000-0002-9568-2790
                http://orcid.org/0000-0003-2571-3501
                http://orcid.org/0000-0002-0174-5042
                http://orcid.org/0000-0002-4872-9189
                http://orcid.org/0000-0001-9004-1225
                http://orcid.org/0000-0002-4341-4719
                Article
                14118
                10.1038/s41467-019-14118-w
                6959356
                31937773
                483d93e3-b09a-40ec-90a0-d4589683c8c5
                © 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
                : 23 April 2019
                : 12 December 2019
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                autoimmunity,follicular t-helper cells,biomarkers,multiple sclerosis
                Uncategorized
                autoimmunity, follicular t-helper cells, biomarkers, multiple sclerosis

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