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      A pathogenic and clonally expanded B cell transcriptome in active multiple sclerosis

      research-article
      a , b , a , b , a , b , a , b , a , b , a , b , c , a , b , a , b , a , b , a , b , a , b , University of California, San Francisco MS-EPIC Team 3 , a , b , a , b , a , b , d , e , a , b , a , b , a , b , f , a , b , a , b , a , b , 4
      Proceedings of the National Academy of Sciences of the United States of America
      National Academy of Sciences
      multiple sclerosis, neuroimmunology, B cell, immune repertoire

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          Significance

          B cells serve as a key weapon against infectious diseases. They also contribute to multiple autoimmune diseases, including multiple sclerosis (MS) where depletion of B cells is a highly effective therapy. We describe a comprehensive profile of central nervous system (CNS)-specific transcriptional B cell phenotypes in MS at single-cell resolution with paired immune repertoires. We reveal a polyclonal immunoglobulin M (IgM) and IgG1 cerebrospinal fluid B cell expansion polarized toward an inflammatory, memory and plasmablast/plasma cell phenotype, with differential up-regulation of specific proinflammatory pathways. We did not find evidence that CNS B cells harbor a neurotropic virus. These data support the targeting of activated resident B cells in the CNS as a potentially effective strategy for control of treatment-resistant chronic disease.

          Abstract

          Central nervous system B cells have several potential roles in multiple sclerosis (MS): secretors of proinflammatory cytokines and chemokines, presenters of autoantigens to T cells, producers of pathogenic antibodies, and reservoirs for viruses that trigger demyelination. To interrogate these roles, single-cell RNA sequencing (scRNA-Seq) was performed on paired cerebrospinal fluid (CSF) and blood from subjects with relapsing-remitting MS (RRMS; n = 12), other neurologic diseases (ONDs; n = 1), and healthy controls (HCs; n = 3). Single-cell immunoglobulin sequencing (scIg-Seq) was performed on a subset of these subjects and additional RRMS ( n = 4), clinically isolated syndrome ( n = 2), and OND ( n = 2) subjects. Further, paired CSF and blood B cell subsets (RRMS; n = 7) were isolated using fluorescence activated cell sorting for bulk RNA sequencing (RNA-Seq). Independent analyses across technologies demonstrated that nuclear factor kappa B (NF-κB) and cholesterol biosynthesis pathways were activated, and specific cytokine and chemokine receptors were up-regulated in CSF memory B cells. Further, SMAD/TGF-β1 signaling was down-regulated in CSF plasmablasts/plasma cells. Clonally expanded, somatically hypermutated IgM+ and IgG1+ CSF B cells were associated with inflammation, blood–brain barrier breakdown, and intrathecal Ig synthesis. While we identified memory B cells and plasmablast/plasma cells with highly similar Ig heavy-chain sequences across MS subjects, similarities were also identified with ONDs and HCs. No viral transcripts, including from Epstein–Barr virus, were detected. Our findings support the hypothesis that in MS, CSF B cells are driven to an inflammatory and clonally expanded memory and plasmablast/plasma cell phenotype.

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          Most cited references55

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          Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage

          Tissue fibrosis is a major cause of mortality that results from the deposition of matrix proteins by an activated mesenchyme. Macrophages accumulate in fibrosis, but the role of specific subgroups in supporting fibrogenesis has not been investigated in vivo. Here we used single-cell RNA sequencing (scRNA-seq) to characterize the heterogeneity of macrophages in bleomycin-induced lung fibrosis in mice. A novel computational framework for the annotation of scRNA-seq by reference to bulk transcriptomes (SingleR) enabled the subclustering of macrophages and revealed a disease-associated subgroup with a transitional gene expression profile intermediate between monocyte-derived and alveolar macrophages. These CX3CR1+SiglecF+ transitional macrophages localized to the fibrotic niche and had a profibrotic effect in vivo. Human orthologues of genes expressed by the transitional macrophages were upregulated in samples from patients with idiopathic pulmonary fibrosis. Thus, we have identified a pathological subgroup of transitional macrophages that are required for the fibrotic response to injury.
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            DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors

            Single-cell RNA sequencing (scRNA-seq) data are commonly affected by technical artifacts known as “doublets,” which limit cell throughput and lead to spurious biological conclusions. Here, we present a computational doublet detection tool—Doublet-Finder—that identifies doublets using only gene expression data. DoubletFinder predicts doublets according to each real cell’s proximity in gene expression space to artificial doublets created by averaging the transcriptional profile of randomly chosen cell pairs. We first use scRNA-seq datasets where the identity of doublets is known to show that DoubletFinder identifies doublets formed from transcriptionally distinct cells. When these doublets are removed, the identification of differentially expressed genes is enhanced. Second, we provide a method for estimating DoubletFinder input parameters, allowing its application across scRNA-seq datasets with diverse distributions of cell types. Lastly, we present “best practices” for DoubletFinder applications and illustrate that DoubletFinder is insensitive to an experimentally validated kidney cell type with “hybrid” expression features. scRNA-seq data interpretation is confounded by technical artifacts known as doublets—single-cell transcriptome data representing more than one cell. Moreover, scRNA-seq cellular throughput is purposefully limited to minimize doublet formation rates. By identifying cells sharing expression features with simulated doublets, DoubletFinder detects many real doublets and mitigates these two limitations.
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              Environmental risk factors for multiple sclerosis. Part I: the role of infection.

              Although genetic susceptibility explains the clustering of multiple sclerosis (MS) cases within families and the sharp decline in risk with increasing genetic distance, it cannot fully explain the geographic variations in MS frequency and the changes in risk that occur with migration. Epidemiological data provide some support for the "hygiene hypothesis," but with the additional proviso for a key role of Epstein-Barr virus (EBV) in determining MS risk. We show that whereas EBV stands out as the only infectious agent that can explain many of the key features of MS epidemiology, by itself the link between EBV and MS cannot explain the decline in risk among migrants from high to low MS prevalence areas. This decline implies that either EBV strains in low-risk areas have less propensity to cause MS, or that other infectious or noninfectious factors modify the host response to EBV or otherwise contribute to determine MS risk. The role of infectious factors is discussed here; in a companion article, we will examine the possible role of noninfectious factors and provide evidence that high levels of vitamin D may have a protective role, particularly during adolescence. The primary purpose of these reviews is to identify clues to the causes of MS and to evaluate the possibility of primary prevention.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                15 September 2020
                28 August 2020
                28 August 2020
                : 117
                : 37
                : 22932-22943
                Affiliations
                [1] aWeill Institute for Neurosciences, University of California, San Francisco , CA 94158;
                [2] bDepartment of Neurology, University of California, San Francisco , CA 94158;
                [4] cDepartment of Mathematics, University of California, Los Angeles, CA 90095;
                [5] dChan Zuckerberg Biohub , San Francisco, CA 94158;
                [6] eDepartment of Biochemistry and Biophysics, University of California, San Francisco , CA 94158;
                [22] fProgram in Immunology, University of California , San Francisco, CA 94143
                Author notes
                4To whom correspondence may be addressed. Email: michael.wilson@ 123456ucsf.edu .

                Edited by Lawrence Steinman, Stanford University School of Medicine, Stanford, CA, and approved August 3, 2020 (received for review May 6, 2020)

                Author contributions: A.R., R.D.S., A.L.G., S.L.H., and M.R.W. designed research; A.R., R.D.S., A.L.G., R.L., J.J.S., M.T.K., E.B.T., K. Koshal, K. Kim, A.-K.P., D.B., U.o.C.S.F.M.E.T., C.-Y.G., A.J.G., R.M.B., J.M.G., and B.A.C.C. performed research; R.D. contributed new reagents/analytic tools; A.R., R.D.S., A.L.G., R.D., R.L., J.J.S., M.T.K., A.-K.P., J.L.D., B.A.C.C., S.S.Z., S.E.B., S.L.H., and M.R.W. analyzed data; and A.R., R.D.S., S.L.H., and M.R.W. wrote the paper.

                1A.R. and R.D.S. contributed equally to this work.

                2A.L.G. and R.D. contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-3132-5831
                https://orcid.org/0000-0001-9970-5112
                https://orcid.org/0000-0002-6804-7441
                https://orcid.org/0000-0002-0612-0738
                https://orcid.org/0000-0003-3667-9900
                https://orcid.org/0000-0002-2034-8800
                https://orcid.org/0000-0003-2720-9915
                https://orcid.org/0000-0003-0067-194X
                https://orcid.org/0000-0002-4932-4001
                https://orcid.org/0000-0002-8705-5084
                Article
                202008523
                10.1073/pnas.2008523117
                7502747
                32859762
                c0426dc3-2a54-48cf-b500-a8affcf51033
                Copyright © 2020 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 12
                Funding
                Funded by: HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) 100000060
                Award ID: R21AI142186
                Award Recipient : Ravi Dandekar Award Recipient : Joseph J. Sabatino, Jr. Award Recipient : Scott S. Zamvil Award Recipient : Michael R Wilson
                Funded by: HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 100000065
                Award ID: R01NS092835
                Award Recipient : Akshaya Ramesh Award Recipient : Joseph J. Sabatino, Jr. Award Recipient : Scott S. Zamvil Award Recipient : Stephen L. Hauser Award Recipient : Michael R Wilson
                Funded by: HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 100000065
                Award ID: R35NS111644
                Award Recipient : Akshaya Ramesh Award Recipient : Joseph J. Sabatino, Jr. Award Recipient : Scott S. Zamvil Award Recipient : Stephen L. Hauser Award Recipient : Michael R Wilson
                Funded by: National Multiple Sclerosis Society (National MS Society) 100000890
                Award ID: FAN-1608-25607
                Award Recipient : Ryan D. Schubert Award Recipient : Ariele Lauren Greenfield Award Recipient : Joseph J. Sabatino, Jr. Award Recipient : Anne-Katrin Pröbstel
                Funded by: American Brain Foundation (ABF) 100005331
                Award ID: FAN-1608-25607
                Award Recipient : Ryan D. Schubert
                Funded by: HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 100000065
                Award ID: K08NS107619
                Award Recipient : Akshaya Ramesh Award Recipient : Joseph J. Sabatino, Jr. Award Recipient : Scott S. Zamvil Award Recipient : Stephen L. Hauser Award Recipient : Michael R Wilson
                Funded by: National Multiple Sclerosis Society (National MS Society) 100000890
                Award ID: TA-1903-33713
                Award Recipient : Ryan D. Schubert Award Recipient : Ariele Lauren Greenfield Award Recipient : Joseph J. Sabatino, Jr. Award Recipient : Anne-Katrin Pröbstel
                Funded by: Race to Erase MS
                Award ID: Young Investigator Award
                Award Recipient : Joseph J. Sabatino, Jr. Award Recipient : Anne-Katrin Pröbstel
                Funded by: Swiss National Science Foundation
                Award ID: P2SKP3_164938/1
                Award Recipient : Joseph J. Sabatino, Jr. Award Recipient : Anne-Katrin Pröbstel
                Funded by: Swiss National Science Foundation
                Award ID: P300PB_177927/1
                Award Recipient : Joseph J. Sabatino, Jr. Award Recipient : Anne-Katrin Pröbstel
                Funded by: National Multiple Sclerosis Society (National MS Society) 100000890
                Award ID: FG-1708-28871
                Award Recipient : Ryan D. Schubert Award Recipient : Ariele Lauren Greenfield Award Recipient : Joseph J. Sabatino, Jr. Award Recipient : Anne-Katrin Pröbstel
                Funded by: National Multiple Sclerosis Society (National MS Society) 100000890
                Award ID: FAN-1507-05479
                Award Recipient : Ryan D. Schubert Award Recipient : Ariele Lauren Greenfield Award Recipient : Joseph J. Sabatino, Jr. Award Recipient : Anne-Katrin Pröbstel
                Categories
                Biological Sciences
                Immunology and Inflammation

                multiple sclerosis,neuroimmunology,b cell,immune repertoire

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