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      Epigenome-wide DNA methylation profiling in Progressive Supranuclear Palsy reveals major changes at DLX1

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          Abstract

          Genetic, epigenetic, and environmental factors contribute to the multifactorial disorder progressive supranuclear palsy (PSP). Here, we study epigenetic changes by genome-wide analysis of DNA from postmortem tissue of forebrains of patients and controls and detect significant ( P < 0.05) methylation differences at 717 CpG sites in PSP vs. controls. Four-hundred fifty-one of these sites are associated with protein-coding genes. While differential methylation only affects a few sites in most genes, DLX1 is hypermethylated at multiple sites. Expression of an antisense transcript of DLX1, DLX1AS, is reduced in PSP brains. The amount of DLX1 protein is increased in gray matter of PSP forebrains. Pathway analysis suggests that DLX1 influences MAPT-encoded Tau protein. In a cell system, overexpression of DLX1 results in downregulation of MAPT while overexpression of DLX1AS causes upregulation of MAPT. Our observations suggest that altered DLX1 methylation and expression contribute to pathogenesis of PSP by influencing MAPT.

          Abstract

          Progressive supranuclear palsy (PSP) is a neurodegenerative disease characterized by aggregation of Tau, encoded by MAPT. Here, the authors perform an EWAS for PSP in prefrontal lobe tissue and find hypermethylation of DLX1 and its antisense transcript DLX1AS to associate with MAPT expression.

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          Most cited references40

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Clinical diagnosis of progressive supranuclear palsy: The movement disorder society criteria.

            PSP is a neuropathologically defined disease entity. Clinical diagnostic criteria, published in 1996 by the National Institute of Neurological Disorders and Stroke/Society for PSP, have excellent specificity, but their sensitivity is limited for variant PSP syndromes with presentations other than Richardson's syndrome.
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              Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi

              Summary: The minfi package is widely used for analyzing Illumina DNA methylation array data. Here we describe modifications to the minfi package required to support the HumanMethylationEPIC (‘EPIC’) array from Illumina. We discuss methods for the joint analysis and normalization of data from the HumanMethylation450 (‘450k’) and EPIC platforms. We introduce the single-sample Noob (ssNoob) method, a normalization procedure suitable for incremental preprocessing of individual methylation arrays and conclude that this method should be used when integrating data from multiple generations of Infinium methylation arrays. We show how to use reference 450k datasets to estimate cell type composition of samples on EPIC arrays. The cumulative effect of these updates is to ensure that minfi provides the tools to best integrate existing and forthcoming Illumina methylation array data. Availability and Implementation: The minfi package version 1.19.12 or higher is available for all platforms from the Bioconductor project. Contact: khansen@jhsph.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
                axel.weber@humangenetik.med.uni-giessen.de
                Guenter.Hoeglinger@dzne.de
                Ulrich.mueller@med.uni-giessen.de
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                26 July 2018
                26 July 2018
                2018
                : 9
                : 2929
                Affiliations
                [1 ]ISNI 0000 0001 2165 8627, GRID grid.8664.c, Institute of Human Genetics, , Justus-Liebig-Universität, ; Gießen, 35392 Germany
                [2 ]ISNI 0000000123222966, GRID grid.6936.a, Department of Neurology, , Technische Universität München, ; Munich, 81377 Germany
                [3 ]ISNI 0000 0004 0438 0426, GRID grid.424247.3, German Center for Neurodegenerative Diseases (DZNE), ; Munich, 81377 Germany
                [4 ]Laboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, CEA—Institut de Biologie Francois Jacob, Evry, 91000 France
                [5 ]ISNI 0000 0004 0483 2525, GRID grid.4567.0, Institute of Developmental Genetics, , Helmholtz Center München, ; Munich, 85764 Germany
                [6 ]ISNI 0000 0004 0443 9942, GRID grid.417467.7, Department of Neuroscience, , Mayo Clinic, ; Jacksonville, FL 32224 USA
                [7 ]ISNI 0000 0000 8786 803X, GRID grid.15090.3d, Department of Neurodegenerative Diseases and Geriatric Psychiatry, , University of Bonn Medical Center, ; Bonn, 53127 Germany
                [8 ]ISNI 0000 0001 2165 8627, GRID grid.8664.c, Institute of Medical Informatics, , Justus-Liebig-Universität, ; Gießen, 35392 Germany
                [9 ]ISNI 0000 0004 1936 973X, GRID grid.5252.0, Department of Psychiatry, , Ludwig-Maximilians-Universität, ; Munich, 81377 Germany
                [10 ]ISNI 0000 0004 1936 973X, GRID grid.5252.0, Center for Neuropathology and Prion Research, , Ludwig-Maximilians-Universität, ; Munich, 81377 Germany
                [11 ]Alfred Anatomical Pathology and NNF, Victorian Brain Bank, Carlton, VIC 3053 Australia
                [12 ]ISNI 000000040459992X, GRID grid.5645.2, Department of Neurology, , Erasmus Medical Centre, ; Rotterdam, 3000 The Netherlands
                [13 ]ISNI 0000000123222966, GRID grid.6936.a, Chair of Developmental Genetics, , Technische Universität München-Weihenstephan, ; Neuherberg/Munich, 85764 Germany
                [14 ]GRID grid.452617.3, Munich Cluster for Systems Neurology (SyNergy), ; Munich, 81377 Germany
                [15 ]ISNI 0000 0004 1936 9756, GRID grid.10253.35, Institute for Molecular Biology and Tumor Research, Center for Tumor Biology and Immunology, , Philipps University, ; Marburg, 35043 Germany
                Author information
                http://orcid.org/0000-0002-3884-2970
                http://orcid.org/0000-0002-2683-0817
                http://orcid.org/0000-0001-7189-7917
                http://orcid.org/0000-0001-7587-6187
                http://orcid.org/0000-0003-2412-9071
                Article
                5325
                10.1038/s41467-018-05325-y
                6062504
                30050033
                ebcc4f8c-2503-4455-b4d3-e70c7154e639
                © The Author(s) 2018

                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
                : 13 July 2017
                : 25 June 2018
                Funding
                Funded by: BMBF/ANR Grant #O1KU1403A/ ANR-13-EPIG-0003-05 EpiPD
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