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      The SLE Transcriptome Exhibits Evidence of Chronic Endotoxin Exposure and Has Widespread Dysregulation of Non-Coding and Coding RNAs

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          Abstract

          Background

          Gene expression studies of peripheral blood mononuclear cells from patients with systemic lupus erythematosus (SLE) have demonstrated a type I interferon signature and increased expression of inflammatory cytokine genes. Studies of patients with Aicardi Goutières syndrome, commonly cited as a single gene model for SLE, have suggested that accumulation of non-coding RNAs may drive some of the pathologic gene expression, however, no RNA sequencing studies of SLE patients have been performed. This study was designed to define altered expression of coding and non-coding RNAs and to detect globally altered RNA processing in SLE.

          Methods

          Purified monocytes from eight healthy age/gender matched controls and nine SLE patients (with low-moderate disease activity and lack of biologic drug use or immune suppressive treatment) were studied using RNA-seq. Quantitative RT-PCR was used to validate findings. Serum levels of endotoxin were measured by ELISA.

          Results

          We found that SLE patients had diminished expression of most endogenous retroviruses and small nucleolar RNAs, but exhibited increased expression of pri-miRNAs. Splicing patterns and polyadenylation were significantly altered. In addition, SLE monocytes expressed novel transcripts, an effect that was replicated by LPS treatment of control monocytes. We further identified increased circulating endotoxin in SLE patients.

          Conclusions

          Monocytes from SLE patients exhibit globally dysregulated gene expression. The transcriptome is not simply altered by the transcriptional activation of a set of genes, but is qualitatively different in SLE. The identification of novel loci, inducible by LPS, suggests that chronic microbial translocation could contribute to the immunologic dysregulation in SLE, a new potential disease mechanism.

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          Most cited references63

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          DAVID: Database for Annotation, Visualization, and Integrated Discovery.

          Functional annotation of differentially expressed genes is a necessary and critical step in the analysis of microarray data. The distributed nature of biological knowledge frequently requires researchers to navigate through numerous web-accessible databases gathering information one gene at a time. A more judicious approach is to provide query-based access to an integrated database that disseminates biologically rich information across large datasets and displays graphic summaries of functional information. Database for Annotation, Visualization, and Integrated Discovery (DAVID; http://www.david.niaid.nih.gov) addresses this need via four web-based analysis modules: 1) Annotation Tool - rapidly appends descriptive data from several public databases to lists of genes; 2) GoCharts - assigns genes to Gene Ontology functional categories based on user selected classifications and term specificity level; 3) KeggCharts - assigns genes to KEGG metabolic processes and enables users to view genes in the context of biochemical pathway maps; and 4) DomainCharts - groups genes according to PFAM conserved protein domains. Analysis results and graphical displays remain dynamically linked to primary data and external data repositories, thereby furnishing in-depth as well as broad-based data coverage. The functionality provided by DAVID accelerates the analysis of genome-scale datasets by facilitating the transition from data collection to biological meaning.
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            Type I interferon in systemic lupus erythematosus and other autoimmune diseases.

            Different genetic alterations may lead to type I interferon (IFN) overproduction in human systemic lupus erythematosus (SLE). The increased bioavailability of type I IFN contributes to peripheral tolerance breakdown through the activation of immature myeloid dendritic cells (mDCs). IFN-matured mDCs activate autoreactive T cells. These cells, together with plasmacytoid DCs, help expand autoreactive B cells. IFN-matured DCs also activate cytotoxic CD8+ T cells, possibly increasing apoptotic cell availability. The capture of apoptotic cells by mDCs and of nucleic acid-containing immune complexes by plasmacytoid DCs and B cells amplifies the autoimmune reaction leading to disease manifestations. Genetic alterations in lineages other than B cells might explain other autoimmune syndromes where type I IFNs appear to be involved.
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              Induction of dendritic cell differentiation by IFN-alpha in systemic lupus erythematosus.

              Dendritic cells (DCs) are important in regulating both immunity and tolerance. Hence, we hypothesized that systemic lupus erythematosus (SLE), an autoimmune disease characterized by autoreactive B and T cells, may be caused by alterations in the functions of DCs. Consistent with this, monocytes from SLE patients' blood were found to function as antigen-presenting cells, in vitro. Furthermore, serum from SLE patients induced normal monocytes to differentiate into DCs. These DCs could capture antigens from dying cells and present them to CD4-positive T cells. The capacity of SLE patients' serum to induce DC differentiation correlated with disease activity and depended on the actions of interferon-alpha (IFN-alpha). Thus, unabated induction of DCs by IFN-alpha may drive the autoimmune response in SLE.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                5 May 2014
                : 9
                : 5
                : e93846
                Affiliations
                [1 ]The Division of Allergy Immunology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
                [2 ]The Center for Biomedical Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
                [3 ]Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey, United States of America
                [4 ]Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
                National Cancer Institute, National Institutes of Health, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: KS. Performed the experiments: L. Shi KM L. Song. Analyzed the data: ZZ AY EA WW ZW PCR. Contributed reagents/materials/analysis tools: MP. Wrote the paper: KS.

                Article
                PONE-D-13-43552
                10.1371/journal.pone.0093846
                4010412
                24796678
                acb5df5a-ed84-4742-995e-956e71f51198
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 23 October 2013
                : 7 March 2014
                Page count
                Pages: 13
                Funding
                This work was supported by NIH Grant# 5R01AR058547-05 ( www.nih.gov). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and life sciences
                Biochemistry
                RNA
                RNA processing
                Cell Biology
                Cellular Types
                Animal Cells
                Blood Cells
                White Blood Cells
                Monocytes
                Immune Cells
                Molecular Cell Biology
                Computational Biology
                Genome Analysis
                Transcriptome Analysis
                Genome Expression Analysis
                Genetics
                Gene Expression
                Genomics
                Immunology
                Clinical Immunology
                Autoimmune Diseases
                Lupus Erythematosus
                Medicine and Health Sciences
                Cardiology
                Cardiovascular Diseases
                Cardiovascular Diseases in Women
                Infectious Diseases
                Bacterial Diseases
                Rheumatology
                Women's Health

                Uncategorized
                Uncategorized

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