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      T Cell Post-Transcriptional miRNA-mRNA Interaction Networks Identify Targets Associated with Susceptibility/Resistance to Collagen-induced Arthritis

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          Abstract

          Background

          Due to recent studies indicating that the deregulation of microRNAs (miRNAs) in T cells contributes to increased severity of rheumatoid arthritis, we hypothesized that deregulated miRNAs may interact with key mRNA targets controlling the function or differentiation of these cells in this disease.

          Methodology/Principal Findings

          To test our hypothesis, we used microarrays to survey, for the first time, the expression of all known mouse miRNAs in parallel with genome-wide mRNAs in thymocytes and naïve and activated peripheral CD3 + T cells from two mouse strains the DBA-1/J strain (MHC-H2q), which is susceptible to collagen induced arthritis (CIA), and the DBA-2/J strain (MHC-H2d), which is resistant. Hierarchical clustering of data showed the several T cell miRNAs and mRNAs differentially expressed between the mouse strains in different stages of immunization with collagen. Bayesian statistics using the GenMir ++ algorithm allowed reconstruction of post-transcriptional miRNA-mRNA interaction networks for target prediction. We revealed the participation of miR-500, miR-202-3p and miR-30b*, which established interactions with at least one of the following mRNAs: Rorc, Fas, Fasl, Il-10 and Foxo3. Among the interactions that were validated by calculating the minimal free-energy of base pairing between the miRNA and the 3′UTR of the mRNA target and luciferase assay, we highlight the interaction of miR-30b *-Rorc mRNA because the mRNA encodes a protein implicated in pro-inflammatory Th17 cell differentiation (Rorγt). FACS analysis revealed that Rorγt protein levels and Th17 cell counts were comparatively reduced in the DBA-2/J strain.

          Conclusions/Significance

          This result showed that the miRNAs and mRNAs identified in this study represent new candidates regulating T cell function and controlling susceptibility and resistance to CIA.

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          Most cited references36

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          Cluster analysis and display of genome-wide expression patterns.

          A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression. The output is displayed graphically, conveying the clustering and the underlying expression data simultaneously in a form intuitive for biologists. We have found in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function, and we find a similar tendency in human data. Thus patterns seen in genome-wide expression experiments can be interpreted as indications of the status of cellular processes. Also, coexpression of genes of known function with poorly characterized or novel genes may provide a simple means of gaining leads to the functions of many genes for which information is not available currently.
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            microRNA target predictions in animals.

            In recent years, microRNAs (miRNAs) have emerged as a major class of regulatory genes, present in most metazoans and important for a diverse range of biological functions. Because experimental identification of miRNA targets is difficult, there has been an explosion of computational target predictions. Although the initial round of predictions resulted in very diverse results, subsequent computational and experimental analyses suggested that at least a certain class of conserved miRNA targets can be confidently predicted and that this class of targets is large, covering, for example, at least 30% of all human genes when considering about 60 conserved vertebrate miRNA gene families. Most recent approaches have also shown that there are correlations between domains of miRNA expression and mRNA levels of their targets. Our understanding of miRNA function is still extremely limited, but it may be that by integrating mRNA and miRNA sequence and expression data with other comparative genomic data, we will be able to gain global and yet specific insights into the function and evolution of a broad layer of post-transcriptional control.
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              Altered expression of MicroRNA in synovial fibroblasts and synovial tissue in rheumatoid arthritis.

              MicroRNAs (miRNA) have recently emerged as a new class of modulators of gene expression. In this study we investigated the expression, regulation, and function of miR-155 and miR-146a in rheumatoid arthritis (RA) synovial fibroblasts (RASFs) and RA synovial tissue. Locked nucleic acid microarray was used to screen for differentially expressed miRNA in RASFs treated with tumor necrosis factor alpha (TNFalpha). TaqMan-based real-time polymerase chain reaction was applied to measure the levels of miR-155 and miR-146a. Enforced overexpression of miR-155 was used to investigate the function of miR-155 in RASFs. Microarray analysis of miRNA expressed in RASFs treated with TNFalpha revealed a prominent up-regulation of miR-155. Constitutive expression of both miR-155 and miR-146a was higher in RASFs than in those from patients with osteoarthritis (OA), and expression of miR-155 could be further induced by TNFalpha, interleukin-1beta, lipopolysaccharide, poly(I-C), and bacterial lipoprotein. The expression of miR-155 in RA synovial tissue was higher than in OA synovial tissue. Enforced expression of miR-155 in RASFs was found to repress the levels of matrix metalloproteinase 3 (MMP-3) and reduce the induction of MMPs 3 and 1 by Toll-like receptor ligands and cytokines. Moreover, compared with monocytes from RA peripheral blood, RA synovial fluid monocytes displayed higher levels of miR-155. This study provides the first description of increased expression of miRNA miR-155 and miR-146a in RA. Based on these findings, we postulate that the inflammatory milieu may alter miRNA expression profiles in resident cells of the rheumatoid joints. Considering the repressive effect of miR-155 on the expression of MMPs 3 and 1 in RASFs, we hypothesize that miR-155 may be involved in modulation of the destructive properties of RASFs.
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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
                2013
                24 January 2013
                : 8
                : 1
                : e54803
                Affiliations
                [1 ]Molecular Immunogenetics Group, Department of Genetics, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
                [2 ]Inflammation and Pain Group, Department of Pharmacology, Faculty of Medicine of Ribeirão Preto, Ribeirão Preto, Brazil
                [3 ]Department of Biology, Faculty of Philosophy, Sciences and Letters of Ribeirão Preto, Ribeirão Preto, Brazil
                [4 ]Division of Clinical Immunology, Department of Medicine, Faculty of Medicine of Ribeirão Preto, Ribeirão Preto, Brazil
                [5 ]Disciplines of Genetics and Molecular Biology, Department of Morphology, Faculty of Dentistry of Ribeirão Preto, Ribeirão Preto, Brazil
                University of British Columbia, Canada
                Author notes

                Competing Interests: The authors declare that no competing interests exist.

                Conceived and designed the experiments: PBD TMC ETSH FQC EAD GAP. Performed the experiments: PBD TAF CM. Analyzed the data: PBD DCBN. Contributed reagents/materials/analysis tools: ETSH EAD FQC GAP. Wrote the paper: PBD GAP.

                Article
                PONE-D-12-11252
                10.1371/journal.pone.0054803
                3554629
                23359619
                5bf0918a-9fd8-4b2d-8dc9-e01652170111
                Copyright @ 2013

                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
                : 19 April 2012
                : 17 December 2012
                Page count
                Pages: 16
                Funding
                This study was supported by grants from Fundação de Amparo a Pesquisa do Estado de São Paulo (FAPESP) (grant number 08/56594-8), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Biochemistry
                Nucleic Acids
                RNA
                RNA interference
                Biophysics
                Nucleic Acids
                RNA
                RNA interference
                Genetics
                Epigenetics
                RNA interference
                Gene Expression
                RNA interference
                Genomics
                Functional Genomics
                Immunology
                Immune Cells
                T Cells
                Immunity
                Immune Tolerance
                Inflammation
                Autoimmunity
                Molecular Cell Biology
                Gene Expression
                RNA interference
                Nucleic Acids
                RNA
                RNA interference
                Medicine
                Clinical Immunology
                Autoimmune Diseases
                Rheumatoid Arthritis
                Immune Cells
                T Cells
                Rheumatology
                Rheumatoid Arthritis
                Physics
                Biophysics
                Nucleic Acids
                RNA
                RNA interference

                Uncategorized
                Uncategorized

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