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      Regulation of RNA editing by RNA-binding proteins in human cells

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          Abstract

          Adenosine-to-inosine (A-to-I) editing, mediated by the ADAR enzymes, diversifies the transcriptome by altering RNA sequences. Recent studies reported global changes in RNA editing in disease and development. Such widespread editing variations necessitate an improved understanding of the regulatory mechanisms of RNA editing. Here, we study the roles of >200 RNA-binding proteins (RBPs) in mediating RNA editing in two human cell lines. Using RNA-sequencing and global protein-RNA binding data, we identify a number of RBPs as key regulators of A-to-I editing. These RBPs, such as TDP-43, DROSHA, NF45/90 and Ro60, mediate editing through various mechanisms including regulation of ADAR1 expression, interaction with ADAR1, and binding to Alu elements. We highlight that editing regulation by Ro60 is consistent with the global up-regulation of RNA editing in systemic lupus erythematosus. Additionally, most key editing regulators act in a cell type-specific manner. Together, our work provides insights for the regulatory mechanisms of RNA editing.

          Abstract

          Giovanni Quinones-Valdez et al. examined the role of over 200 RNA-binding proteins in mediating A-to-I RNA editing. They identified several RNA-binding proteins that regulate ADAR1 expression, interaction, or binding with Alu elements in a cell type-specific manner.

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

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            RADAR: a rigorously annotated database of A-to-I RNA editing

            We present RADAR—a rigorously annotated database of A-to-I RNA editing (available at http://RNAedit.com). The identification of A-to-I RNA editing sites has been dramatically accelerated in the past few years by high-throughput RNA sequencing studies. RADAR includes a comprehensive collection of A-to-I RNA editing sites identified in humans (Homo sapiens), mice (Mus musculus) and flies (Drosophila melanogaster), together with extensive manually curated annotations for each editing site. RADAR also includes an expandable listing of tissue-specific editing levels for each editing site, which will facilitate the assignment of biological functions to specific editing sites.
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              ADAR1 forms a complex with Dicer to promote microRNA processing and RNA-induced gene silencing.

              Adenosine deaminases acting on RNA (ADARs) are involved in RNA editing that converts adenosine residues to inosine specifically in double-stranded RNAs. In this study, we investigated the interaction of the RNA editing mechanism with the RNA interference (RNAi) machinery and found that ADAR1 forms a complex with Dicer through direct protein-protein interaction. Most importantly, ADAR1 increases the maximum rate (Vmax) of pre-microRNA (miRNA) cleavage by Dicer and facilitates loading of miRNA onto RNA-induced silencing complexes, identifying a new role of ADAR1 in miRNA processing and RNAi mechanisms. ADAR1 differentiates its functions in RNA editing and RNAi by the formation of either ADAR1/ADAR1 homodimer or Dicer/ADAR1 heterodimer complexes, respectively. As expected, the expression of miRNAs is globally inhibited in ADAR1(-/-) mouse embryos, which, in turn, alters the expression of their target genes and might contribute to their embryonic lethal phenotype. Copyright © 2013 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                gxxiao@ucla.edu
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                14 January 2019
                14 January 2019
                2019
                : 2
                : 19
                Affiliations
                [1 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, Department of Bioengineering, , University of California Los Angeles, ; Los Angeles, CA 90095 USA
                [2 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, Bioinformatics Interdepartmental Program, , University of California Los Angeles, ; Los Angeles, CA 90095 USA
                [3 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, Department of Integrative Biology and Physiology, , University of California Los Angeles, ; Los Angeles, CA 90095 USA
                [4 ]ISNI 0000000419370394, GRID grid.208078.5, Department of Genetics and Genome Sciences, Institute for Systems Genomics, , UConn Health, ; Farmington, CT 06030 USA
                [5 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Department of Cellular and Molecular Medicine, , University of California San Diego, ; La Jolla, CA 92093 USA
                [6 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Institute for Genomic Medicine, , University of California San Diego, ; La Jolla, CA 92093 USA
                [7 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Bioinformatics and Systems Biology Graduate Program, , University of California San Diego, ; La Jolla, CA 92093 USA
                [8 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, Molecular Biology Institute, , University of California Los Angeles, ; Los Angeles, CA 90095 USA
                [9 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, Institute for Quantitative and Computational Biology, , University of California Los Angeles, ; Los Angeles, CA 90095 USA
                Author information
                http://orcid.org/0000-0003-0962-8251
                http://orcid.org/0000-0002-9362-8029
                Article
                271
                10.1038/s42003-018-0271-8
                6331435
                30652130
                302d811f-f5e3-49c2-8f95-9b58dc7c0d61
                © The Author(s) 2019

                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
                : 2 July 2018
                : 13 December 2018
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000051, U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI);
                Award ID: T32HG002536
                Award ID: K99HG009530
                Award ID: U54HG007005
                Award ID: U54HG007005
                Award ID: T32HG002536
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000049, U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging);
                Award ID: R01AG056476
                Award Recipient :
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                © The Author(s) 2018

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