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      MNDR v3.0: mammal ncRNA–disease repository with increased coverage and annotation

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          Abstract

          Many studies have indicated that non-coding RNA (ncRNA) dysfunction is closely related to numerous diseases. Recently, accumulated ncRNA–disease associations have made related databases insufficient to meet the demands of biomedical research. The constant updating of ncRNA–disease resources has become essential. Here, we have updated the mammal ncRNA–disease repository (MNDR, http://www.rna-society.org/mndr/) to version 3.0, containing more than one million entries, four-fold increment in data compared to the previous version. Experimental and predicted circRNA–disease associations have been integrated, increasing the number of categories of ncRNAs to five, and the number of mammalian species to 11. Moreover, ncRNA–disease related drug annotations and associations, as well as ncRNA subcellular localizations and interactions, were added. In addition, three ncRNA–disease (miRNA/lncRNA/circRNA) prediction tools were provided, and the website was also optimized, making it more practical and user-friendly. In summary, MNDR v3.0 will be a valuable resource for the investigation of disease mechanisms and clinical treatment strategies.

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          Most cited references55

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          miRBase: from microRNA sequences to function

          Abstract miRBase catalogs, names and distributes microRNA gene sequences. The latest release of miRBase (v22) contains microRNA sequences from 271 organisms: 38 589 hairpin precursors and 48 860 mature microRNAs. We describe improvements to the database and website to provide more information about the quality of microRNA gene annotations, and the cellular functions of their products. We have collected 1493 small RNA deep sequencing datasets and mapped a total of 5.5 billion reads to microRNA sequences. The read mapping patterns provide strong support for the validity of between 20% and 65% of microRNA annotations in different well-studied animal genomes, and evidence for the removal of >200 sequences from the database. To improve the availability of microRNA functional information, we are disseminating Gene Ontology terms annotated against miRBase sequences. We have also used a text-mining approach to search for microRNA gene names in the full-text of open access articles. Over 500 000 sentences from 18 542 papers contain microRNA names. We score these sentences for functional information and link them with 12 519 microRNA entries. The sentences themselves, and word clouds built from them, provide effective summaries of the functional information about specific microRNAs. miRBase is publicly and freely available at http://mirbase.org/.
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            Non-coding RNAs in human disease.

            The relevance of the non-coding genome to human disease has mainly been studied in the context of the widespread disruption of microRNA (miRNA) expression and function that is seen in human cancer. However, we are only beginning to understand the nature and extent of the involvement of non-coding RNAs (ncRNAs) in disease. Other ncRNAs, such as PIWI-interacting RNAs (piRNAs), small nucleolar RNAs (snoRNAs), transcribed ultraconserved regions (T-UCRs) and large intergenic non-coding RNAs (lincRNAs) are emerging as key elements of cellular homeostasis. Along with microRNAs, dysregulation of these ncRNAs is being found to have relevance not only to tumorigenesis, but also to neurological, cardiovascular, developmental and other diseases. There is great interest in therapeutic strategies to counteract these perturbations of ncRNAs.
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              Ensembl 2020

              Abstract The Ensembl (https://www.ensembl.org) is a system for generating and distributing genome annotation such as genes, variation, regulation and comparative genomics across the vertebrate subphylum and key model organisms. The Ensembl annotation pipeline is capable of integrating experimental and reference data from multiple providers into a single integrated resource. Here, we present 94 newly annotated and re-annotated genomes, bringing the total number of genomes offered by Ensembl to 227. This represents the single largest expansion of the resource since its inception. We also detail our continued efforts to improve human annotation, developments in our epigenome analysis and display, a new tool for imputing causal genes from genome-wide association studies and visualisation of variation within a 3D protein model. Finally, we present information on our new website. Both software and data are made available without restriction via our website, online tools platform and programmatic interfaces (available under an Apache 2.0 license) and data updates made available four times a year.
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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                08 January 2021
                24 August 2020
                24 August 2020
                : 49
                : D1
                : D160-D164
                Affiliations
                Dermatology Hospital, Southern Medical University , Guangzhou 510091, China
                Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University , Guangzhou 510515, China
                Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University , Guangzhou 510515, China
                Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University , Guangzhou 510515, China
                Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University , Guangzhou 510515, China
                Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University , Guangzhou 510515, China
                Qingyuan People's Hospital, The Sixth Affiliated Hospital of Guangzhou Medical University , B24 Yinquan South Road, Qingyuan 511518, Guangdong Province, People's Republic of China
                Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital)
                Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University , Guangzhou 510515, China
                Dermatology Hospital, Southern Medical University , Guangzhou 510091, China
                Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University , Guangzhou 510515, China
                Center for Informational Biology, University of Electronic Science and Technology of China , Chengdu 611731, China
                Author notes
                To whom correspondence should be addressed. Tel: +86 20 61648165; Fax: +86 20 61648165; Email: wangdong79@ 123456smu.edu.cn wangdong@ 123456ems.hrbmu.edu.cn

                The authors wish it to be known that, in their opinion, the first five authors should be regarded as Joint First Authors.

                Author information
                http://orcid.org/0000-0001-7949-5285
                Article
                gkaa707
                10.1093/nar/gkaa707
                7779040
                32833025
                855c319c-40aa-49c1-8be3-9ec406f89dc1
                © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 14 August 2020
                : 12 August 2020
                : 27 July 2020
                Page count
                Pages: 5
                Funding
                Funded by: National Key Research and Development Program of China, DOI 10.13039/501100012166;
                Award ID: 2019YFA0801800
                Funded by: National Natural Science Foundation of China, DOI 10.13039/501100001809;
                Award ID: 81770104
                Funded by: Basic and Applied Basic Research Fund of Guangdong Province;
                Award ID: 2019A1515010784
                Award ID: 2019A1515110701
                Categories
                AcademicSubjects/SCI00010
                Database Issue

                Genetics
                Genetics

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