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      RNA–RNA interactions between respiratory syncytial virus and miR-26 and miR-27 are associated with regulation of cell cycle and antiviral immunity

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          Abstract

          microRNAs (miRNAs) regulate nearly all physiological processes but our understanding of exactly how they function remains incomplete, particularly in the context of viral infections. Here, we adapt a biochemical method (CLEAR-CLIP) and analysis pipeline to identify targets of miRNAs in lung cells infected with Respiratory syncytial virus (RSV). We show that RSV binds directly to miR-26 and miR-27 through seed pairing and demonstrate that these miRNAs target distinct gene networks associated with cell cycle and metabolism (miR-27) and antiviral immunity (miR-26). Many of the targets are de-repressed upon infection and we show that the miR-27 targets most sensitive to miRNA inhibition are those associated with cell cycle. Finally, we demonstrate that high confidence chimeras map to long noncoding RNAs (lncRNAs) and pseudogenes in transcriptional regulatory regions. We validate that a proportion of miR-27 and Argonaute 2 (AGO2) is nuclear and identify a long non-coding RNA (lncRNA) as a miR-27 target that is linked to transcriptional regulation of nearby genes. This work expands the target networks of miR-26 and miR-27 to include direct interactions with RSV and lncRNAs and implicate these miRNAs in regulation of key genes that impact the viral life cycle associated with cell cycle, metabolism, and antiviral immunity.

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          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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            Trimmomatic: a flexible trimmer for Illumina sequence data

            Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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              Fiji: an open-source platform for biological-image analysis.

              Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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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
                22 May 2024
                27 February 2024
                27 February 2024
                : 52
                : 9
                : 4872-4888
                Affiliations
                Institute of Immunology & Infection Research, School of Biological Sciences, University of Edinburgh , Edinburgh EH9 3FL, UK
                Institute of Immunology & Infection Research, School of Biological Sciences, University of Edinburgh , Edinburgh EH9 3FL, UK
                Institute of Immunology & Infection Research, School of Biological Sciences, University of Edinburgh , Edinburgh EH9 3FL, UK
                Institute of Immunology & Infection Research, School of Biological Sciences, University of Edinburgh , Edinburgh EH9 3FL, UK
                Institute of Immunology & Infection Research, School of Biological Sciences, University of Edinburgh , Edinburgh EH9 3FL, UK
                Janssen Research & Development, Janssen Pharmaceutica NV , Turnhoutseweg 30, 2340 Beerse, Belgium
                Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh , Edinburgh EH9 3FL, UK
                Child Life and Health, Centre for Inflammation Research, Institute for Regeneration and Repair, University of Edinburgh , Edinburgh EH16 4TJ, UK
                Institute of Immunology & Infection Research, School of Biological Sciences, University of Edinburgh , Edinburgh EH9 3FL, UK
                Author notes
                To whom correspondence should be addressed. Tel: +44 131 651 3375; Email: a.buck@ 123456ed.ac.uk
                Author information
                https://orcid.org/0000-0001-8302-9893
                https://orcid.org/0000-0003-2645-7191
                Article
                gkae116
                10.1093/nar/gkae116
                11109944
                38412296
                a1ee125f-df3d-4839-9d07-22620cc13d20
                © The Author(s) 2024. 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-NonCommercial License ( https://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
                : 12 February 2024
                : 01 February 2024
                : 05 July 2023
                Page count
                Pages: 17
                Funding
                Funded by: Wellcome Trust, DOI 10.13039/100010269;
                Award ID: RCDF 201083/Z/16/Z
                Award ID: ISSF
                Funded by: Darwin Trust of Edinburgh, DOI 10.13039/501100022719;
                Funded by: Janssen Pharmaceuticals, Inc., DOI 10.13039/100008897;
                Categories
                AcademicSubjects/SCI00010
                Gene regulation, Chromatin and Epigenetics

                Genetics
                Genetics

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