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      Reduced protein-coding transcript diversity in severe dengue emphasises the role of alternative splicing

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          Abstract

          Transcriptomic analysis of dengue-infected patients reveals altered immune response pathways, transcript diversity, and splicing efficiency, underscoring potential therapeutic targets for treatment.

          Abstract

          Dengue fever, a neglected tropical arboviral disease, has emerged as a global health concern in the past decade. Necessitating a nuanced comprehension of the intricate dynamics of host–virus interactions influencing disease severity, we analysed transcriptomic patterns using bulk RNA-seq from 112 age- and gender-matched NS1 antigen–confirmed hospital-admitted dengue patients with varying severity. Severe cases exhibited reduced platelet count, increased lymphocytosis, and neutropenia, indicating a dysregulated immune response. Using bulk RNA-seq, our analysis revealed a minimal overlap between the differentially expressed gene and transcript isoform, with a distinct expression pattern across the disease severity. Severe patients showed enrichment in retained intron and nonsense-mediated decay transcript biotypes, suggesting altered splicing efficiency. Furthermore, an up-regulated programmed cell death, a haemolytic response, and an impaired interferon and antiviral response at the transcript level were observed. We also identified the potential involvement of the RBM39 gene among others in the innate immune response during dengue viral pathogenesis, warranting further investigation. These findings provide valuable insights into potential therapeutic targets, underscoring the importance of exploring transcriptomic landscapes between different disease sub-phenotypes in infectious diseases.

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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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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              The Sequence Alignment/Map format and SAMtools

              Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: VisualizationRole: MethodologyRole: Writing—original draft
                Role: InvestigationRole: Writing—original draftRole: Literature Review
                Role: InvestigationRole: Writing—original draftRole: Literature Review
                Role: InvestigationRole: Writing—original draft
                Role: Formal analysisRole: Visualization
                Role: InvestigationRole: Writing—original draft
                Role: ResourcesRole: Writing—review and editing
                Role: ResourcesRole: Writing—review and editing
                Role: ConceptualizationRole: SupervisionRole: Funding acquisitionRole: Project administrationRole: Writing—review and editing
                Journal
                Life Sci Alliance
                Life Sci Alliance
                lsa
                lsa
                Life Science Alliance
                Life Science Alliance LLC
                2575-1077
                3 June 2024
                August 2024
                3 June 2024
                : 7
                : 8
                : e202402683
                Affiliations
                [1 ]Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology ( https://ror.org/05ef28661) (CSIR-IGIB), Delhi, India;
                [2 ] Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India;
                [3 ]Max Super Speciality Hospital ( https://ror.org/00e7r7m66) (A Unit of Devki Devi Foundation), Max Healthcare, Delhi, India;
                Author notes
                [*]

                Priyanka Mehta and Chinky Shiu Chen Liu contributed equally to this work

                Author information
                https://orcid.org/0000-0001-6298-4322
                https://orcid.org/0000-0002-4404-8327
                Article
                LSA-2024-02683
                10.26508/lsa.202402683
                11147948
                38830771
                20ebb34c-e061-4d58-9e2f-f7135641711c
                © 2024 Mehta et al.

                This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

                History
                : 28 February 2024
                : 22 May 2024
                : 22 May 2024
                Funding
                Funded by: Bill and Melinda Gates Foundation (GF), DOI http://dx.doi.org/10.13039/100000865;
                Award ID: INV-033578
                Award Recipient :
                Funded by: Rockefeller Foundation (RF), DOI http://dx.doi.org/10.13039/100000877;
                Award ID: 2021 HTH 018
                Award Recipient :
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