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      Multiplexed gene expression analysis of HLA class II-associated podoconiosis implicates chronic immune activation in its pathogenesis

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          Abstract

          Background

          Podoconiosis is a tropical lymphoedema of the leg resulting from barefoot exposure to irritant volcanic soils. Approximately 4 million people are affected, mainly in African highland regions. The pathogenesis of this neglected tropical disease is still largely unknown, although HLA class II (HLAII) polymorphisms are associated with the disease.

          Methods

          NanoString technology was used to assess expression of 579 immune-related genes in formalin-fixed and paraffin-embedded lymph node archival samples from podoconiosis patients and unaffected controls.

          Results

          Forty-eight genes were upregulated and 21 downregulated in podoconiosis samples compared with controls. Gene ontology analysis showed differentially expressed genes to be closely related to major histocompatibility complex protein, cytokine and TNF receptor binding genes. Pathway enrichment analysis revealed involvement of lymphocyte activation, adaptive immunity, cytokine signalling, antigen processing and the IL-12 pathways.

          Conclusions

          This exploratory study reports a multiplex gene expression analysis in podoconiosis and shows upregulation of pro-inflammatory transcripts compatible with the notion of local, chronic immune activation in this HLAII-associated disease. Implicated pathways will inform future research into podoconiosis immunopathogenesis.

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          Most cited references29

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          Metascape provides a biologist-oriented resource for the analysis of systems-level datasets

          A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of a broad set of current biological databases and the application of a robust analytical pipeline to produce readily interpretable results. Metascape is a web-based portal designed to provide a comprehensive gene list annotation and analysis resource for experimental biologists. In terms of design features, Metascape combines functional enrichment, interactome analysis, gene annotation, and membership search to leverage over 40 independent knowledgebases within one integrated portal. Additionally, it facilitates comparative analyses of datasets across multiple independent and orthogonal experiments. Metascape provides a significantly simplified user experience through a one-click Express Analysis interface to generate interpretable outputs. Taken together, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era.
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            STRING v10: protein–protein interaction networks, integrated over the tree of life

            The many functional partnerships and interactions that occur between proteins are at the core of cellular processing and their systematic characterization helps to provide context in molecular systems biology. However, known and predicted interactions are scattered over multiple resources, and the available data exhibit notable differences in terms of quality and completeness. The STRING database (http://string-db.org) aims to provide a critical assessment and integration of protein–protein interactions, including direct (physical) as well as indirect (functional) associations. The new version 10.0 of STRING covers more than 2000 organisms, which has necessitated novel, scalable algorithms for transferring interaction information between organisms. For this purpose, we have introduced hierarchical and self-consistent orthology annotations for all interacting proteins, grouping the proteins into families at various levels of phylogenetic resolution. Further improvements in version 10.0 include a completely redesigned prediction pipeline for inferring protein–protein associations from co-expression data, an API interface for the R computing environment and improved statistical analysis for enrichment tests in user-provided networks.
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              Direct multiplexed measurement of gene expression with color-coded probe pairs.

              We describe a technology, the NanoString nCounter gene expression system, which captures and counts individual mRNA transcripts. Advantages over existing platforms include direct measurement of mRNA expression levels without enzymatic reactions or bias, sensitivity coupled with high multiplex capability, and digital readout. Experiments performed on 509 human genes yielded a replicate correlation coefficient of 0.999, a detection limit between 0.1 fM and 0.5 fM, and a linear dynamic range of over 500-fold. Comparison of the NanoString nCounter gene expression system with microarrays and TaqMan PCR demonstrated that the nCounter system is more sensitive than microarrays and similar in sensitivity to real-time PCR. Finally, a comparison of transcript levels for 21 genes across seven samples measured by the nCounter system and SYBR Green real-time PCR demonstrated similar patterns of gene expression at all transcript levels.
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                Author and article information

                Contributors
                Journal
                Trans R Soc Trop Med Hyg
                Trans R Soc Trop Med Hyg
                trstmh
                Transactions of the Royal Society of Tropical Medicine and Hygiene
                Oxford University Press
                0035-9203
                1878-3503
                December 2020
                24 October 2020
                24 October 2020
                : 114
                : 12 , Special Issue: Podoconiosis - Cross-Disciplinary Research Updates in the Year of NTDs
                : 926-936
                Affiliations
                Brighton and Sussex Centre for Global Health Research, Department of Global Health & Infection, Brighton & Sussex Medical School, University of Sussex , Falmer, Brighton BN1 9PX, UK
                Department of Primary Care and Public Health, Brighton & Sussex Medical School, University of Sussex , Falmer, Brighton BN1 9PX, UK
                Department of Immunology and Inflammation, Faculty of Medicine, Hammersmith Hospital, Imperial College London , London W12 0NN, UK
                Department of Infectious Disease, Faculty of Medicine, Hammersmith Hospital, Imperial College London , London W12 0NN, UK
                Institute of Cellular Medicine, Newcastle University , Newcastle upon Tyne, UK
                Brighton and Sussex Centre for Global Health Research, Department of Global Health & Infection, Brighton & Sussex Medical School, University of Sussex , Falmer, Brighton BN1 9PX, UK
                Author notes
                Corresponding author: Tel: 01273877876; E-mail: D.Alcantara@ 123456bsms.ac.uk
                Author information
                http://orcid.org/0000-0003-3185-1548
                Article
                traa107
                10.1093/trstmh/traa107
                7738654
                33099652
                dddc7a3d-d8c7-4f94-b935-0a1d11d7bdbd
                © The Author(s) 2020. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 June 2020
                : 25 August 2020
                : 25 September 2020
                Page count
                Pages: 11
                Funding
                Funded by: National Institute for Health Research, DOI 10.13039/501100000272;
                Categories
                Special Issue
                Original Article
                AcademicSubjects/MED00860
                AcademicSubjects/MED00290

                Medicine
                archive,gene expression,immunology,lymph nodes,nanostring,podoconiosis
                Medicine
                archive, gene expression, immunology, lymph nodes, nanostring, podoconiosis

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