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      Transcriptional profiling of a fungal granuloma reveals a low metabolic activity of Paracoccidioides brasiliensis yeasts and an actively regulated host immune response

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          Abstract

          Granulomas are important immunological structures in the host defense against the fungus Paracoccidioides brasiliensis, the main etiologic agent of Paracoccidioidomycosis (PCM), a granulomatous systemic mycosis endemic in Latin America. We have performed transcriptional and proteomic studies of yeasts present in the pulmonary granulomas of PCM aiming to identify relevant genes and proteins that act under stressing conditions. C57BL/6 mice were infected with 1x10 6 yeasts and after 8- and 12-weeks of infection, granulomatous lesions were obtained for extraction of fungal and murine RNAs and fungal proteins. Dual transcriptional profiling was done comparing lung cells and P. brasiliensis yeasts from granulomas with uninfected lung cells and the original yeast suspension used in the infection, respectively. Mouse transcripts indicated a lung malfunction, with low expression of genes related to muscle contraction and organization. In addition, an increased expression of transcripts related to the activity of neutrophils, eosinophils, macrophages, lymphocytes as well as an elevated expression of IL-1β, TNF-α, IFN-γ, IL-17 transcripts were observed. The increased expression of transcripts for CTLA-4, PD-1 and arginase-1, provided evidence of immune regulatory mechanisms within the granulomatous lesions. Also, our results indicate iron as a key element for the granuloma to function, where a high number of transcripts related to fungal siderophores for iron uptake was observed, a mechanism of fungal virulence not previously described in granulomas. Furthermore, transcriptomics and proteomics analyzes indicated a low fungal activity within the granuloma, as demonstrated by the decreased expression of genes and proteins related to energy metabolism and cell cycle.

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            limma powers differential expression analyses for RNA-sequencing and microarray studies

            limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of microarray and high-throughput PCR data. The package contains particularly strong facilities for reading, normalizing and exploring such data. Recently, the capabilities of limma have been significantly expanded in two important directions. First, the package can now perform both differential expression and differential splicing analyses of RNA sequencing (RNA-seq) data. All the downstream analysis tools previously restricted to microarray data are now available for RNA-seq as well. These capabilities allow users to analyse both RNA-seq and microarray data with very similar pipelines. Second, the package is now able to go past the traditional gene-wise expression analyses in a variety of ways, analysing expression profiles in terms of co-regulated sets of genes or in terms of higher-order expression signatures. This provides enhanced possibilities for biological interpretation of gene expression differences. This article reviews the philosophy and design of the limma package, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
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              KEGG: kyoto encyclopedia of genes and genomes.

              M Kanehisa (2000)
              KEGG (Kyoto Encyclopedia of Genes and Genomes) is a knowledge base for systematic analysis of gene functions, linking genomic information with higher order functional information. The genomic information is stored in the GENES database, which is a collection of gene catalogs for all the completely sequenced genomes and some partial genomes with up-to-date annotation of gene functions. The higher order functional information is stored in the PATHWAY database, which contains graphical representations of cellular processes, such as metabolism, membrane transport, signal transduction and cell cycle. The PATHWAY database is supplemented by a set of ortholog group tables for the information about conserved subpathways (pathway motifs), which are often encoded by positionally coupled genes on the chromosome and which are especially useful in predicting gene functions. A third database in KEGG is LIGAND for the information about chemical compounds, enzyme molecules and enzymatic reactions. KEGG provides Java graphics tools for browsing genome maps, comparing two genome maps and manipulating expression maps, as well as computational tools for sequence comparison, graph comparison and path computation. The KEGG databases are daily updated and made freely available (http://www. genome.ad.jp/kegg/).
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                Contributors
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                Journal
                Front Cell Infect Microbiol
                Front Cell Infect Microbiol
                Front. Cell. Infect. Microbiol.
                Frontiers in Cellular and Infection Microbiology
                Frontiers Media S.A.
                2235-2988
                05 October 2023
                2023
                : 13
                : 1268959
                Affiliations
                [1] 1 Institute of Science and Technology (ICT), Federal University of São Paulo (UNIFESP) , São José dos Campos, SP, Brazil
                [2] 2 Faculty of Pharmaceutical Science of Ribeirão Preto (FCFRP), University of São Paulo (USP) , Ribeirão Preto, SP, Brazil
                [3] 3 Institute of Chemistry, Universidade Estadual de Campinas , Campinas, SP, Brazil
                [4] 4 Department of Immunology, Institute of Biomedical Sciences, University of São Paulo (USP) , São Paulo, Brazil
                [5] 5 Department of Biology, Maynooth University , Maynooth, County Kildare, Ireland
                Author notes

                Edited by: Lysangela Ronalte Alves, Oswaldo Cruz Foundation, Brazil

                Reviewed by: Armando Pérez Torres, National Autonomous University of Mexico, Mexico; Fabio Seiti Yamada Yoshikawa, Chiba University, Japan; Sharon de Toledo Martins, Federal University of Paraná, Brazil

                *Correspondence: Flávio Vieira Loures, loures@ 123456unifesp.br
                Article
                10.3389/fcimb.2023.1268959
                10585178
                37868350
                cb47bac1-81db-4933-ae7f-670c82072e08
                Copyright © 2023 Borges, Ramos, Preite, Kaminski, Alves de Castro, Camacho, Maximo, Fill, Calich, Traynor, Sarikaya-Bayram, Doyle, Bayram, de Campos, Zelanis, Goldman and Loures

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 28 July 2023
                : 11 September 2023
                Page count
                Figures: 9, Tables: 3, Equations: 0, References: 119, Pages: 27, Words: 13965
                Funding
                Funded by: Fundação de Amparo à Pesquisa do Estado de São Paulo , doi 10.13039/501100001807;
                Award ID: 2018/14762-3, 2019/17324-0, 2021/09962-6, 2021/04977-5
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico , doi 10.13039/501100003593;
                Award ID: 301058/2019-9, 404735/2018-5
                Funded by: Science Foundation Ireland , doi 10.13039/501100001602;
                Award ID: SFI-21/FFP-P/10146, SFI-21/PATH-S/9444, (12/RI/2346 (3))
                Funded by: National Institute of Allergy and Infectious Diseases , doi 10.13039/100000060;
                We thank the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) grant number 2018-14762-3 (FL), 2019/17324-0 (BB), 2021/04977-5 (GG) and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) grant numbers 301058/2019-9 and 404735/2018-5 (GG), both from Brazil, and the National Institutes of Health/National Institute of Allergy and Infectious Diseases grants R01AI153356 (GG). AT was funded by a John and Pat Hume PhD Scholarship from Maynooth University. The Science Foundation Ireland provided grants SFI-21/FFP-P/10146 to ÖB and SFI-21/PATH-S/9444 to ÖS-B. Protein mass spectrometry facilities were funded by a competitive award from Science Foundation Ireland (12/RI/2346 (3)) to SD.
                Categories
                Cellular and Infection Microbiology
                Original Research
                Custom metadata
                Fungal Pathogenesis

                Infectious disease & Microbiology
                paracoccidioidomycosis,granuloma,transcriptomic,proteomic,fungal infection

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