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      Flotillin-Dependent Membrane Microdomains Are Required for Functional Phagolysosomes against Fungal Infections

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          SUMMARY

          Lipid rafts form signaling platforms on biological membranes with incompletely characterized role in immune response to infection. Here we report that lipid-raft microdomains are essential components of phagolysosomal membranes of macrophages and depend on flotillins. Genetic deletion of flotillins demonstrates that the assembly of both major defense complexes vATPase and NADPH oxidase requires membrane microdomains. Furthermore, we describe a virulence mechanism leading to dysregulation of membrane microdomains by melanized wild-type conidia of the important human-pathogenic fungus Aspergillus fumigatus resulting in reduced phagolysosomal acidification. We show that phagolysosomes with ingested melanized conidia contain a reduced amount of free Ca 2+ ions and that inhibition of Ca 2+-dependent calmodulin activity led to reduced lipid-raft formation. We identify a single-nucleotide polymorphism in the human FLOT1 gene resulting in heightened susceptibility for invasive aspergillosis in hematopoietic stem cell transplant recipients. Collectively, flotillin-dependent microdomains on the phagolysosomal membrane play an essential role in protective antifungal immunity.

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          In Brief

          Schmidt el al. show that lipid rafts in phagolysosomal membranes of macrophages depend on flotillins. Lipid rafts are required for assembly of vATPase and NADPH oxidase. Conidia of the human-pathogenic fungus Aspergillus fumigatus dysregulate assembly of flotillin-dependent lipid rafts in the phagolysosomal membrane and can thereby escape phagolysosomal digestion.

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          Most cited references86

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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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            ImageJ2: ImageJ for the next generation of scientific image data

            Background ImageJ is an image analysis program extensively used in the biological sciences and beyond. Due to its ease of use, recordable macro language, and extensible plug-in architecture, ImageJ enjoys contributions from non-programmers, amateur programmers, and professional developers alike. Enabling such a diversity of contributors has resulted in a large community that spans the biological and physical sciences. However, a rapidly growing user base, diverging plugin suites, and technical limitations have revealed a clear need for a concerted software engineering effort to support emerging imaging paradigms, to ensure the software’s ability to handle the requirements of modern science. Results We rewrote the entire ImageJ codebase, engineering a redesigned plugin mechanism intended to facilitate extensibility at every level, with the goal of creating a more powerful tool that continues to serve the existing community while addressing a wider range of scientific requirements. This next-generation ImageJ, called “ImageJ2” in places where the distinction matters, provides a host of new functionality. It separates concerns, fully decoupling the data model from the user interface. It emphasizes integration with external applications to maximize interoperability. Its robust new plugin framework allows everything from image formats, to scripting languages, to visualization to be extended by the community. The redesigned data model supports arbitrarily large, N-dimensional datasets, which are increasingly common in modern image acquisition. Despite the scope of these changes, backwards compatibility is maintained such that this new functionality can be seamlessly integrated with the classic ImageJ interface, allowing users and developers to migrate to these new methods at their own pace. Conclusions Scientific imaging benefits from open-source programs that advance new method development and deployment to a diverse audience. ImageJ has continuously evolved with this idea in mind; however, new and emerging scientific requirements have posed corresponding challenges for ImageJ’s development. The described improvements provide a framework engineered for flexibility, intended to support these requirements as well as accommodate future needs. Future efforts will focus on implementing new algorithms in this framework and expanding collaborations with other popular scientific software suites. Electronic supplementary material The online version of this article (doi:10.1186/s12859-017-1934-z) contains supplementary material, which is available to authorized users.
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              Hidden killers: human fungal infections.

              Although fungal infections contribute substantially to human morbidity and mortality, the impact of these diseases on human health is not widely appreciated. Moreover, despite the urgent need for efficient diagnostic tests and safe and effective new drugs and vaccines, research into the pathophysiology of human fungal infections lags behind that of diseases caused by other pathogens. In this Review, we highlight the importance of fungi as human pathogens and discuss the challenges we face in combating the devastating invasive infections caused by these microorganisms, in particular in immunocompromised individuals.
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                Author and article information

                Journal
                101573691
                39703
                Cell Rep
                Cell Rep
                Cell reports
                2211-1247
                23 March 2023
                18 August 2020
                29 March 2023
                : 32
                : 7
                : 108017
                Affiliations
                [1 ]Department of Molecular and Applied Microbiology, Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI), 07745 Jena, Germany
                [2 ]Department of Microbiology and Molecular Biology, Institute of Microbiology, Friedrich Schiller University Jena, 07745 Jena, Germany
                [3 ]Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
                [4 ]ICVS/3B’s - PT Government Associate Laboratory, Braga/Guimarães, Campus de Gualtar, 4710-057 Braga, Portugal
                [5 ]Research Group Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology (HKI), 07745 Jena, Germany
                [6 ]MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Headley Way, Oxford OX3 9DS, UK
                [7 ]Department of Anesthesiology and Intensive Care Medicine, Center for Sepsis Control and Care (CSCC) and Center for Molecular Biomedicine (CMB), University Hospital Jena, 07740 Jena, Germany
                [8 ]Department of Medicine, University of Crete, and Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, 71300 Heraklion, Crete, Greece
                [9 ]Serviço de Hematologia e Transplantação de Medula, Hospital de Santa Maria, 1649-035 Lisboa, Portugal, and Instituto de Medicina Molecular, Faculdade de Medicina de Lisboa, 1649-028 Lisboa, Portugal
                [10 ]Serviço de Transplantação de Medula Óssea (STMO), Instituto Português de Oncologia do Porto, 4200-072 Porto, Portugal
                [11 ]Institute of Applied Optics, Friedrich Schiller University Jena, and Department of Biophysical Imaging, Leibniz Institute of Photonic Technology (IPHT), 07745 Jena, Germany
                [12 ]Division of Infectious Diseases, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance CA 90502, USA
                [13 ]David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA
                [14 ]These authors contributed equally
                [15 ]Lead Contact
                Author notes

                AUTHOR CONTRIBUTIONS

                F.S., A.T., M.G., Z.C., H.S., M.R., S.G., A.C., M.H.G., and T.H. conducted experiments and analyzed data. A.A.B., M.T.F., G.C., C.C., A. Carvalho, J.F.L., A. Campos Jr., C.E., and S.G.F. designed research and analyzed data. F.S., H.S., A.T., M.G., T.H., G.C., S.G.F., and A.A.B. wrote the paper.

                Article
                NIHMS1878819
                10.1016/j.celrep.2020.108017
                10054021
                32814035
                2708d96b-961b-4677-a120-173e8ac87f48

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

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                Cell biology
                Cell biology

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