9 research outputs found

    The human polyomavirus, JCV, uses serotonin receptors to infect cells

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    The human polyomavirus, JCV, causes the fatal demyelinating disease progressive multifocal leukoencephalopathy in immunocompromised patients. We found that the serotonergic receptor 5HT2AR could act as the cellular receptor for JCV on human glial cells. The 5HT2Areceptor antagonists inhibited JCV infection, and monoclonal antibodies directed at 5HT2Areceptors blocked infection of glial cells by JCV, but not by SV40. Transfection of 5HT2Areceptor–negative HeLa cells with a 5HT2A receptor rescued virus infection, and this infection was blocked by antibody to the 5HT2A receptor. A tagged 5HT2A receptor colocalized with labeled JCV in an endosomal compartment following internalization. Serotonin receptor antagonists may thus be useful in the treatment of progressive multifocal leukoencephalopathy

    Transcriptional Regulation of BK Virus by Nuclear Factor of Activated T Cellsâ–ż

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    The human polyomavirus BK virus (BKV) is a common virus for which 80 to 90% of the adult population is seropositive. BKV reactivation in immunosuppressed patients or renal transplant patients is the primary cause of polyomavirus-associated nephropathy (PVN). Using the Dunlop strain of BKV, we found that nuclear factor of activated T cells (NFAT) plays an important regulatory role in BKV infection. Luciferase reporter assays and chromatin immunoprecipitation assays demonstrated that NFAT4 bound to the viral promoter and regulated viral transcription and infection. The mutational analysis of the NFAT binding sites demonstrated complex functional interactions between NFAT, c-fos, c-jun, and the p65 subunit of NF-ÎşB that together influence promoter activity and viral growth. These data indicate that NFAT is required for BKV infection and is involved in a complex regulatory network that both positively and negatively influences promoter activity and viral infection

    Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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    In the version of this article initially published, some reference citations were incorrect. The three references to Jupyter Notebooks should have cited Kluyver et al. instead of Gonzalez et al. The reference to Qiita should have cited Gonzalez et al. instead of Schloss et al. The reference to mothur should have cited Schloss et al. instead of McMurdie & Holmes. The reference to phyloseq should have cited McMurdie & Holmes instead of Huber et al. The reference to Bioconductor should have cited Huber et al. instead of Franzosa et al. And the reference to the biobakery suite should have cited Franzosa et al. instead of Kluyver et al. The errors have been corrected in the HTML and PDF versions of the article.</p

    Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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    An amendment to this paper has been published and can be accessed via a link at the top of the paper

    QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science

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    Bolyen E, Rideout JR, Dillon MR, et al. QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science. PeerJ. 2018

    Reproducible, Interactive, Scalable and Extensible Microbiome Data Science Using QIIME 2

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    Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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