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      An arrayed genome‐wide perturbation screen identifies the ribonucleoprotein Hnrnpk as rate‐limiting for prion propagation

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          Abstract

          A defining characteristic of mammalian prions is their capacity for self‐sustained propagation. Theoretical considerations and experimental evidence suggest that prion propagation is modulated by cell‐autonomous and non‐autonomous modifiers. Using a novel quantitative phospholipase protection assay (QUIPPER) for high‐throughput prion measurements, we performed an arrayed genome‐wide RNA interference (RNAi) screen aimed at detecting cellular host‐factors that can modify prion propagation. We exposed prion‐infected cells in high‐density microplates to 35,364 ternary pools of 52,746 siRNAs targeting 17,582 genes representing the majority of the mouse protein‐coding transcriptome. We identified 1,191 modulators of prion propagation. While 1,151 modified the expression of both the pathological prion protein, PrP Sc, and its cellular counterpart, PrP C, 40 genes selectively affected PrP Sc. Of the latter 40 genes, 20 augmented prion production when suppressed. A prominent limiter of prion propagation was the heterogeneous nuclear ribonucleoprotein Hnrnpk. Psammaplysene A (PSA), which binds Hnrnpk, reduced prion levels in cultured cells and protected them from cytotoxicity. PSA also reduced prion levels in infected cerebellar organotypic slices and alleviated locomotor deficits in prion‐infected Drosophila melanogaster expressing ovine PrP C. Hence, genome‐wide QUIPPER‐based perturbations can discover actionable cellular pathways involved in prion propagation. Further, the unexpected identification of a prion‐controlling ribonucleoprotein suggests a role for RNA in the generation of infectious prions.

          Abstract

          A novel quantitative phospholipase protection assay in combination with a genome‐wide RNA interference screen leads to the identification of host factors involved in prion propagation.

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          NIH Image to ImageJ: 25 years of image analysis

          For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            Proteomics. Tissue-based map of the human proteome.

            Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. Copyright © 2015, American Association for the Advancement of Science.
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              Animal models of necrotizing enterocolitis: review of the literature and state of the art

              Abstract Necrotizing enterocolitis (NEC) remains the leading cause of gastrointestinal surgical emergency in preterm neonates. Over the last five decades, a variety of experimental models have been developed to study the pathophysiology of this disease and to test the effectiveness of novel therapeutic strategies. Experimental NEC is mainly modeled in neonatal rats, mice and piglets. In this review, we focus on these experimental models and discuss the major advantages and disadvantages of each. We also briefly discuss other models that are not as widely used but have contributed to our current knowledge of NEC.
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                Author and article information

                Contributors
                adriano.aguzzi@usz.ch
                Journal
                EMBO J
                EMBO J
                10.1002/(ISSN)1460-2075
                EMBJ
                embojnl
                The EMBO Journal
                John Wiley and Sons Inc. (Hoboken )
                0261-4189
                1460-2075
                18 October 2022
                December 2022
                18 October 2022
                : 41
                : 23 ( doiID: 10.1002/embj.v41.23 )
                : e112338
                Affiliations
                [ 1 ] Institute of Neuropathology University of Zurich Zurich Switzerland
                [ 2 ] Department of Veterinary Medicine University of Cambridge Cambridge UK
                [ 3 ] Department of Quantitative Biomedicine University of Zurich Zurich Switzerland
                Author notes
                [*] [* ]Corresponding author. Tel: +41 44 255 2107; E‐mail: adriano.aguzzi@ 123456usz.ch
                [ † ]

                These authors contributed equally to this work

                Author information
                https://orcid.org/0000-0003-4665-5558
                https://orcid.org/0000-0002-3282-4042
                https://orcid.org/0000-0002-2752-1127
                https://orcid.org/0000-0003-1543-1965
                https://orcid.org/0000-0002-9253-4362
                https://orcid.org/0000-0003-2579-6271
                https://orcid.org/0000-0003-3734-2496
                https://orcid.org/0000-0001-6632-7063
                https://orcid.org/0000-0002-2134-8693
                https://orcid.org/0000-0001-8752-148X
                https://orcid.org/0000-0002-6073-8811
                https://orcid.org/0000-0003-3428-418X
                https://orcid.org/0000-0002-2674-9891
                https://orcid.org/0000-0003-1271-9445
                https://orcid.org/0000-0002-0344-6708
                Article
                EMBJ2022112338
                10.15252/embj.2022112338
                9713719
                36254605
                d444acb7-cccb-4eb7-b307-b820931bb534
                ©2022 The Authors. Published under the terms of the CC BY NC ND 4.0 license.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 17 September 2022
                : 10 August 2022
                : 22 September 2022
                Page count
                Figures: 11, Tables: 0, Pages: 25, Words: 17104
                Funding
                Funded by: Donation from the Estate of Dr Hans Salvisberg
                Funded by: European Research Council , doi 10.13039/501100000781;
                Award ID: 670958
                Funded by: Nomis Foundation , doi 10.13039/501100008483;
                Funded by: Swiss National Research Foundation
                Award ID: 179040
                Funded by: Swiss Perfonalized Health Network (SPHN)
                Award ID: 2017DRI17
                Categories
                Article
                Articles
                Custom metadata
                2.0
                1 December 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.1 mode:remove_FC converted:01.12.2022

                Molecular biology
                high‐throughput screen,hnrnpk,neurodegeneration,prion,protein aggregation,molecular biology of disease,rna biology

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