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      Unbiased yeast screens identify cellular pathways affected in Niemann–Pick disease type C

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          Abstract

          Three independent yeast genetic screens were performed identifying proteins and pathways contributing to the pathogenesis of NPC disease and suggesting new therapeutic avenues.

          Abstract

          Niemann–Pick disease type C (NPC) is a rare lysosomal storage disease caused by mutations in either the NPC1 or NPC2 genes. Mutations in the NPC1 gene lead to the majority of clinical cases (95%); however, the function of NPC1 remains unknown. To gain further insights into the biology of NPC1, we took advantage of the homology between the human NPC1 protein and its yeast orthologue, Niemann–Pick C–related protein 1 (Ncr1). We recreated the NCR1 mutant in yeast and performed screens to identify compensatory or redundant pathways that may be involved in NPC pathology, as well as proteins that were mislocalized in NCR1-deficient yeast. We also identified binding partners of the yeast Ncr1 orthologue. These screens identified several processes and pathways that may contribute to NPC pathogenesis. These included alterations in mitochondrial function, cytoskeleton organization, metal ion homeostasis, lipid trafficking, calcium signalling, and nutrient sensing. The mitochondrial and cytoskeletal abnormalities were validated in patient cells carrying mutations in NPC1, confirming their dysfunction in NPC disease.

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          Most cited references72

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          Additional modules for versatile and economical PCR-based gene deletion and modification in Saccharomyces cerevisiae.

          An important recent advance in the functional analysis of Saccharomyces cerevisiae genes is the development of the one-step PCR-mediated technique for deletion and modification of chromosomal genes. This method allows very rapid gene manipulations without requiring plasmid clones of the gene of interest. We describe here a new set of plasmids that serve as templates for the PCR synthesis of fragments that allow a variety of gene modifications. Using as selectable marker the S. cerevisiae TRP1 gene or modules containing the heterologous Schizosaccharomyces pombe his5+ or Escherichia coli kan(r) gene, these plasmids allow gene deletion, gene overexpression (using the regulatable GAL1 promoter), C- or N-terminal protein tagging [with GFP(S65T), GST, or the 3HA or 13Myc epitope], and partial N- or C-terminal deletions (with or without concomitant protein tagging). Because of the modular nature of the plasmids, they allow efficient and economical use of a small number of PCR primers for a wide variety of gene manipulations. Thus, these plasmids should further facilitate the rapid analysis of gene function in S. cerevisiae.
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            Designer deletion strains derived from Saccharomyces cerevisiae S288C: a useful set of strains and plasmids for PCR-mediated gene disruption and other applications.

            A set of yeast strains based on Saccharomyces cerevisiae S288C in which commonly used selectable marker genes are deleted by design based on the yeast genome sequence has been constructed and analysed. These strains minimize or eliminate the homology to the corresponding marker genes in commonly used vectors without significantly affecting adjacent gene expression. Because the homology between commonly used auxotrophic marker gene segments and genomic sequences has been largely or completely abolished, these strains will also reduce plasmid integration events which can interfere with a wide variety of molecular genetic applications. We also report the construction of new members of the pRS400 series of vectors, containing the kanMX, ADE2 and MET15 genes.
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              Functional profiling of the Saccharomyces cerevisiae genome.

              Determining the effect of gene deletion is a fundamental approach to understanding gene function. Conventional genetic screens exhibit biases, and genes contributing to a phenotype are often missed. We systematically constructed a nearly complete collection of gene-deletion mutants (96% of annotated open reading frames, or ORFs) of the yeast Saccharomyces cerevisiae. DNA sequences dubbed 'molecular bar codes' uniquely identify each strain, enabling their growth to be analysed in parallel and the fitness contribution of each gene to be quantitatively assessed by hybridization to high-density oligonucleotide arrays. We show that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment. Less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal growth in four of the tested conditions. Our results validate the yeast gene-deletion collection as a valuable resource for functional genomics.
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                Author and article information

                Journal
                Life Sci Alliance
                Life Sci Alliance
                lsa
                lsa
                Life Science Alliance
                Life Science Alliance LLC
                2575-1077
                2 June 2020
                July 2020
                2 June 2020
                : 3
                : 7
                : e201800253
                Affiliations
                [1 ]Department of Pharmacology, University of Oxford, Oxford, UK
                [2 ]Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
                [3 ]Nuffield Department of Obstetrics and Gynecology, University of Oxford, Oxford, UK
                [4 ]Institute of Ophthalmology–Cell Biology, University College London, London, UK
                [5 ]Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Bethesda, MD, USA
                Author notes
                Author information
                https://orcid.org/0000-0001-8612-6357
                https://orcid.org/0000-0003-4277-2079
                https://orcid.org/0000-0001-6240-3831
                https://orcid.org/0000-0001-5079-8274
                https://orcid.org/0000-0001-9352-5532
                https://orcid.org/0000-0002-1490-5447
                https://orcid.org/0000-0001-9947-115X
                https://orcid.org/0000-0001-7614-0403
                Article
                LSA-2018-00253
                10.26508/lsa.201800253
                7283134
                32487688
                cd0dcafd-9c34-4de6-b4ff-7c0027478669
                © 2020 Colaco et al.

                This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

                History
                : 23 November 2018
                : 21 May 2020
                : 22 May 2020
                Funding
                Funded by: European Union Seventh Framework Programme;
                Award ID: 289278
                Funded by: Wellcome Trust;
                Award ID: 202834/Z/16/Z
                Award Recipient :
                Categories
                Research Article
                Research Articles
                4

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