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Large-scale analysis of the yeast genome by transposon tagging and gene disruption

Author

Listed:
  • Petra Ross-Macdonald

    (Cellular and Developmental Biology, Yale University, PO Box 208103)

  • Paulo S. R. Coelho

    (Cellular and Developmental Biology, Yale University, PO Box 208103)

  • Terry Roemer

    (Cellular and Developmental Biology, Yale University, PO Box 208103)

  • Seema Agarwal

    (Cellular and Developmental Biology, Yale University, PO Box 208103)

  • Anuj Kumar

    (Cellular and Developmental Biology, Yale University, PO Box 208103)

  • Ronald Jansen

    (Yale University, PO Box 208114)

  • Kei-Hoi Cheung

    (Center for Medical Informatics, Yale University School of Medicine)

  • Amy Sheehan

    (Cellular and Developmental Biology, Yale University, PO Box 208103)

  • Dawn Symoniatis

    (Cellular and Developmental Biology, Yale University, PO Box 208103)

  • Lara Umansky

    (Cellular and Developmental Biology, Yale University, PO Box 208103)

  • Matthew Heidtman

    (Cellular and Developmental Biology, Yale University, PO Box 208103)

  • F. Kenneth Nelson

    (Cellular and Developmental Biology, Yale University, PO Box 208103)

  • Hiroshi Iwasaki

    (Cellular and Developmental Biology, Yale University, PO Box 208103)

  • Karl Hager

    (Keck Foundation Biotechnology Resource Laboratory, 295 Congress Avenue, Yale University)

  • Mark Gerstein

    (Yale University, PO Box 208114)

  • Perry Miller

    (Center for Medical Informatics, Yale University School of Medicine)

  • G. Shirleen Roeder

    (Cellular and Developmental Biology, Yale University, PO Box 208103)

  • Michael Snyder

    (Cellular and Developmental Biology, Yale University, PO Box 208103
    Yale University, PO Box 208114)

Abstract

Economical methods by which gene function may be analysed on a genomic scale are relatively scarce. To fill this need, we have developed a transposon-tagging strategy for the genome-wide analysis of disruption phenotypes, gene expression and protein localization, and have applied this method to the large-scale analysis of gene function in the budding yeast Saccharomyces cerevisiae. Here we present the largest collection of defined yeast mutants ever generated within a single genetic background—a collection of over 11,000 strains, each carrying a transposon inserted within a region of the genome expressed during vegetative growth and/or sporulation. These insertions affect nearly 2,000 annotated genes, representing about one-third of the 6,200 predicted genes in the yeast genome1,2. We have used this collection to determine disruption phenotypes for nearly 8,000 strains using 20 different growth conditions; the resulting data sets were clustered to identify groups of functionally related genes. We have also identified over 300 previously non-annotated open reading frames and analysed by indirect immunofluorescence over 1,300 transposon-tagged proteins. In total, our study encompasses over 260,000 data points, constituting the largest functional analysis of the yeast genome ever undertaken.

Suggested Citation

  • Petra Ross-Macdonald & Paulo S. R. Coelho & Terry Roemer & Seema Agarwal & Anuj Kumar & Ronald Jansen & Kei-Hoi Cheung & Amy Sheehan & Dawn Symoniatis & Lara Umansky & Matthew Heidtman & F. Kenneth Ne, 1999. "Large-scale analysis of the yeast genome by transposon tagging and gene disruption," Nature, Nature, vol. 402(6760), pages 413-418, November.
  • Handle: RePEc:nat:nature:v:402:y:1999:i:6760:d:10.1038_46558
    DOI: 10.1038/46558
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    Cited by:

    1. Romualdo Pastor-Satorras & Eric Smith & Ricard V. Solé, 2002. "Evolving Protein Interaction Networks through Gene Duplication," Working Papers 02-02-008, Santa Fe Institute.

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