Quantitative phenotypic analysis of yeast deletion mutants using a highly parallel molecular bar–coding strategy View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1996-12

AUTHORS

Daniel D. Shoemaker, Deval A. Lashkari, Don Morris, Mike Mittmann, Ronald W. Davis

ABSTRACT

A quantitative and highly parallel method for analysing deletion mutants has been developed to aid in determining the biological function of thousands of newly identified open reading frames (ORFs) in Saccharomyces cerevisiae. This approach uses a PCR targeting strategy to generate large numbers of deletion strains. Each deletion strain is labelled with a unique 20–base tag sequence that can be detected by hybridization to a high–density oligonucleotide array. The tags serve as unique identifiers (molecular bar codes) that allow analysis of large numbers of deletion strains simultaneously through selective growth conditions. Hybridization experiments show that the arrays are specific, sensitive and quantitative. A pilot study with 11 known yeastgenes suggests that the method can be extended to include all of the ORFs in the yeast genome, allowing whole genome analysis with a single selective growth condition and a single hybridization. More... »

PAGES

450-456

References to SciGraph publications

Journal

TITLE

Nature Genetics

ISSUE

4

VOLUME

14

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/ng1296-450

    DOI

    http://dx.doi.org/10.1038/ng1296-450

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1002428346

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/8944025


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