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


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1999-11

AUTHORS

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 Nelson, Hiroshi Iwasaki, Karl Hager, Mark Gerstein, Perry Miller, G. Shirleen Roeder, Michael Snyder

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. More... »

PAGES

413-418

Journal

TITLE

Nature

ISSUE

6760

VOLUME

402

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/46558

DOI

http://dx.doi.org/10.1038/46558

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048366482

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/10586881


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23 schema:description 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.
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31 background
32 collection
33 conditions
34 data points
35 data sets
36 different growth conditions
37 disruption
38 disruption phenotypes
39 economical method
40 expression
41 frame
42 function
43 functional analysis
44 gene disruption
45 gene expression
46 gene function
47 genes
48 genetic background
49 genome
50 genome-wide analysis
51 genomic scale
52 group
53 growth
54 growth conditions
55 immunofluorescence
56 indirect immunofluorescence
57 insertion
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60 localization
61 method
62 mutants
63 need
64 non-annotated open reading frames
65 one-third
66 open reading frame
67 phenotype
68 point
69 protein
70 protein localization
71 reading frame
72 region
73 scale
74 set
75 single genetic background
76 sporulation
77 strains
78 strategies
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81 total
82 transposon
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