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Functional profiling of the Saccharomyces cerevisiae genome.
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- Author(s): Giaever G;Giaever G; Chu AM; Ni L; Connelly C; Riles L; Véronneau S; Dow S; Lucau-Danila A; Anderson K; André B; Arkin AP; Astromoff A; El-Bakkoury M; Bangham R; Benito R; Brachat S; Campanaro S; Curtiss M; Davis K; Deutschbauer A; Entian KD; Flaherty P; Foury F; Garfinkel DJ; Gerstein M; Gotte D; Güldener U; Hegemann JH; Hempel S; Herman Z; Jaramillo DF; Kelly DE; Kelly SL; Kötter P; LaBonte D; Lamb DC; Lan N; Liang H; Liao H; Liu L; Luo C; Lussier M; Mao R; Menard P; Ooi SL; Revuelta JL; Roberts CJ; Rose M; Ross-Macdonald P; Scherens B; Schimmack G; Shafer B; Shoemaker DD; Sookhai-Mahadeo S; Storms RK; Strathern JN; Valle G; Voet M; Volckaert G; Wang CY; Ward TR; Wilhelmy J; Winzeler EA; Yang Y; Yen G; Youngman E; Yu K; Bussey H; Boeke JD; Snyder M; Philippsen P; Davis RW; Johnston M
- Source:
Nature [Nature] 2002 Jul 25; Vol. 418 (6896), pp. 387-91.- Publication Type:
Journal Article; Research Support, Non-U.S. Gov't- Language:
English - Source:
- Additional Information
- Source: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 0410462 Publication Model: Print Cited Medium: Print ISSN: 0028-0836 (Print) Linking ISSN: 00280836 NLM ISO Abbreviation: Nature Subsets: MEDLINE
- Publication Information: Publication: Basingstoke : Nature Publishing Group
Original Publication: London, Macmillan Journals ltd. - Subject Terms: Gene Deletion* ; Genome, Fungal*; Proteome/*metabolism ; Saccharomyces cerevisiae/*genetics ; Saccharomyces cerevisiae/*metabolism ; Saccharomyces cerevisiae Proteins/*genetics ; Saccharomyces cerevisiae Proteins/*metabolism; Cell Size ; Cluster Analysis ; Culture Media/pharmacology ; Galactose/pharmacology ; Gene Expression Profiling ; Genes, Fungal ; Hydrogen-Ion Concentration ; Nystatin/pharmacology ; Open Reading Frames/genetics ; Osmolar Concentration ; Phenotype ; Proteome/genetics ; Saccharomyces cerevisiae/drug effects ; Saccharomyces cerevisiae/growth & development ; Selection, Genetic ; Sorbitol/pharmacology
- Abstract: 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.
- Accession Number: 0 (Culture Media)
0 (Proteome)
0 (Saccharomyces cerevisiae Proteins)
1400-61-9 (Nystatin)
506T60A25R (Sorbitol)
X2RN3Q8DNE (Galactose) - Publication Date: Date Created: 20020726 Date Completed: 20020813 Latest Revision: 20230120
- Publication Date: 20240104
- Accession Number: 10.1038/nature00935
- Accession Number: 12140549
- Source:
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