PMID:12140549

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Citation

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 and Johnston, M (2002) Functional profiling of the Saccharomyces cerevisiae genome. Nature 418:387-91

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.

Links

PubMed Online version:10.1038/nature00935

Keywords

Cell Size; Cluster Analysis; Culture Media/pharmacology; Galactose/pharmacology; Gene Deletion; Gene Expression Profiling; Genes, Fungal; Genome, Fungal; Hydrogen-Ion Concentration; Nystatin/pharmacology; Open Reading Frames/genetics; Osmolar Concentration; Phenotype; Proteome/genetics; Proteome/metabolism; Saccharomyces cerevisiae/drug effects; Saccharomyces cerevisiae/genetics; Saccharomyces cerevisiae/growth & development; Saccharomyces cerevisiae/metabolism; Saccharomyces cerevisiae Proteins/genetics; Saccharomyces cerevisiae Proteins/metabolism; Selection, Genetic; Sorbitol/pharmacology

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