| | |  | | | | Record from Web of Science® | | | | | | |
| Functional profiling of the Saccharomyces cerevisiae genome |
|
|
| Author(s): Giaever G, Chu AM, Ni L, Connelly C, Riles L, Veronneau S, Dow S, Lucau-Danila A, Anderson K, Andre 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, Guldener U, Hegemann JH, Hempel S, Herman Z, Jaramillo DF, Kelly DE, Kelly SL, Kotter P, LaBonte D, Lamb DC, Lan N, Liang H, Liao H, Liu L, Luo CY, 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 YH, Yen G, Youngman E, Yu KX, Bussey H, Boeke JD, Snyder M, Philippsen P, Davis RW, Johnston M |
| Source: NATURE Volume: 418 Issue: 6896 Pages: 387-391 Published: JUL 25 2002 |
| Times Cited: 1,140 References: 22 |
| 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. |
| Document Type: Article |
| Language: English |
| Reprint Address: Davis, RW (reprint author), Stanford Univ, Stanford Genome Technol Ctr, Palo Alto, CA 94304 USA |
Addresses:
1. Stanford Univ, Stanford Genome Technol Ctr, Palo Alto, CA 94304 USA
2. Stanford Univ, Sch Med, Dept Biochem, Stanford, CA 94305 USA
3. Yale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USA
4. Yale Univ, Dept Mol Biophys & Biochem, New Haven, CT 06520 USA
5. Johns Hopkins Univ, Sch Med, Dept Mol Biol & Genet, Baltimore, MD 21205 USA
6. Washington Univ, Sch Med, Dept Genet, St Louis, MO 63110 USA
7. McGill Univ, Dept Biol, Montreal, PQ H3A 1B1 Canada
8. Rosetta Inpharmat Inc, Kirkland, WA 98034 USA
9. Univ Catholique Louvain, FYSA, B-1348 Louvain, Belgium
10. Free Univ Brussels, Lab Physiol Cellulaire, Gosselies, Belgium
11. Univ Calif Berkeley, Dept Bioengn, Berkeley, CA 94720 USA
12. Univ Calif Berkeley, Dept Chem, Berkeley, CA 94720 USA
13. Univ Calif Berkeley, Lawrence Berkeley Lab, Phys Biosci Div, Howard Hughes Med Inst, Berkeley, CA 94720 USA
14. Free Univ Brussels, IRMW, B-1070 Brussels, Belgium
15. Univ Salamanca, CSIC, Inst Microbiol & Bioquim, Dept Genet & Microbiol, E-37007 Salamanca, Spain
16. Univ Basel, Biozentrum, Dept Mol Microbiol, CH-4056 Basel, Switzerland
17. Univ Padua, Dept Biol, I-35121 Padua, Italy
18. Univ Frankfurt, Inst Microbiol, EUROSCARF, D-60439 Frankfurt, Germany
19. Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
20. NCI, Ctr Canc Res, Gene Regulat & Chromosome Biol Lab, Frederick, MD 21702 USA
21. Univ Dusseldorf, Inst Mikrobiol, D-40225 Dusseldorf, Germany
22. Univ Wales, Inst Biol Sci, Aberystwyth SY23 3DA, Dyfed Wales
23. Concordia Univ, Dept Biol, Montreal, PQ H3G 1M8 Canada
24. Katholieke Univ Leuven, Lab Gene Technol, B-3001 Heverlee, Belgium |
| Publisher: NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND |
| Subject Category: Multidisciplinary Sciences |
| IDS Number: 576MU |
| ISSN: 0028-0836 |
| DOI: 10.1038/nature00935 |
|
| | | | | | | | | Record from Web of Science® | | | | | | | | | |