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Article
Nature 418, 387-391 (25 July 2002) | doi:10.1038/nature00935; Received 19 March 2002; Accepted 19 June 2002
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Functional profiling of the Saccharomyces cerevisiae genome
Guri Giaever1, Angela M. Chu2, Li Ni3, Carla Connelly4, Linda Riles5, Steeve Véronneau6, Sally Dow7, Ankuta Lucau-Danila8, Keith Anderson1, Bruno André9, Adam P. Arkin10, Anna Astromoff2, Mohamed El Bakkoury11, Rhonda Bangham3, Rocio Benito12, Sophie Brachat13, Stefano Campanaro14, Matt Curtiss5, Karen Davis1, Adam Deutschbauer2, Karl-Dieter Entian15, Patrick Flaherty10,16, Francoise Foury8, David J. Garfinkel17, Mark Gerstein18, Deanna Gotte17, Ulrich Güldener19, Johannes H. Hegemann19, Svenja Hempel15, Zelek Herman1, Daniel F. Jaramillo1, Diane E. Kelly20, Steven L. Kelly20, Peter Kötter15, Darlene LaBonte3, David C. Lamb20, Ning Lan18, Hong Liang2, Hong Liao3, Lucy Liu3, Chuanyun Luo3, Marc Lussier6, Rong Mao4, Patrice Menard6, Siew Loon Ooi4, Jose L. Revuelta12, Christopher J. Roberts7, Matthias Rose15, Petra Ross-Macdonald3, Bart Scherens11, Greg Schimmack7, Brenda Shafer17, Daniel D. Shoemaker2, Sharon Sookhai-Mahadeo4, Reginald K. Storms21, Jeffrey N. Strathern17, Giorgio Valle14, Marleen Voet22, Guido Volckaert22, Ching-yun Wang17, Teresa R. Ward7, Julie Wilhelmy5, Elizabeth A. Winzeler2, Yonghong Yang3, Grace Yen2, Elaine Youngman4, Kexin Yu4, Howard Bussey6, Jef D. Boeke4, Michael Snyder3, Peter Philippsen13, Ronald W. Davis1,2 & Mark Johnston5
- Stanford Genome Technology Center, Stanford University, Palo Alto, California 94304, USA
- Department of Biochemistry, Stanford University School of Medicine, Stanford, California 94305-5307, USA
- Department of Molecular, Cellular & Developmental Biology, Yale University, New Haven, Connecticut 06520-8103, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520-8103, USA
- Department of Molecular Biology & Genetics, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205-2185, USA
- Department of Genetics, Washington University Medical School, St Louis, Missouri 63110, USA
- Department of Biology, McGill University, Montreal, Québec H3A 1B1, Canada
- Rosetta Inpharmatics Inc., Kirkland, Washington 98034, USA
- FYSA, Université catholique de Louvain, Place Croix du Sud, 2/20, 1348-Louvain-la-Neuve, Belgium
- Université Libre de Bruxelles, Laboratoire de Physiologie Cellulaire, IBMM CP300, Gosselies, Belgium
- Departments of Bioengineering and Chemistry, University of California, Berkeley, and Physical Biosciences Division, Lawrence Berkeley National Laboratory, Howard Hughes Medical Institute, Berkeley, California 94720-1770, USA
- IRMW, Université Libre de Bruxelles, B-1070 Brussels, Belgium
- Departamento de Microbiologia y Genetica, Instituto de Microbiologia y Bioquimica, CSIC/Universidad de Salamanca, E-37007 Salamanca, Spain
- Department of Molecular Microbiology, Biozentrum, University of Basel, CH-4056 Basel, Switzerland
- Department of Biology, University of Padova, I-35121 Padova, Italy
- EUROSCARF, Johann Wolfgang Goethe-Universität, Institute of Microbiology, D-60439 Frankfurt/Main, Germany
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720-1770, USA
- Gene Regulation and Chromosome Biology Laboratory, Center for Cancer Research, National Cancer Institute at Frederick, Frederick, Maryland 21702, USA
- Institut fur Mikrobiologie, Heinrich-Heine-Universitat Dusseldorf, D-40225 Dusseldorf, Germany
- Institute of Biological Sciences, University of Wales, Aberystwyth, Wales SY23 3DA, UK
- Department of Biology, Concordia University, Montreal, Québec H3G 1M8, Canada
- Katholieke Universiteit Leuven, Laboratory of Gene Technology, B-3001 Leuven, Belgium
Correspondence to: Ronald W. Davis1,2 Correspondence and requests for material should be addressed to R.W.D. (e-mail: Email: dbowe@cmgm.stanford.edu).
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.
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