Functional profiling of the Saccharomyces cerevisiae genome

Guri Giaever, Angela M. Chu, Li Ni, Carla Connelly, Linda Riles, Steeve Véronneau, Sally Dow, Ankuta Lucau-Danila, Keith Anderson, Bruno André, Adam P Arkin, Anna Astromoff, Mohamed El Bakkoury, Rhonda Bangham, Rocio Benito, Sophie Brachatt, Stefano Campanaro, Matt Curtiss, Karen Davis, Adam DeurschbauerKarl-Dieter Entian, Patrick Flaherty, Francoise Foury, David Garfinkel, Mark Gerstein, Deanna Gotte, Ulrich Güldener, Johannes H. Hegemann, Svenga Hempel, Zelek Herman, Daniel F. Jaramillo, Diane Elizabeth Kelly, Steven Lewis Kelly, Steven Kötter, Darlene LaBont, David Christopher Lamb, Ning Lan, Hong Liang, Hong Liao, Lucy Liu, Chuanyun Luo, Marc Lussier, Rong Mao, Patrice Menard, Siew Loon Ooi, Jose L. Revuelta, Christopher J. Roberts, Matthias Rose, Petra Ross-Macdonald, Bart Scherens, Greg Schimmack, Brenda Shafer, Daniel D. Shoemaker, Sharon Sookhai-Mahadeo, Reginald K. Storms, Jeffrey N. Strathern, Giorgio Valle, Marleen Voet, Guido Volckaert, Ching-yun Wang, Teresa R. Ward, Julie Wilhelmy, Elizabeth A. Winzeler, Yonghong Yang, Grace Yen, Elaine Youngman, Kexin Yu, Howard Bussey, Jef D. Boeke, Michael Snyder, Peter Philippsen, Ronald W. Davis, Mark Johnston

Research output: Contribution to journalArticlepeer-review

3367 Citations (SciVal)


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.
Original languageEnglish
Pages (from-to)387-391
Number of pages5
Publication statusPublished - 25 Jul 2002


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