A comprehensive strategy enabling high-resolution functional analysis of the yeast genome

被引:385
作者
Breslow, David K. [1 ,2 ,3 ,4 ]
Cameron, Dale M. [1 ,2 ,3 ]
Collins, Sean R. [1 ,2 ,3 ]
Schuldiner, Maya [1 ,2 ,3 ]
Stewart-Ornstein, Jacob [1 ,2 ,3 ]
Newman, Heather W. [5 ]
Braun, Sigurd [2 ,5 ]
Madhani, Hiten D. [2 ,5 ]
Krogan, Nevan J. [1 ,2 ]
Weissman, Jonathan S. [1 ,2 ,3 ]
机构
[1] Univ Calif San Francisco, Dept Cell & Mol Pharmacol, San Francisco, CA 94158 USA
[2] Univ Calif San Francisco, Calif Inst Quantitat Biomed Res, San Francisco, CA 94158 USA
[3] Univ Calif San Francisco, Howard Hughes Med Inst, San Francisco, CA 94158 USA
[4] Univ Calif San Francisco, Grad Program Chem & Chem Biol, San Francisco, CA 94158 USA
[5] Univ Calif San Francisco, Dept Biochem & Biophys, San Francisco, CA 94158 USA
关键词
D O I
10.1038/nmeth.1234
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Functional genomic studies in Saccharomyces cerevisiae have contributed enormously to our understanding of cellular processes. Their full potential, however, has been hampered by the limited availability of reagents to systematically study essential genes and the inability to quantify the small effects of most gene deletions on growth. Here we describe the construction of a library of hypomorphic alleles of essential genes and a high-throughput growth competition assay to measure fitness with unprecedented sensitivity. These tools dramatically increase the breadth and precision with which quantitative genetic analysis can be performed in yeast. We illustrate the value of these approaches by using genetic interactions to reveal new relationships between chromatin-modifying factors and to create a functional map of the proteasome. Finally, by measuring the fitness of strains in the yeast deletion library, we addressed an enigma regarding the apparent prevalence of gene dispensability and found that most genes do contribute to growth.
引用
收藏
页码:711 / 718
页数:8
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