SYNTHETIC GENETIC ARRAY (SGA) ANALYSIS IN SACCHAROMYCES CEREVISIAE AND SCHIZOSACCHAROMYCES POMBE

被引:135
作者
Baryshnikova, Anastasia [1 ,2 ]
Costanzo, Michael [1 ,2 ]
Dixon, Scott [3 ]
Vizeacoumar, Franco J. [1 ,2 ]
Myers, Chad L. [4 ]
Andrews, Brenda [1 ,2 ]
Boone, Charles [1 ,2 ]
机构
[1] Univ Toronto, Banting & Best Dept Med Res, Toronto, ON, Canada
[2] Univ Toronto, Dept Mol Genet, Terrence Donnelly Ctr Cellular & Biomol Res, Toronto, ON, Canada
[3] Columbia Univ, Dept Biol Sci, New York, NY 10027 USA
[4] Univ Minnesota Twin Cities, Dept Comp Sci & Engn, Minneapolis, MN USA
来源
METHODS IN ENZYMOLOGY, VOL 470: GUIDE TO YEAST GENETICS:: FUNCTIONAL GENOMICS, PROTEOMICS, AND OTHER SYSTEMS ANALYSIS, 2ND EDITION | 2010年 / 470卷
关键词
ORDERED ARRAYS; YEAST; NETWORKS; GENOME; DELETION; EXPLORATION; ACTIVATION; REPOSITORY; INHIBITORS; EXPRESSION;
D O I
10.1016/S0076-6879(10)70007-0
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A genetic interaction occurs when the combination of two mutations leads to an unexpected phenotype. Screens for synthetic genetic interactions have been used extensively to identify genes whose products are functionally related. In particular, synthetic lethal genetic interactions often identify genes that buffer one another or impinge on the same essential pathway. For the yeast Saccharomyces cerevisiae, we developed a method termed synthetic genetic array (SGA) analysis, which offers an efficient approach for the systematic construction of double mutants and enables a global analysis of synthetic genetic interactions. In a typical SGA screen, a query mutation is crossed to an ordered array of similar to 5000 viable gene deletion mutants (representing similar to 80% of all yeast genes) such that meiotic progeny harboring both mutations can be scored for fitness defects. This approach can be extended to all similar to 6000 genes through the use of yeast arrays containing mutants carrying conditional or hypomorphic alleles of essential genes. Estimating the fitness for the two single mutants and their corresponding double mutant enables a quantitative measurement of genetic interactions, distinguishing negative (synthetic lethal) and positive (within pathway and suppression) interactions. The profile of genetic interactions represents a rich phenotypic signature for each gene and clustering genetic interaction profiles group genes into functionally relevant pathways and complexes. This array-based approach automates yeast genetic analysis in general and can be easily adapted for a number of different genetic screens or combined with high-content screening systems to quantify the activity of specific reporters in genome-wide sets of single or more complex multiple mutant backgrounds. Comparison of genetic and chemical-genetic interaction profiles offers the potential to link bioactive compounds to their targets. Finally, we also developed an SGA system for the fission yeast Schizosaccharomyces pombe, providing another model system for comparative analysis of genetic networks and testing the conservation of genetic networks over millions of years of evolution.
引用
收藏
页码:145 / 179
页数:35
相关论文
共 69 条
[41]  
LUCCHESI JC, 1968, GENETICS, V59, P37
[42]   Defining genetic interaction [J].
Mani, Ramamurthy ;
Onge, Robert P. St. ;
Hartman, John L. ;
Giaever, Guri ;
Roth, Frederick P. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (09) :3461-3466
[43]   The Shwachman-Bodian-Diamond syndrome protein mediates translational activation of ribosomes in yeast [J].
Menne, Tobias F. ;
Goyenechea, Beatriz ;
Sanchez-Puig, Nuria ;
Wong, Chi C. ;
Tonkin, Louise M. ;
Ancliff, Philip J. ;
Brost, Renee L. ;
Costanzo, Michael ;
Boone, Charles ;
Warren, Alan J. .
NATURE GENETICS, 2007, 39 (04) :486-495
[44]   Exploration of essential gene functions via titratable promoter alleles [J].
Mnaimneh, S ;
Davierwala, AP ;
Haynes, J ;
Moffat, J ;
Peng, WT ;
Zhang, W ;
Yang, XQ ;
Pootoolal, J ;
Chua, G ;
Lopez, A ;
Trochesset, M ;
Morse, D ;
Krogan, NJ ;
Hiley, SL ;
Li, ZJ ;
Morris, Q ;
Grigull, J ;
Mitsakakis, N ;
Roberts, CJ ;
Greenblatt, JF ;
Boone, C ;
Kaiser, CA ;
Andrews, BJ ;
Hughes, TR .
CELL, 2004, 118 (01) :31-44
[45]   Finding function: evaluation methods for functional genomic data [J].
Myers, Chad L. ;
Barrett, Daniel R. ;
Hibbs, Matthew A. ;
Huttenhower, Curtis ;
Troyanskaya, Olga G. .
BMC GENOMICS, 2006, 7 (1)
[46]   Systematic profiling of cellular phenotypes with spotted cell microarrays reveals mating-pheromone response genes [J].
Narayanaswamy, R ;
Niu, W ;
D Scouras, A ;
Hart, GT ;
Davies, J ;
Ellington, AD ;
Iyer, VR ;
Marcotte, EM .
GENOME BIOLOGY, 2006, 7 (01)
[47]   A DNA integrity network in the yeast Saccharomyces cerevisiae [J].
Pan, XW ;
Ye, P ;
Yuan, DS ;
Wang, XL ;
Bader, JS ;
Boeke, JD .
CELL, 2006, 124 (05) :1069-1081
[48]   A robust toolkit for functional profiling of the yeast genome [J].
Pan, XW ;
Yuan, DS ;
Xiang, D ;
Wang, XL ;
Sookhai-Mahadeo, S ;
Bader, JS ;
Hieter, P ;
Spencer, F ;
Boeke, JD .
MOLECULAR CELL, 2004, 16 (03) :487-496
[49]   Integration of chemical-genetic and genetic interaction data links bioactive compounds to cellular target pathways [J].
Parsons, AB ;
Brost, RL ;
Ding, HM ;
Li, ZJ ;
Zhang, CY ;
Sheikh, B ;
Brown, GW ;
Kane, PM ;
Hughes, TR ;
Boone, C .
NATURE BIOTECHNOLOGY, 2004, 22 (01) :62-69
[50]   High-throughput genetic interaction mapping in the fission yeast Schizosaccharomyces pombe [J].
Roguev, Assen ;
Wiren, Marianna ;
Weissman, Jonathan S. ;
Krogan, Nevan J. .
NATURE METHODS, 2007, 4 (10) :861-866