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| pmid = 11743205
| pmc =
| bibcode = 2001Sci...294.2364T
| s2cid = 6505287
}}</ref> SGA allows for the systematic construction of double mutants using a combination of [[Recombinant DNA|recombinant genetic techniques]], mating and selection steps. Using SGA methodology a query gene deletion mutant can be crossed to an entire genome deletion set to identify any [[synthetic lethality|SSL]] interactions, yielding functional information of the query gene and the genes it interacts with. A large-scale application of SGA in which ~130 query genes were crossed to the set of ~5000 viable deletion mutants in yeast revealed a genetic network containing ~1000 genes and ~4000 SSL interactions.<ref>{{Cite journal
| last1 = Tong | first1 = A. H. Y.
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| pmid = 14764870
| pmc =
| bibcode = 2004Sci...303..808T
| s2cid = 11465508
}}</ref> The results of this study showed that genes with similar function tend to interact with one another and genes with similar patterns of genetic interactions often encode products that tend to work in the same pathway or complex. Synthetic Genetic Array analysis was initially developed using the model organism ''[[S. cerevisiae]]''. This method has since been extended to cover 30% of the ''S. cerevisiae'' genome.<ref>{{Cite journal
| last1 = Costanzo | first1 = M.
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| pmid = 20093466
| pmc = 5600254
| bibcode = 2010Sci...327..425C
}}</ref> Methodology has since been developed to allow SGA analysis in ''[[Schizosaccharomyces pombe|S.pombe]]''<ref>{{Cite journal
| last1 = Roguev | first1 = A.
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| pmid = 17893680
| pmc =
| s2cid = 21870145
}}</ref><ref>{{Cite journal
| last1 = Dixon | first1 = S. J.
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| pmid = 18931302
| pmc =2575475
| bibcode = 2008PNAS..10516653D
| doi-access = free
}}</ref> and ''E. coli''.<ref>{{Cite journal
| doi = 10.1038/nmeth.1240
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| pmc =
| s2cid = 205418664
}}</ref>
 
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==Background==
Synthetic genetic array analysis was initially developed by Tong et al.<ref name="H. Tong 2001"/> in 2001 and has since been used by many groups working in a wide range of biomedical fields. SGA utilizes the entire genome yeast knock-out set created by the yeast genome deletion project.<ref>{{cite web|url=http://www-sequence.stanford.edu/group/yeast_deletion_project/deletions3.html|title=''Saccharomyces'' Genome Deletion Project|work=}}</ref>
 
==Procedure==
Synthetic genetic array analysis is generally conducted using colony arrays on petriplates at standard densities (96, 384, 768, 1536). To perform a SGA analysis in ''S.cerevisaecerevisiae'', the query gene deletion is crossed systematically with a deletion mutant array (DMA) containing every viable knockout [[Open reading frame|ORF]] of the yeast genome (currently 4786 strains).<ref>{{cite web|title=Yeast Knockout Strains
|url=http://www.openbiosystems.com/GeneExpression/Yeast/YKO/|archiveurl=https://web.archive.org/web/20111119012937/http://www.openbiosystems.com/GeneExpression/Yeast/YKO/|archivedate=November 19, 2011 |work=Open Biosystems}}</ref> The resulting [[diploids]] are then sporulated by transferring to a media containing reduced nitrogen. The [[haploid]] progeny are then put through a series of selection platings and incubations to select for double mutants. The double mutants are screened for SSL interactions visually or using imaging software by assessing the size of the resulting colonies.
 
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Due to the large number of precise replication steps in SGA analysis, robots are widely used to perform the colony manipulations. There are a few systems specifically designed for SGA analysis, which greatly decrease the time to analyse a query gene. Generally these have a series of pins which are used to transfer cells to and from plates, with one system utilizing disposable pads of pins to eliminate washing cycles. Computer programs can be used to analyze the colony sizes from images of the plates thus automating the SGA scoring and chemical-genetics profiling.
 
== StepSteps for a yeast high content genome-wide genetic screening system (SGA golden -road map) ==
There are six major components :
 
# Mutant collection
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# Data analysis tools
 
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==See also==
*[[Tetrad (genetics)]]