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Synthetic genetic array
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Synthetic genetic array : ウィキペディア英語版
Synthetic genetic array
Synthetic Genetic Array analysis (SGA) is a high-throughput technique for exploring synthetic lethal and synthetic sick genetic interactions (SSL). SGA allows for the systematic construction of double mutants using a combination of 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 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. 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. Methodology has since been developed to allow SGA analysis in ''S.pombe'' and ''E.coli''.
==Background==
Synthetic Genetic Array analysis was initially developed by Tong et al.〔 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.〔 http://sequence-www.stanford.edu/group yeast_deletion_project/deletions3.html〕

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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