Ooi Siew Loon, Shoemaker Daniel D, Boeke Jef D
Department of Molecular Biology & Genetics, The Johns Hopkins University School of Medicine, 617 Hunterian Building, 725 North Wolfe Street, Baltimore, Maryland 21205, USA.
Nat Genet. 2003 Nov;35(3):277-86. doi: 10.1038/ng1258. Epub 2003 Oct 19.
We describe a new synthetic lethality analysis by microarray (SLAM) technique that uses approximately 4,600 Saccharomyces cerevisiae haploid deletion mutants with molecular 'bar codes' (TAGs). We used SGS1 and SRS2, two 3'-->5' DNA helicase genes, as 'queries' to identify their redundant and unique biological functions. We introduced these 'query mutations' into a haploid deletion pool by integrative transformation to disrupt the query gene in every cell, generating a double mutant pool. Optimization of integrative transformation efficiency was essential to the success of SLAM. Synthetic interactions defined a DNA helicase genetic network and predicted a role for SRS2 in processing damaged replication forks but, unlike SGS1, not in rDNA replication, DNA topology or lagging strand synthesis. SGS1 and SRS2 have synthetic defects with MRC1 but not RAD9, suggesting that SGS1 and SRS2 function in a parallel pathway with MRC1 to transduce the DNA replication stress signal to the general DNA damage checkpoint pathway. Both helicase genes have rad51-reversible synthetic defects with 5'-->3' DNA helicase RRM3, suggesting that RRM3 helps prevent formation of toxic recombination intermediates. SLAM detects synthetic lethality efficiently and ranks candidate genetic interactions, making it an especially useful method.
我们描述了一种新的利用微阵列进行合成致死分析(SLAM)的技术,该技术使用了约4600个带有分子“条形码”(TAGs)的酿酒酵母单倍体缺失突变体。我们使用SGS1和SRS2这两个3'→5' DNA解旋酶基因作为“查询基因”,以确定它们冗余和独特的生物学功能。我们通过整合转化将这些“查询突变”引入单倍体缺失文库,从而在每个细胞中破坏查询基因,生成一个双突变文库。整合转化效率的优化对于SLAM的成功至关重要。合成相互作用定义了一个DNA解旋酶遗传网络,并预测SRS2在处理受损复制叉中起作用,但与SGS1不同的是,它在rDNA复制、DNA拓扑结构或滞后链合成中不起作用。SGS1和SRS2与MRC1存在合成缺陷,但与RAD9不存在,这表明SGS1和SRS2与MRC1在一条平行途径中发挥作用,将DNA复制应激信号传导至一般DNA损伤检查点途径。这两个解旋酶基因与5'→3' DNA解旋酶RRM3均存在rad51可逆的合成缺陷,这表明RRM3有助于防止有毒重组中间体的形成。SLAM能高效检测合成致死性并对候选遗传相互作用进行排序,使其成为一种特别有用的方法。