Xin Xiaofeng, Rual Jean-François, Hirozane-Kishikawa Tomoko, Hill David E, Vidal Marc, Boone Charles, Thierry-Mieg Nicolas
Banting and Best Department of Medical Research and Department of Molecular Genetics, Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
Genome Res. 2009 Jul;19(7):1262-9. doi: 10.1101/gr.090019.108. Epub 2009 May 15.
"Smart-pooling," in which test reagents are multiplexed in a highly redundant manner, is a promising strategy for achieving high efficiency, sensitivity, and specificity in systems-level projects. However, previous applications relied on low redundancy designs that do not leverage the full potential of smart-pooling, and more powerful theoretical constructions, such as the Shifted Transversal Design (STD), lack experimental validation. Here we evaluate STD smart-pooling in yeast two-hybrid (Y2H) interactome mapping. We employed two STD designs and two established methods to perform ORFeome-wide Y2H screens with 12 baits. We found that STD pooling achieves similar levels of sensitivity and specificity as one-on-one array-based Y2H, while the costs and workloads are divided by three. The screening-sequencing approach is the most cost- and labor-efficient, yet STD identifies about twofold more interactions. Screening-sequencing remains an appropriate method for quickly producing low-coverage interactomes, while STD pooling appears as the method of choice for obtaining maps with higher coverage.
“智能池化”是一种在系统级项目中实现高效、灵敏和特异的很有前景的策略,其中测试试剂以高度冗余的方式进行多重化。然而,以前的应用依赖于低冗余设计,没有充分利用智能池化的全部潜力,而更强大的理论构建,如移位横向设计(STD),缺乏实验验证。在此,我们在酵母双杂交(Y2H)互作组图谱绘制中评估STD智能池化。我们采用两种STD设计和两种既定方法,对12个诱饵进行全开放阅读框Y2H筛选。我们发现,STD池化实现了与基于一对一阵列的Y2H相似的灵敏性和特异性水平,同时成本和工作量降低了三分之二。筛选测序方法是最具成本效益和劳动效率的方法,但STD识别出的相互作用数量多出约两倍。筛选测序仍然是快速生成低覆盖度互作组的合适方法,而STD池化似乎是获得更高覆盖度图谱的首选方法。