Fleming Michael S, Gitler Aaron D
Neuroscience Graduate Group, University of Pennsylvania School of Medicine, USA.
J Vis Exp. 2011 Jul 27(53):2836. doi: 10.3791/2836.
The budding yeast, Saccharomyces cerevisiae, is a powerful model system for defining fundamental mechanisms of many important cellular processes, including those with direct relevance to human disease. Because of its short generation time and well-characterized genome, a major experimental advantage of the yeast model system is the ability to perform genetic screens to identify genes and pathways that are involved in a given process. Over the last thirty years such genetic screens have been used to elucidate the cell cycle, secretory pathway, and many more highly conserved aspects of eukaryotic cell biology (1-5). In the last few years, several genomewide libraries of yeast strains and plasmids have been generated (6-10). These collections now allow for the systematic interrogation of gene function using gain- and loss-of-function approaches (11-16). Here we provide a detailed protocol for the use of a high-throughput yeast transformation protocol with a liquid handling robot to perform a plasmid overexpression screen, using an arrayed library of 5,500 yeast plasmids. We have been using these screens to identify genetic modifiers of toxicity associated with the accumulation of aggregation-prone human neurodegenerative disease proteins. The methods presented here are readily adaptable to the study of other cellular phenotypes of interest.
出芽酵母,即酿酒酵母,是一种强大的模型系统,可用于定义许多重要细胞过程的基本机制,包括那些与人类疾病直接相关的过程。由于其短的世代时间和特征明确的基因组,酵母模型系统的一个主要实验优势是能够进行遗传筛选,以鉴定参与特定过程的基因和途径。在过去三十年中,此类遗传筛选已被用于阐明细胞周期、分泌途径以及真核细胞生物学中更多高度保守的方面(1-5)。在过去几年中,已经构建了几个酵母菌株和质粒的全基因组文库(6-10)。这些文库现在允许使用功能获得和功能丧失方法对基因功能进行系统研究(11-16)。在这里,我们提供了一个详细的方案,用于使用液体处理机器人的高通量酵母转化方案,以使用一个包含5500个酵母质粒的阵列文库进行质粒过表达筛选。我们一直在使用这些筛选来鉴定与易聚集的人类神经退行性疾病蛋白积累相关的毒性的遗传修饰因子。这里介绍的方法很容易适用于研究其他感兴趣的细胞表型。