Göttert Hendrikje, Mattiazzi Usaj Mojca, Rosebrock Adam P, Andrews Brenda J
The Donnelly Centre, University of Toronto, 160 College St., Toronto, ON, M5S 3E1, Canada.
Department of Molecular Genetics, University of Toronto, 1 Kings College Circle, Toronto, ON, M5S 3E1, Canada.
Methods Mol Biol. 2018;1672:613-629. doi: 10.1007/978-1-4939-7306-4_40.
Fluorescent reporter genes have long been used to quantify various cell features such as transcript and protein abundance. Here, we describe a method, reporter synthetic genetic array (R-SGA) analysis, which allows for the simultaneous quantification of any fluorescent protein readout in thousands of yeast strains using an automated pipeline. R-SGA combines a fluorescent reporter system with standard SGA analysis and can be used to examine any array-based strain collection available to the yeast community. This protocol describes the R-SGA methodology for screening different arrays of yeast mutants including the deletion collection, a collection of temperature-sensitive strains for the assessment of essential yeast genes and a collection of inducible overexpression strains. We also present an alternative pipeline for the analysis of R-SGA output strains using flow cytometry of cells in liquid culture. Data normalization for both pipelines is discussed.
荧光报告基因长期以来一直用于量化各种细胞特征,如转录本和蛋白质丰度。在此,我们描述了一种方法,即报告基因合成遗传阵列(R-SGA)分析,该方法允许使用自动化流程同时量化数千个酵母菌株中任何荧光蛋白的读数。R-SGA将荧光报告系统与标准SGA分析相结合,可用于检查酵母群体可获得的任何基于阵列的菌株集合。本方案描述了用于筛选不同酵母突变体阵列的R-SGA方法,包括缺失突变体集合、用于评估酵母必需基因的温度敏感菌株集合以及诱导型过表达菌株集合。我们还提出了一种使用液体培养细胞的流式细胞术分析R-SGA输出菌株的替代流程。讨论了两种流程的数据归一化。