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通过条形码酵母菌株的平行分析鉴定化学-基因相互作用。

Identification of Chemical-Genetic Interactions via Parallel Analysis of Barcoded Yeast Strains.

作者信息

Suresh Sundari, Schlecht Ulrich, Xu Weihong, Miranda Molly, Davis Ronald W, Nislow Corey, Giaever Guri, St Onge Robert P

机构信息

Stanford Genome Technology Center, Department of Biochemistry, Stanford University, Palo Alto, California 94304;

Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada.

出版信息

Cold Spring Harb Protoc. 2016 Sep 1;2016(9):2016/9/pdb.prot088054. doi: 10.1101/pdb.prot088054.

Abstract

The Yeast Knockout Collection is a complete set of gene deletion strains for the budding yeast, Saccharomyces cerevisiae In each strain, one of approximately 6000 open-reading frames is replaced with a dominant selectable marker flanked by two DNA barcodes. These barcodes, which are unique to each gene, allow the growth of thousands of strains to be individually measured from a single pooled culture. The collection, and other resources that followed, has ushered in a new era in chemical biology, enabling unbiased and systematic identification of chemical-genetic interactions (CGIs) with remarkable ease. CGIs link bioactive compounds to biological processes, and hence can reveal the mechanism of action of growth-inhibitory compounds in vivo, including those of antifungal, antibiotic, and anticancer drugs. The chemogenomic profiling method described here measures the sensitivity induced in yeast heterozygous and homozygous deletion strains in the presence of a chemical inhibitor of growth (termed haploinsufficiency profiling and homozygous profiling, respectively, or HIPHOP). The protocol is both scalable and amenable to automation. After competitive growth of yeast knockout collection cultures, with and without chemical inhibitors, CGIs can be identified and quantified using either array- or sequencing-based approaches as described here.

摘要

酵母基因敲除文库是一套完整的酿酒酵母基因缺失菌株。在每个菌株中,大约6000个开放阅读框中的一个被一个显性选择标记所取代,该标记两侧是两个DNA条形码。这些条形码对每个基因都是独一无二的,使得可以从单个混合培养物中单独测量数千个菌株的生长情况。该文库以及随后的其他资源开创了化学生物学的新纪元,能够轻松地对化学-遗传相互作用(CGIs)进行无偏差和系统性的鉴定。CGIs将生物活性化合物与生物过程联系起来,因此可以揭示体内生长抑制化合物的作用机制,包括抗真菌、抗生素和抗癌药物的作用机制。这里描述的化学基因组分析方法测量在存在生长化学抑制剂的情况下酵母杂合和纯合缺失菌株中诱导的敏感性(分别称为单倍体不足分析和纯合分析,或HIPHOP)。该方案既具有可扩展性又适合自动化。在有和没有化学抑制剂的情况下对酵母基因敲除文库培养物进行竞争性生长后,可以使用这里描述的基于阵列或测序的方法来鉴定和定量CGIs。

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