Two low complexity ultra-high throughput methods to identify diverse chemically bioactive molecules using Saccharomyces cerevisiae

被引:6
|
作者
Petrovic, Katarina [1 ,3 ]
Pfeifer, Martin [1 ]
Parker, Christian N. [1 ]
Schuierer, Sven [1 ]
Tallarico, John [2 ]
Hoepfner, Dominic [1 ]
Movva, N. Rao [1 ]
Scheel, Gunther [1 ]
Helliwell, Stephen B. [1 ]
机构
[1] Novartis AG, Novartis Inst Biomed Res, Basel, Switzerland
[2] Novartis AG, Novartis Inst Biomed Res, Cambridge, MA USA
[3] PIQUR Therapeut AG, CH-4057 Basel, Switzerland
关键词
AlamarBlue (R); Optical density; Yeast; High throughput screening; REPORTER-GENE ASSAYS; CELL VIABILITY; ALAMAR BLUE; YEAST; IDENTIFICATION; INHIBITOR; VALIDATION; RESISTANCE; TARGET; FK506;
D O I
10.1016/j.micres.2017.02.004
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The budding yeast S. cerevisiae is widely used as a eukaryotic model organism to elucidate the mechanism of action of low molecular weight compounds. This report describes the development of two high throughput screening methods based on cell viability either by monitoring the reduction of alamarBlue (R) (resazurin) or by direct optical measurement of cell growth. Both methods can be miniaturized to allow screening of large numbers of samples, and can be performed using S. cerevisiae in 384 and 1536-well format. The alamarBlue (R) approach achieves Z' values of >0.7 with signal to basal ratios of >6.5, and around 1.1 million low molecular weight compounds were screened, identifying approximately 25,000 primary hits. Dose response curves generated for a subset (1930) using both alamarBlue (R) and optical density methods showed significant overlap. In genome-wide haploinsufficiency profiling (HIP), 572 of these hits demonstrated a diverse mechanism of action, affecting >25% of all yeast strains. (C) 2017 Elsevier GmbH. All rights reserved.
引用
收藏
页码:10 / 18
页数:9
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