Chemogenetic fingerprinting by analysis of cellular growth dynamics.

Jonas Warringer, Dragi Anevski, Beidong Liu, Anders Blomberg
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引用次数: 45

Abstract

Background: A fundamental goal in chemical biology is the elucidation of on- and off-target effects of drugs and biocides. To this aim chemogenetic screens that quantify drug induced changes in cellular fitness, typically taken as changes in composite growth, is commonly applied.

Results: Using the model organism Saccharomyces cerevisiae we here report that resolving cellular growth dynamics into its individual components, growth lag, growth rate and growth efficiency, increases the predictive power of chemogenetic screens. Both in terms of drug-drug and gene-drug interactions did the individual growth variables capture distinct and only partially overlapping aspects of cell physiology. In fact, the impact on cellular growth dynamics represented functionally distinct chemical fingerprints.

Discussion: Our findings suggest that the resolution and quantification of all facets of growth increases the informational and interpretational output of chemogenetic screening. Hence, by facilitating a physiologically more complete analysis of gene-drug and drug-drug interactions the here reported results may simplify the assignment of mode-of-action to orphan bioactive compounds.

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细胞生长动力学分析的化学发生指纹图谱。
背景:化学生物学的一个基本目标是阐明药物和杀菌剂的靶标和脱靶效应。为此目的,通常应用化学遗传学筛选,量化药物诱导的细胞适应性变化,通常被视为复合生长的变化。结果:利用模式生物酿酒酵母,将细胞生长动力学分解为其单独的组成部分,生长滞后,生长速率和生长效率,增加了化学发生筛选的预测能力。就药物-药物和基因-药物相互作用而言,个体生长变量捕获了细胞生理学的不同且仅部分重叠的方面。事实上,对细胞生长动力学的影响表现为功能上不同的化学指纹。讨论:我们的研究结果表明,生长的所有方面的分辨率和量化增加了化学发生筛选的信息和解释输出。因此,通过促进对基因-药物和药物-药物相互作用的生理更完整的分析,本文报道的结果可能简化对孤儿生物活性化合物的作用方式的分配。
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