Freschi Luca, Torres-Quiroz Francisco, Dubé Alexandre K, Landry Christian R
Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Canada.
Mol Biosyst. 2013 Jan 27;9(1):36-43. doi: 10.1039/c2mb25265a. Epub 2012 Oct 25.
One of the most important challenges in systems biology is to understand how cells respond to genetic and environmental perturbations. Here we show that the yeast DHFR-PCA, coupled with high-resolution growth profiling (DHFR-qPCA), is a straightforward assay to study the modulation of protein-protein interactions (PPIs) in vivo as a response to genetic, metabolic and drug perturbations. Using the canonical Protein Kinase A (PKA) pathway as a test system, we show that changes in PKA activity can be measured in living cells as a modulation of the interaction between its regulatory (Bcy1) and catalytic (Tpk1 and Tpk2) subunits in response to changes in carbon metabolism, caffeine and methyl methanesulfonate (MMS) treatments and to modifications in the dosage of its enzymatic regulators, the phosphodiesterases. Our results show that the DHFR-qPCA is easily implementable and amenable to high-throughput. The DHFR-qPCA will pave the way to the study of the effects of drug, genetic and environmental perturbations on in vivo PPI networks, thus allowing the exploration of new spaces of the eukaryotic interactome.
系统生物学中最重要的挑战之一是理解细胞如何对基因和环境扰动做出反应。在此,我们表明,酵母二氢叶酸还原酶-蛋白质互补分析(DHFR-PCA)与高分辨率生长谱分析(DHFR-qPCA)相结合,是一种直接的分析方法,用于研究体内蛋白质-蛋白质相互作用(PPI)作为对基因、代谢和药物扰动的反应的调节。使用典型的蛋白激酶A(PKA)途径作为测试系统,我们表明,PKA活性的变化可以在活细胞中作为其调节亚基(Bcy1)和催化亚基(Tpk1和Tpk2)之间相互作用的调节来测量,以响应碳代谢、咖啡因和甲磺酸甲酯(MMS)处理的变化以及其酶调节剂磷酸二酯酶剂量的改变。我们的结果表明,DHFR-qPCA易于实施且适合高通量分析。DHFR-qPCA将为研究药物、基因和环境扰动对体内PPI网络的影响铺平道路,从而允许探索真核生物相互作用组的新领域。