Olry Alexandre, Schneider-Belhaddad Florence, Heintz Dimitri, Werck-Reichhart Danièle
Department of Plant Metabolic Responses, Institute of Plant Molecular Biology CNRS-UPR 2357, Université de Strasbourg, Strasbourg, France.
Plant J. 2007 Jul;51(2):331-40. doi: 10.1111/j.1365-313X.2007.03140.x.
A challenge of the post-genomic era is to determine the functions of a plethora of orphan genes. This is a more acute problem when dealing with large gene families, such as the superfamily encoding cytochrome P450 enzymes in higher plants. We propose here a new, simple, medium-throughput methodology to screen for potential substrates of orphan P450 mono-oxygenases. The same technique can also be applied to screening for inhibitors of the oxygenases involved in the biosynthesis of compounds essential for plant development, such as growth regulators. The method is based on a commercially available microplate system, which detects the oxygen consumed by the catalytic reaction via an oxygen-sensing fluorophore. It is optimized using as a model CYP73A1, the cinnamic acid hydroxylase from Helianthus tuberosus, expressed in yeast. We show that the procedure is suitable not only for the detection and real-time monitoring, but also for the quantitative evaluation of enzyme activity. This new method has broad application for the identification of candidate substrates and inhibitors in chemical libraries, to support determination of physiological substrates, development of plant growth regulators, investigations on herbicide and pollutant metabolism, synthesis of valuable compounds and drug design. It also provides a fast-assay platform for determination of catalytic and inhibition parameters. The method applies to plant P450 enzymes, but also to cytochromes P450 from other organisms, and all types of oxygenases. The critical steps, calculation of oxygen consumption from fluorescence signal, and limits of the methods are discussed.
后基因组时代面临的一项挑战是确定大量孤儿基因的功能。在处理大型基因家族时,这个问题更为严峻,比如高等植物中编码细胞色素P450酶的超家族。我们在此提出一种新的、简单的、中等通量的方法,用于筛选孤儿P450单加氧酶的潜在底物。同样的技术也可用于筛选参与植物发育必需化合物(如生长调节剂)生物合成的加氧酶的抑制剂。该方法基于一种市售的微孔板系统,通过氧敏感荧光团检测催化反应消耗的氧气。以在酵母中表达的来自菊芋的肉桂酸羟化酶CYP73A1作为模型进行优化。我们表明该程序不仅适用于酶活性的检测和实时监测,还适用于酶活性的定量评估。这种新方法在化学文库中鉴定候选底物和抑制剂方面具有广泛应用,有助于确定生理底物、开发植物生长调节剂、研究除草剂和污染物代谢、合成有价值的化合物以及药物设计。它还为确定催化和抑制参数提供了一个快速检测平台。该方法不仅适用于植物P450酶,也适用于其他生物的细胞色素P450以及所有类型的加氧酶。文中讨论了从荧光信号计算氧气消耗的关键步骤以及该方法的局限性。