Kulkarni Mahesh J, Vinod V P, Umasankar P K, Patole Milind S, Rao Mala
Division of Organic Chemistry Synthesis, National Chemical Laboratory, Pune 411 008, India.
Rapid Commun Mass Spectrom. 2006;20(18):2769-72. doi: 10.1002/rcm.2675.
Here we demonstrate for the first time the application of intact cell matrix-assisted laser desorption/ionization mass spectrometry (ICM-MS) to study the regulation of protein expression. This technique can be extended to screen the drugs that inhibit protein synthesis in various diseases. We have used Escherichia coli cells expressing a recombinant glutathione-S-transferase (GST) gene under an arabinose-inducible promoter as a model system. Using ICM-MS analysis, we have detected a 28 kDa peak corresponding to the production of recombinant GST under the arabinose-induced condition. Furthermore, recombinant GST protein was purified by a single-step affinity purification using a glutathione Sepharose 4B affinity column from arabinose-induced E. coli cells. The purified GST protein was found to be a 28 kDa protein by MALDI analysis suggesting the arabinose-induced protein is indeed GST. The regulation of protein expression was studied using glucose as an alternative metabolite. The glucose-mediated regulation of the ara-operon was followed using the ICM-MS technique. All the results obtained from ICM-MS data were validated using sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) analysis. The present technique can be extended for in vivo screening of drugs and it holds tremendous potential to discover novel drugs against specific protein expressions in different diseases.
在此,我们首次展示了完整细胞基质辅助激光解吸/电离质谱法(ICM-MS)在研究蛋白质表达调控方面的应用。该技术可扩展用于筛选抑制各种疾病中蛋白质合成的药物。我们使用了在阿拉伯糖诱导型启动子下表达重组谷胱甘肽-S-转移酶(GST)基因的大肠杆菌细胞作为模型系统。通过ICM-MS分析,我们在阿拉伯糖诱导条件下检测到了一个对应于重组GST产生的28 kDa峰。此外,使用谷胱甘肽琼脂糖4B亲和柱从阿拉伯糖诱导的大肠杆菌细胞中通过一步亲和纯化法纯化了重组GST蛋白。通过基质辅助激光解吸电离飞行时间质谱(MALDI)分析发现纯化的GST蛋白为28 kDa蛋白,表明阿拉伯糖诱导的蛋白确实是GST。使用葡萄糖作为替代代谢物研究了蛋白质表达的调控。使用ICM-MS技术追踪了葡萄糖介导的阿拉伯糖操纵子调控。通过十二烷基硫酸钠聚丙烯酰胺凝胶电泳(SDS-PAGE)分析对从ICM-MS数据获得的所有结果进行了验证。本技术可扩展用于体内药物筛选,并且在发现针对不同疾病中特定蛋白质表达的新型药物方面具有巨大潜力。