Brötz-Oesterhelt Heike, Bandow Julia Elisabeth, Labischinski Harald
Bayer HealthCare AG, Anti-infective Research, Wuppertal, Germany.
Mass Spectrom Rev. 2005 Jul-Aug;24(4):549-65. doi: 10.1002/mas.20030.
Gene-expression profiling technologies in general, and proteomic technologies in particular have proven extremely useful to study the physiological response of bacterial cells to various environmental stress conditions. Complex protein toolkits coordinated by sophisticated regulatory networks have evolved to accommodate bacterial survival under ever-present stress conditions such as varying temperatures, nutrient availability, or antibiotics produced by other microorganisms that compete for habitat. In the last decades, application of man-made antibacterial agents resulted in additional bacterial exposure to antibiotic stress. Whereas the targeted use of antibiotics has remarkably reduced human suffering from infectious diseases, the ever-increasing emergence of bacteria that are resistant to antibiotics has led to an urgent need for novel antibiotic strategies. The intent of this review is to present an overview of the major achievements of proteomic approaches to study adaptation networks that are crucial for bacterial survival with a special emphasis on the stress induced by antibiotic treatment. A further focus will be the review of the, so far few, published efforts to exploit the knowledge derived from bacterial proteomic studies directly for the antibacterial drug-discovery process.
一般而言,基因表达谱分析技术,特别是蛋白质组学技术,已被证明在研究细菌细胞对各种环境应激条件的生理反应方面极为有用。由复杂调控网络协调的复杂蛋白质工具包已经进化出来,以适应细菌在不断出现的应激条件下生存,如不同的温度、营养可用性,或其他争夺栖息地的微生物产生的抗生素。在过去几十年中,人造抗菌剂的应用导致细菌额外暴露于抗生素应激。虽然抗生素的靶向使用显著减少了人类因传染病而遭受的痛苦,但对抗生素耐药的细菌不断出现,迫切需要新的抗生素策略。本综述的目的是概述蛋白质组学方法在研究对细菌生存至关重要的适应网络方面的主要成就,特别强调抗生素治疗引起的应激。另一个重点将是回顾迄今为止为数不多的已发表的努力,即直接利用从细菌蛋白质组学研究中获得的知识用于抗菌药物发现过程。