Ilina Polina, Ma Xiaochu, Sintim Herman O, Tammela Päivi
Drug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland.
Institute for Drug Discovery, Department of Chemistry, Purdue University Center for Cancer Research, Purdue University, United States.
J Microbiol Methods. 2018 Nov;154:40-45. doi: 10.1016/j.mimet.2018.10.005. Epub 2018 Oct 6.
The continuing emergence and spread of antibiotic-resistant bacteria is worrisome and new strategies to curb bacterial infections are being sought. The interference of bacterial quorum sensing (QS) signaling has been suggested as a prospective antivirulence strategy. The AI-2 QS system is present in multiple bacterial species and has been shown to be correlated with pathogenicity. To facilitate the discovery of novel compounds interfering with AI-2 QS, we established a high-throughput setup of whole-cell bioreporter assay, which can be performed in either 96- or 384-well format. Agonistic or antagonistic activities of the test compounds against Escherichia coli LsrB-type AI-2 QS system are monitored by measuring the level of β-galactosidase expression. A control strain expressing β-galactosidase in quorum sensing-independent manner is included into the assay for false-positive detection.
抗生素耐药细菌的持续出现和传播令人担忧,人们正在寻找抑制细菌感染的新策略。细菌群体感应(QS)信号干扰已被认为是一种潜在的抗毒力策略。AI-2 QS系统存在于多种细菌物种中,并已被证明与致病性相关。为了促进干扰AI-2 QS的新型化合物的发现,我们建立了一种全细胞生物报告基因检测的高通量方法,该方法可以在96孔或384孔板中进行。通过测量β-半乳糖苷酶表达水平来监测测试化合物对大肠杆菌LsrB型AI-2 QS系统的激动或拮抗活性。检测中包含一株以群体感应非依赖方式表达β-半乳糖苷酶的对照菌株,用于假阳性检测。