Institute of Molecular Biosciences, Mahidol University, Salaya, Nakhon Pathom, Thailand.
Division of Biological Sciences, University of California, San Diego, La Jolla, California, USA.
Antimicrob Agents Chemother. 2019 Mar 27;63(4). doi: 10.1128/AAC.02310-18. Print 2019 Apr.
An increasing number of multidrug-resistant (MDR-) infections have been reported worldwide, posing a threat to public health. The establishment of methods to elucidate the mechanism of action (MOA) of -specific antibiotics is needed to develop novel antimicrobial therapeutics with activity against MDR- We previously developed bacterial cytological profiling (BCP) to understand the MOA of compounds in and Given how distantly related is to these species, it was unclear to what extent it could be applied. Here, we implemented BCP as an antibiotic MOA discovery platform for We found that the BCP platform can distinguish among six major antibiotic classes and can also subclassify antibiotics that inhibit the same cellular pathway but have different molecular targets. We used BCP to show that the compound NSC145612 inhibits the growth of via targeting RNA transcription. We confirmed this result by isolating and characterizing resistant mutants with mutations in the gene. Altogether, we conclude that BCP provides a useful tool for MOA studies of antibacterial compounds that are active against .
越来越多的多药耐药性 (MDR-) 感染在全球范围内被报道,对公众健康构成威胁。需要建立阐明特定抗生素作用机制 (MOA) 的方法,以开发针对 MDR- 的新型抗菌治疗药物。我们之前开发了细菌细胞分析 (BCP) 来了解化合物在 和 中的 MOA。鉴于 与这些物种的亲缘关系如此之远,不清楚它可以在多大程度上适用。在这里,我们将 BCP 作为抗生素 MOA 发现平台用于 。我们发现,BCP 平台可以区分六大类抗生素,并且还可以对抑制相同细胞途径但具有不同分子靶标的抗生素进行亚分类。我们使用 BCP 表明,化合物 NSC145612 通过靶向 RNA 转录来抑制 的生长。我们通过分离和表征在 基因中发生突变的抗性突变体证实了这一结果。总的来说,我们得出结论,BCP 为针对 的抗菌化合物的 MOA 研究提供了有用的工具。