Roger Adams Laboratory, Department of Chemistry, University of Illinois, Urbana, IL, USA.
Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana, IL, USA.
Nat Protoc. 2021 Oct;16(10):4833-4854. doi: 10.1038/s41596-021-00598-y. Epub 2021 Sep 3.
Novel classes of broad-spectrum antibiotics have been extremely difficult to discover, largely due to the impermeability of the Gram-negative membranes coupled with a poor understanding of the physicochemical properties a compound should possess to promote its accumulation inside the cell. To address this challenge, numerous methodologies for assessing intracellular compound accumulation in Gram-negative bacteria have been established, including classic radiometric and fluorescence-based methods. The recent development of accumulation assays that utilize liquid chromatography-tandem mass spectrometry (LC-MS/MS) have circumvented the requirement for labeled compounds, enabling assessment of a substantially broader range of small molecules. Our unbiased study of accumulation trends in Escherichia coli using an LC-MS/MS-based assay led to the development of the eNTRy rules, which stipulate that a compound is most likely to accumulate in E. coli if it has an ionizable Nitrogen, has low Three-dimensionality and is relatively Rigid. To aid in the implementation of the eNTRy rules, we developed a complementary web tool, eNTRyway, which calculates relevant properties and predicts compound accumulation. Here we provide a comprehensive protocol for analysis and prediction of intracellular accumulation of small molecules in E. coli using an LC-MS/MS-based assay (which takes ~2 d) and eNTRyway, a workflow that is readily adoptable by any microbiology, biochemistry or chemical biology laboratory.
新型广谱抗生素的发现极其困难,这主要是由于革兰氏阴性细胞膜的不透性以及对化合物应具有哪些理化特性才能促进其在细胞内积累的理解不足所致。为了应对这一挑战,已经建立了许多评估革兰氏阴性细菌中细胞内化合物积累的方法,包括经典的放射性和荧光方法。最近开发的利用液相色谱-串联质谱(LC-MS/MS)的积累测定法避免了对标记化合物的需求,从而能够评估范围更广的小分子。我们使用基于 LC-MS/MS 的测定法对大肠杆菌积累趋势进行的无偏研究导致了 eNTRy 规则的发展,该规则规定,如果化合物具有可电离的氮,低三维度和相对刚性,则最有可能在大肠杆菌中积累。为了帮助实施 eNTRy 规则,我们开发了一个互补的网络工具 eNTRyway,该工具可计算相关特性并预测化合物积累。在这里,我们提供了一种使用基于 LC-MS/MS 的测定法(大约需要 2 天)和 eNTRyway 分析和预测大肠杆菌中小分子细胞内积累的综合方案,该工作流程易于任何微生物学,生物化学或化学生物学实验室采用。