An LC-MS/MS assay and complementary web-based tool to quantify and predict compound accumulation in E. coli.
An LC-MS/MS assay and complementary web-based tool to quantify and predict compound accumulation in E. coli.
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LC-MS/MS 测定和基于网络的补充工具,用于量化和预测大肠杆菌中的化合物积累。
DOI:
10.1038/s41596-021-00598-y
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发表时间:
2021-10
期刊:
影响因子:
14.8
通讯作者:
Hergenrother PJ
中科院分区:
文献类型:
--
作者:
Geddes EJ;Li Z;Hergenrother PJ
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.
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影响因子:
5.3
作者:
Perlmutter SJ;Geddes EJ;Drown BS;Motika SE;Lee MR;Hergenrother PJ
通讯作者:
Hergenrother PJ
影响因子:
4
作者:
Davis, Tony D.;Gerry, Christopher J.;Tan, Derek S.
通讯作者:
Tan, Derek S.
影响因子:
2.7
作者:
Li, Yangxiong;Gardner, Jessi J.;Duerfeldt, Adam S.
通讯作者:
Duerfeldt, Adam S.
影响因子:
5.2
作者:
de Cristobal, Ricardo E.;Vincent, Paula A.;Salomon, Raul A.
通讯作者:
Salomon, Raul A.
影响因子:
4.9
作者:
Krishnamoorthy, Ganesh;Wolloscheck, David;Zgurskaya, Helen I.
通讯作者:
Zgurskaya, Helen I.