Literature DB >> 30858599

A multiplexable assay for screening antibiotic lethality against drug-tolerant bacteria.

Jonathan M Stokes1,2, Arnaud Gutierrez1,2,3, Allison J Lopatkin1,2,4, Ian W Andrews1,2,4, Shawn French5, Ivan Matic3,6, Eric D Brown5, James J Collins7,8,9,10.   

Abstract

Antibiotic screens typically rely on growth inhibition to characterize compound bioactivity-an approach that cannot be used to assess the bactericidal activity of antibiotics against bacteria in drug-tolerant states. To address this limitation, we developed a multiplexed assay that uses metabolism-sensitive staining to report on the killing of antibiotic-tolerant bacteria. This method can be used with diverse bacterial species and applied to genome-scale investigations to identify therapeutic targets against tolerant pathogens.

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Year:  2019        PMID: 30858599     DOI: 10.1038/s41592-019-0333-y

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  10 in total

Review 1.  Expanding the search for small-molecule antibacterials by multidimensional profiling.

Authors:  Karin Ortmayr; Roberto de la Cruz Moreno; Mattia Zampieri
Journal:  Nat Chem Biol       Date:  2022-05-23       Impact factor: 16.174

2.  Pareto optimality between growth-rate and lag-time couples metabolic noise to phenotypic heterogeneity in Escherichia coli.

Authors:  Diego Antonio Fernandez Fuentes; Pablo Manfredi; Urs Jenal; Mattia Zampieri
Journal:  Nat Commun       Date:  2021-05-28       Impact factor: 14.919

Review 3.  Bacterial Metabolism and Antibiotic Efficacy.

Authors:  Jonathan M Stokes; Allison J Lopatkin; Michael A Lobritz; James J Collins
Journal:  Cell Metab       Date:  2019-07-03       Impact factor: 27.287

4.  Combining CRISPRi and metabolomics for functional annotation of compound libraries.

Authors:  Miquel Anglada-Girotto; Gabriel Handschin; Karin Ortmayr; Adrian I Campos; Ludovic Gillet; Pablo Manfredi; Claire V Mulholland; Michael Berney; Urs Jenal; Paola Picotti; Mattia Zampieri
Journal:  Nat Chem Biol       Date:  2022-02-22       Impact factor: 16.174

5.  A polymeric approach toward resistance-resistant antimicrobial agent with dual-selective mechanisms of action.

Authors:  Silei Bai; Jianxue Wang; Kailing Yang; Cailing Zhou; Yangfan Xu; Junfeng Song; Yuanxin Gu; Zheng Chen; Min Wang; Carolyn Shoen; Brenda Andrade; Michael Cynamon; Kai Zhou; Hui Wang; Qingyun Cai; Eric Oldfield; Steven C Zimmerman; Yugang Bai; Xinxin Feng
Journal:  Sci Adv       Date:  2021-01-27       Impact factor: 14.136

Review 6.  Development and Research Progress of Anti-Drug Resistant Bacteria Drugs.

Authors:  Xiangyi Cui; Yuhong Lü; Changwu Yue
Journal:  Infect Drug Resist       Date:  2021-12-21       Impact factor: 4.003

7.  Interaction Tolerance Detection Test for Understanding the Killing Efficacy of Directional Antibiotic Combinations.

Authors:  Jia-Feng Liu; Orit Gefen; Zi-Yin Zhang; Min-Min Liu; Maskit Bar-Meir; Nathalie Q Balaban
Journal:  mBio       Date:  2022-02-15       Impact factor: 7.786

8.  Antibiotics: Combatting Tolerance To Stop Resistance.

Authors:  Etthel M Windels; Joran E Michiels; Bram Van den Bergh; Maarten Fauvart; Jan Michiels
Journal:  mBio       Date:  2019-09-10       Impact factor: 7.867

9.  Development of an efficient antimicrobial susceptibility testing method with species identification by Nanopore sequencing of 16S rRNA amplicons.

Authors:  Yuto Kawai; Naoya Ozawa; Takako Fukuda; Noriyuki Suzuki; Kazuki Mikata
Journal:  PLoS One       Date:  2022-02-03       Impact factor: 3.240

10.  A Deep Learning Approach to Antibiotic Discovery.

Authors:  Jonathan M Stokes; Kevin Yang; Kyle Swanson; Wengong Jin; Andres Cubillos-Ruiz; Nina M Donghia; Craig R MacNair; Shawn French; Lindsey A Carfrae; Zohar Bloom-Ackermann; Victoria M Tran; Anush Chiappino-Pepe; Ahmed H Badran; Ian W Andrews; Emma J Chory; George M Church; Eric D Brown; Tommi S Jaakkola; Regina Barzilay; James J Collins
Journal:  Cell       Date:  2020-02-20       Impact factor: 41.582

  10 in total

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