Evidence map›Paper›PMID 30858599›Full record

ArticleNature methods2019

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

Jonathan M Stokes, Arnaud Gutierrez, Allison J Lopatkin, Ian W Andrews, Shawn French, Ivan Matic, Eric D Brown, James J Collins

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Thermal Shifts Dominate Single-Gene Responses to Transcription-Targeting Antibiotics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Metabolic perturbation reduces antibiotic tolerance inMicrobiology (Reading, England) · 2026
    Article
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  10. Understanding tolerance to cell wall-active antibiotics.Annals of the New York Academy of Sciences · 2021
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jonathan M StokesInstitute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA.
Arnaud GutierrezInstitute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-9512-0659
Allison J LopatkinInstitute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA.
Ian W AndrewsInstitute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA.
Shawn FrenchMichael G. DeGroote Institute for Infectious Disease Research, Department of Biochemistry & Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada.ORCID http://orcid.org/0000-0002-3565-8385
Ivan MaticInserm U1001, Faculté de Médecine Paris Descartes, Université Paris Descartes, Sorbonne Paris Cité, Paris, France.
Eric D BrownMichael G. DeGroote Institute for Infectious Disease Research, Department of Biochemistry & Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada.
James J CollinsInstitute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA. jimjc@mit.edu.ORCID http://orcid.org/0000-0002-5560-8246

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Drug Resistance, BacterialMicrobial Sensitivity TestsAnti-Bacterial AgentsBacteriaCiprofloxacinDNA DamageEscherichia coliGene DeletionIn Situ Nick-End LabelingMicroscopy, FluorescenceMutationPhenotypeSpecies SpecificityAnti-Bacterial AgentsCiprofloxacin

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.