Evidence map›Paper›PMID 30232125›Full record

ArticleMolecular & cellular proteomics : MCP2018

A New Tool to Reveal Bacterial Signaling Mechanisms in Antibiotic Treatment and Resistance.

Miao-Hsia Lin, Clement M Potel, Kamaleddin H M E Tehrani, Albert J R Heck, Nathaniel I Martin, Simone Lemeer

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. TheJournal of proteome research · 2026
    Article
  6. Antibiotic Resistance inAntibiotics (Basel, Switzerland) · 2026
    Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
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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

6 authors.

Miao-Hsia LinBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, University of Utrecht, Utrecht, The Netherlands; Netherlands Proteomics Center, University of Utrecht, Utrecht, The Netherlands.
Clement M PotelBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, University of Utrecht, Utrecht, The Netherlands; Netherlands Proteomics Center, University of Utrecht, Utrecht, The Netherlands.
Kamaleddin H M E TehraniDepartment of Chemical Biology & Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands.
Albert J R HeckBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, University of Utrecht, Utrecht, The Netherlands; Netherlands Proteomics Center, University of Utrecht, Utrecht, The Netherlands.
Nathaniel I MartinDepartment of Chemical Biology & Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands.
Simone LemeerBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, University of Utrecht, Utrecht, The Netherlands; Netherlands Proteomics Center, University of Utrecht, Utrecht, The Netherlands. Electronic address: s.m.lemeer@uu.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid emergence of antimicrobial resistance is a major threat to human health. Antibiotics modulate a wide range of biological processes in bacteria and as such, the study of bacterial cellular signaling could aid the development of urgently needed new antibiotic agents. Due to the advances in bacterial phosphoproteomics, such a systemwide analysis of bacterial signaling in response to antibiotics has recently become feasible. Here we present a dynamic view of differential protein phosphorylation upon antibiotic treatment and antibiotic resistance. Most strikingly, differential phosphorylation was observed on highly conserved residues of resistance regulating transcription factors, implying a previously unanticipated role of phosphorylation mediated regulation. Using the comprehensive phosphoproteomics data presented here as a resource, future research can now focus on deciphering the precise signaling mechanisms contributing to resistance, eventually leading to alternative strategies to combat antimicrobial resistance.

Indexed as

Drug Resistance, Multiple, BacterialAnti-Bacterial AgentsBacterial ProteinsChromatography, LiquidEscherichia coliEscherichia coli ProteinsHumansPhosphorylationProteomicsSignal TransductionTandem Mass SpectrometryTranscription FactorsTranscription, GeneticAnti-Bacterial AgentsBacterial ProteinsEscherichia coli ProteinsMCR-1 protein, E coliTranscription Factorsantimicrobial resistanceBacteriaMicrobiologyPathogensPhosphorylationQuantification

Identifiers

PMID30232125
PMCPMC6283303

What OpenQuestion holds

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Registered trials

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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.