Evidence map›Paper›PMID 30765425›Full record

ArticleMolecular systems biology2019

Temporal order and precision of complex stress responses in individual bacteria.

Karin Mitosch, Georg Rieckh, Tobias Bollenbach

Abstract read
In one paragraph

Article in Molecular systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Discovery ofmBio · 2026
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  16. Insights into the Oxidative Stress Response ofAntioxidants (Basel, Switzerland) · 2020
    Article
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  18. Article
  19. 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

3 authors.

Karin MitoschIST Austria, Klosterneuburg, Austria.
Georg RieckhIST Austria, Klosterneuburg, Austria.
Tobias BollenbachUniversity of Cologne, Cologne, Germany t.bollenbach@uni-koeln.de.ORCID 0000-0003-4398-476X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sudden stress often triggers diverse, temporally structured gene expression responses in microbes, but it is largely unknown how variable in time such responses are and if genes respond in the same temporal order in every single cell. Here, we quantified timing variability of individual promoters responding to sublethal antibiotic stress using fluorescent reporters, microfluidics, and time-lapse microscopy. We identified lower and upper bounds that put definite constraints on timing variability, which varies strongly among promoters and conditions. Timing variability can be interpreted using results from statistical kinetics, which enable us to estimate the number of rate-limiting molecular steps underlying different responses. We found that just a few critical steps control some responses while others rely on dozens of steps. To probe connections between different stress responses, we then tracked the temporal order and response time correlations of promoter pairs in individual cells. Our results support that, when bacteria are exposed to the antibiotic nitrofurantoin, the ensuing oxidative stress and SOS responses are part of the same causal chain of molecular events. In contrast, under trimethoprim, the acid stress response and the SOS response are part of different chains of events running in parallel. Our approach reveals fundamental constraints on gene expression timing and provides new insights into the molecular events that underlie the timing of stress responses.

Indexed as

Anti-Bacterial AgentsEscherichia coliGene Expression Regulation, BacterialMicrofluidicsOxidative StressSingle-Cell AnalysisSOS Response, GeneticsAnti-Bacterial Agentsantibioticsbacterial stress responsegene expression timingmicrofluidicssingle‐cell measurements

Identifiers

PMID30765425
PMCPMC6375286

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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.