Evidence map›Paper›PMID 29102611›Full record

ArticleCell systems2017

Regulatory Dynamics Determine Cell Fate following Abrupt Antibiotic Exposure.

Daniel Schultz, Adam C Palmer, Roy Kishony

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

10 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Daniel SchultzDepartment of Biology, Technion - Israel Institute of Technology, Haifa 3200003, Israel; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Adam C PalmerDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Roy KishonyDepartment of Biology, Technion - Israel Institute of Technology, Haifa 3200003, Israel; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Department of Computer Science, Technion - Israel Institute of Technology, Haifa 3200003, Israel. Electronic address: rkishony@technion.ac.il.
Center for Systems Biology · USTechnion – Israel Institute of Technology · IL

Funding

The population genetics of antibiotic resistance in multi-drug environmentsR01GM081617 · NIGMS · TECHNION-ISRAEL INSTITUTE OF TECHNOLOGY · PI KISHONY, ROY · 2007 to 2018
$3.7M
European Research Council 281891NIGMS NIH HHS R01 GM081617
6 · The paper itself

Abstract

Bacterial resistance mechanisms must cope with transient fast-changing conditions. These systems are often repressed in the absence of the drug, and it is unclear how their regulation can provide a quick response when challenged. Here, we focus on the tet operon, which provides resistance to tetracycline through efflux pump TetA. We show that, somewhat counterintuitively, prompt expression of the TetA repressor TetR is key for cellular survival upon abrupt drug exposure. Tracking individual cells upon exposure, we find that differences in the rate of TetR elevation result in three distinct cell fates: recovery (high rate), death due to excess TetA (intermediate rate), and death from the drug (low rate). A surge of TetR expression optimizes the response by allowing sensitive detection of both the initial rise and the later decline of intracellular drug, avoiding an undesirable overshoot in TetA expression. These results show how regulatory circuits of resistance genes have evolved for optimized dynamics.

Indexed as

Anti-Bacterial AgentsBacteriaCell SurvivalGene Expression Regulation, BacterialOperonTetracyclineTetracycline ResistanceAnti-Bacterial AgentsTetracyclineantibiotic resistancecell fatedynamicsgene regulationmicrofluidicssingle celltet operon

Identifiers

PMID29102611
PMCPMC5857293
OpenAlexW2766736626

What OpenQuestion holds

Textmetadata
LicenceTDM
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.