Evidence map›Paper›PMID 30498777›Full record

ArticleScience advances2018

Negative feedback increases information transmission, enabling bacteria to discriminate sublethal antibiotic concentrations.

Raul Ruiz, Fernando de la Cruz, Raul Fernandez-Lopez

Abstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Quantifying information of intracellular signaling: progress with machine learning.Reports on progress in physics. Physical Society (Great Britain) · 2022
    Review
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.

Raul RuizInstituto de Biomedicina y Biotecnologia (IBBTEC) CSIC/Universidad de Cantabria, Santander, Spain.ORCID 0000-0002-5300-2240
Fernando de la CruzInstituto de Biomedicina y Biotecnologia (IBBTEC) CSIC/Universidad de Cantabria, Santander, Spain.
Raul Fernandez-LopezInstituto de Biomedicina y Biotecnologia (IBBTEC) CSIC/Universidad de Cantabria, Santander, Spain.ORCID 0000-0002-9624-9059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the cell, noise constrains information transmission through signaling pathways and regulatory networks. There is growing evidence that the channel capacity of cellular pathways is limited to a few bits, questioning whether cells quantify external stimuli or rely on threshold detection and binary on/off decisions. Here, using fluorescence microscopy and information theory, we analyzed the ability of the transcriptional regulator TetR to sense and quantify the antibiotic tetracycline. The results showed that noise filtering by negative feedback increased information transmission up to 2 bits, generating a graded response able to discriminate different antibiotic concentrations. This response matched the antibiotic subinhibitory selection window, suggesting that information transmission through TetR is optimized to quantify sublethal antibiotic levels. Noise filtering by negative feedback may thus boost the discriminative power of cellular sensors, enabling signal quantification.

Indexed as

Feedback, PhysiologicalInformation TheoryAnti-Bacterial AgentsBacteriaComputer SimulationGene Regulatory NetworksModels, BiologicalSignal TransductionTrans-ActivatorsAnti-Bacterial AgentsTrans-Activators

Identifiers

PMID30498777
PMCPMC6261649

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.