Evidence map›Paper›PMID 21986901›Full record

ReviewNature reviews. Microbiology2011

Non-transcriptional regulatory processes shape transcriptional network dynamics.

J Christian J Ray, Jeffrey J Tabor, Oleg A Igoshin

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. ModelingbioRxiv : the preprint server for biology · 2025
    Article
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  5. Review
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  12. Review
  13. Learning from Adversity?Journal of bacteriology · 2017
    Article
  14. Article
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  16. Unrelated toxin-antitoxin systems cooperate to induce persistence.Journal of the Royal Society, Interface · 2015
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

J Christian J RayDepartment of Bioengineering, Rice University, Houston, Texas 77005, USA.
Jeffrey J Tabor
Oleg A Igoshin

Funding

Feedback regulation and transcirptional coupling in bacterial stress-responseR01GM096189 · NIGMS · RICE UNIVERSITY · PI IGOSHIN, OLEG · 2010 to 2014
$1.3M
NIGMS NIH HHS R01 GM096189NIGMS NIH HHS R01‑GM096189‑01
6 · The paper itself

Abstract

Information about the extra- or intracellular environment is often captured as biochemical signals that propagate through regulatory networks. These signals eventually drive phenotypic changes, typically by altering gene expression programmes in the cell. Reconstruction of transcriptional regulatory networks has given a compelling picture of bacterial physiology, but transcriptional network maps alone often fail to describe phenotypes. Cellular response dynamics are ultimately determined by interactions between transcriptional and non-transcriptional networks, with dramatic implications for physiology and evolution. Here, we provide an overview of non-transcriptional interactions that can affect the performance of natural and synthetic bacterial regulatory networks.

Indexed as

Bacterial Physiological PhenomenaGene Expression Regulation, BacterialBacteriaGene Regulatory NetworksMetabolic Networks and PathwaysModels, BiologicalPhenotype

Identifiers

PMID21986901
PMCPMC3755963

What OpenQuestion holds

Textmetadata
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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.