Evidence map›Paper›PMID 22870390›Full record

ArticleOpen biology2012

Systems analysis of transcription factor activities in environments with stable and dynamic oxygen concentrations.

Matthew D Rolfe, Andrea Ocone, Melanie R Stapleton, Simon Hall, Eleanor W Trotter, Robert K Poole, Guido Sanguinetti, Jeffrey Green, SysMO-SUMO Consortium

Open access · goldAbstract read
In one paragraph

Article in Open biology, 2012. 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
1.9field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Homeostasis of metabolites inRoyal Society open science · 2016
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Fe-S proteins that regulate gene expression.Biochimica et biophysica acta · 2015
    Review
  13. Article
  14. Article
  15. Article
  16. 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

9 authors at 2 institutions in 1 country.

Matthew D RolfeDepartment of Molecular Biology and Biotechnology, The Krebs Institute, University of Sheffield, Sheffield S10 2TN, UK.
Andrea Ocone
Melanie R Stapleton
Simon Hall
Eleanor W Trotter
Robert K Poole
Guido Sanguinetti
Jeffrey Green
SysMO-SUMO Consortium
University of Sheffield · GBUniversity of Edinburgh · GB

Funding

Biotechnology and Biological Sciences Research Council BB/E019943/1Biotechnology and Biological Sciences Research Council BB/F003463/1Biotechnology and Biological Sciences Research Council BB/G018960/1
6 · The paper itself

Abstract

Understanding gene regulation requires knowledge of changes in transcription factor (TF) activities. Simultaneous direct measurement of numerous TF activities is currently impossible. Nevertheless, statistical approaches to infer TF activities have yielded non-trivial and verifiable predictions for individual TFs. Here, global statistical modelling identifies changes in TF activities from transcript profiles of Escherichia coli growing in stable (fixed oxygen availabilities) and dynamic (changing oxygen availability) environments. A core oxygen-responsive TF network, supplemented by additional TFs acting under specific conditions, was identified. The activities of the cytoplasmic oxygen-responsive TF, FNR, and the membrane-bound terminal oxidases implied that, even on the scale of the bacterial cell, spatial effects significantly influence oxygen-sensing. Several transcripts exhibited asymmetrical patterns of abundance in aerobic to anaerobic and anaerobic to aerobic transitions. One of these transcripts, ndh, encodes a major component of the aerobic respiratory chain and is regulated by oxygen-responsive TFs ArcA and FNR. Kinetic modelling indicated that ArcA and FNR behaviour could not explain the ndh transcript profile, leading to the identification of another TF, PdhR, as the source of the asymmetry. Thus, this approach illustrates how systematic examination of regulatory responses in stable and dynamic environments yields new mechanistic insights into adaptive processes.

Indexed as

Models, BiologicalAerobiosisAnaerobiosisBacterial Outer Membrane ProteinsEscherichia coliEscherichia coli ProteinsIron-Sulfur ProteinsKineticsOxygenRepressor ProteinsarcA protein, E coliBacterial Outer Membrane ProteinsEscherichia coli ProteinsFNR protein, E coliIron-Sulfur ProteinsOxygenPdhR protein, E coliRepressor ProteinsEscherichia colimathematical modellingoxygen-sensingsystems biologytranscript profiling

Identifiers

PMID22870390
PMCPMC3411108
OpenAlexW2104372310

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.