Evidence map›Paper›PMID 23612296›Full record

ArticleNature communications2013

Characterizing the interplay between multiple levels of organization within bacterial sigma factor regulatory networks.

Yu Qiu, Harish Nagarajan, Mallory Embree, Wendy Shieu, Elisa Abate, Katy Juárez, Byung-Kwan Cho, James G Elkins, Kelly P Nevin, Christian L Barrett and 3 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Nature communications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Virulence regulation in the fish pathogenFrontiers in cellular and infection microbiology · 2026
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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

13 authors at 4 institutions in 2 countries.

Yu QiuDepartment of Bioengineering, University of California, San Diego, La Jolla, California 92093, USA.
Harish Nagarajan
Mallory Embree
Wendy Shieu
Elisa Abate
Katy Juárez
Byung-Kwan Cho
James G Elkins
Kelly P Nevin
Christian L Barrett
Derek R Lovley
Bernhard O Palsson
Karsten Zengler
La Jolla Bioengineering Institute · USUniversity of California, San Diego · USUniversity of Massachusetts Amherst · USUniversidad Nacional Autónoma de México · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria contain multiple sigma factors, each targeting diverse, but often overlapping sets of promoters, thereby forming a complex network. The layout and deployment of such a sigma factor network directly impacts global transcriptional regulation and ultimately dictates the phenotype. Here we integrate multi-omic data sets to determine the topology, the operational, and functional states of the sigma factor network in Geobacter sulfurreducens, revealing a unique network topology of interacting sigma factors. Analysis of the operational state of the sigma factor network shows a highly modular structure with σ(N) being the major regulator of energy metabolism. Surprisingly, the functional state of the network during the two most divergent growth conditions is nearly static, with sigma factor binding profiles almost invariant to environmental stimuli. This first comprehensive elucidation of the interplay between different levels of the sigma factor network organization is fundamental to characterize transcriptional regulatory mechanisms in bacteria.

Indexed as

Energy MetabolismGene Expression ProfilingGene Expression Regulation, BacterialGene Regulatory NetworksGenes, BacterialGeobacterModels, BiologicalRegulonSigma FactorSigma Factor

Identifiers

PMID23612296
OpenAlexW1987091690

What OpenQuestion holds

Textmetadata
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.