Evidence map›Paper›PMID 23320651›Full record

ArticleBMC systems biology2013

Simulations of stressosome activation emphasize allosteric interactions between RsbR and RsbT.

Ulf W Liebal, Thomas Millat, Jon Marles-Wright, Richard J Lewis, Olaf Wolkenhauer

Abstract read
In one paragraph

Article in BMC systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

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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

5 authors.

Ulf W LiebalDepartment of Systems Biology & Bioinformatics, Institute of Computer Science, University of Rostock, 18051, Rostock, Germany. Ulf.liebal@uni-rostock.de
Thomas Millat
Jon Marles-Wright
Richard J Lewis
Olaf Wolkenhauer

Funding

Biotechnology and Biological Sciences Research Council BB/G001553/1Biotechnology and Biological Sciences Research Council BB/G015902/1Biotechnology and Biological Sciences Research Council BB/I004572/1
6 · The paper itself

Abstract

backgroundThe stressosome is a bacterial signalling complex that responds to environmental changes by initiating a protein partner switching cascade, which leads to the release of the alternative sigma factor, σB. Stress perception increases the phosphorylation of the stressosome sensor protein, RsbR, and the scaffold protein, RsbS, by the protein kinase, RsbT. Subsequent dissociation of RsbT from the stressosome activates the σB cascade. However, the sequence of physical events that occur in the stressosome during signal transduction is insufficiently understood.

resultsHere, we use computational modelling to correlate the structure of the stressosome with the efficiency of the phosphorylation reactions that occur upon activation by stress. In our model, the phosphorylation of any stressosome protein is dependent upon its nearest neighbours and their phosphorylation status. We compare different hypotheses about stressosome activation and find that only the model representing the allosteric activation of the kinase RsbT, by phosphorylated RsbR, qualitatively reproduces the experimental data.

conclusionsOur simulations and the associated analysis of published data support the following hypotheses: (i) a simple Boolean model is capable of reproducing stressosome dynamics, (ii) different stressors induce identical stressosome activation patterns, and we also confirm that (i) phosphorylated RsbR activates RsbT, and (ii) the main purpose of RsbX is to dephosphorylate RsbS-P.

Indexed as

Models, BiologicalModels, MolecularBacterial ProteinsMolecular Dynamics SimulationPhosphoproteinsPhosphorylationProtein Serine-Threonine KinasesSigma FactorSignal TransductionStress, PhysiologicalBacterial ProteinsPhosphoproteinsProtein Serine-Threonine KinasesRsbR protein, Bacillus subtilisRsbT protein, Bacillus subtilisSigB protein, BacteriaSigma Factor

Identifiers

PMID23320651
PMCPMC3556497

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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.