Evidence map›Paper›PMID 24278422›Full record

ArticlePloS one2013

Investigating the allosteric regulation of YfiN from Pseudomonas aeruginosa: clues from the structure of the catalytic domain.

Giorgio Giardina, Alessandro Paiardini, Silvia Fernicola, Stefano Franceschini, Serena Rinaldo, Valentina Stelitano, Francesca Cutruzzolà

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 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

7 authors.

Giorgio GiardinaDepartment of Biochemical Sciences, Sapienza University of Rome, Rome, Italy ; Istituto Pasteur - Fondazione Cenci Bolognetti, Department of Biochemical Sciences, Sapienza University of Rome, Rome, Italy.
Alessandro Paiardini
Silvia Fernicola
Stefano Franceschini
Serena Rinaldo
Valentina Stelitano
Francesca Cutruzzolà

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudomonas aeruginosa is responsible for a plethora of biofilm mediated chronic infections among which cystic fibrosis pneumonia is the most frightening. The long-term survival strategy of P. aeruginosa in the patients lungs is based on a fine balance of virulence vs dormant states and on genetic adaptation, in order to select persistent phenotypes as the small colony variants (SCVs), which strongly correlate with antibiotic resistance and poor lung function. Recent studies have coupled SCV with increased levels of the signaling molecule cyclic di-GMP, and demonstrated the central role of the diguanylate cyclase YfiN, part of the tripartite signaling module YifBNR, in c-di-GMP dependent SCV regulation. YfiN, also called TpbB, is a multi-domain membrane enzyme connecting periplasmic stimuli to cytosolic c-di-GMP production by an allosteric inside-out signaling mechanism that, due to the lack of structural data, is still largely hypothetical. We have solved the crystal structure of the catalytic domain (GGDEF), and measured the enzymatic activity of the cytosolic portion in real-time by means of a newly developed method. Based on these results we demonstrate that, unlike other diguanylate cyclase, YfiN does not undergo product feedback inhibition, and that the presence of the HAMP domain is required for dimerization and catalysis. Coupling our structural and kinetic data with an in silico study we are now able to propose a model for the allosteric regulation of YfiN.

Indexed as

Allosteric RegulationAmino Acid SequenceBacterial ProteinsBinding SitesCatalytic DomainConserved SequenceCyclic GMPKineticsModels, MolecularMolecular Sequence DataProtein BindingProtein ConformationProtein Interaction Domains and MotifsProtein MultimerizationPseudomonas aeruginosaSequence AlignmentBacterial Proteinsbis(3',5')-cyclic diguanylic acidCyclic GMP

Identifiers

PMID24278422
PMCPMC3838380

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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.