Evidence map›Paper›PMID 25333362›Full record

ArticlePloS one2014

A systems model of phosphorylation for inflammatory signaling events.

Ildar I Sadreev, Michael Z Q Chen, Gavin I Welsh, Yoshinori Umezawa, Nikolay V Kotov, Najl V Valeyev

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  3. Network regulation meets substrate modification chemistry.Journal of the Royal Society, Interface · 2023
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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

6 authors at 6 institutions in 4 countries.

Ildar I SadreevCentre for Systems, Dynamics and Control, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Harrison Building, Exeter, United Kingdom.
Michael Z Q ChenDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong, China.
Gavin I WelshAcademic Renal Unit, School of Clinical Sciences, University of Bristol, Dorothy Hodgkin Building, Bristol, United Kingdom.
Yoshinori UmezawaDepartment of Dermatology, The Jikei University School of Medicine, Minato-ku, Tokyo, Japan.
Nikolay V KotovBiophysics and Bionics Lab, Institute of Physics, Kazan Federal University, Kazan, Russia.
Najl V ValeyevAcademic Renal Unit, School of Clinical Sciences, University of Bristol, Dorothy Hodgkin Building, Bristol, United Kingdom; Biophysics and Bionics Lab, Institute of Physics, Kazan Federal University, Kazan, Russia.
Institute of Physics · RUJikei University School of Medicine · JPKazan Federal University · RUUniversity of Bristol · GBUniversity of Exeter · GBUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphorylation is a fundamental biochemical reaction that modulates protein activity in cells. While a single phosphorylation event is relatively easy to understand, multisite phosphorylation requires systems approaches for deeper elucidation of the underlying molecular mechanisms. In this paper we develop a mechanistic model for single- and multi-site phosphorylation. The proposed model is compared with previously reported studies. We compare the predictions of our model with experiments published in the literature in the context of inflammatory signaling events in order to provide a mechanistic description of the multisite phosphorylation-mediated regulation of Signal Transducer and Activator of Transcription 3 (STAT3) and Interferon Regulatory Factor 5 (IRF-5) proteins. The presented model makes crucial predictions for transcription factor phosphorylation events in the immune system. The model proposes potential mechanisms for T cell phenotype switching and production of cytokines. This study also provides a generic framework for the better understanding of a large number of multisite phosphorylation-regulated biochemical circuits.

Indexed as

Cell DifferentiationCytokinesHumansInflammationInterferon Regulatory FactorsPhosphorylationSignal TransductionSTAT3 Transcription FactorT-LymphocytesCytokinesInterferon Regulatory FactorsIRF5 protein, humanSTAT3 Transcription Factor

Identifiers

PMID25333362
PMCPMC4205014
OpenAlexW2003375498

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.