Evidence map›Paper›PMID 22316093›Full record

ArticleBMC systems biology2012

Towards a quantitative understanding of the MITF-PIAS3-STAT3 connection.

Josef Thingnes, Timothy J Lavelle, Arne B Gjuvsland, Stig W Omholt, Eivind Hovig

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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 at 3 institutions in 1 country.

Josef ThingnesCentre for Integrative Genetics, Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, 1430 Ås, Norway. joset@umb.no
Timothy J Lavelle
Arne B Gjuvsland
Stig W Omholt
Eivind Hovig
Norwegian University of Life Sciences · NONorwegian Cancer Society · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExpression of the two transcription factors microphthalmia-associated transcription factor (MITF) and signal transducer and activator of transcription 3 (STAT3) are tightly connected to cell proliferation and survival, and are important for melanocyte development. The co-regulation of MITF and STAT3 via their binding to a common inhibitor Protein Inhibitor of Activated STAT3 (PIAS3) is intriguing. A better quantitative understanding of this regulation is likely to be important for elucidation of the melanocyte biology.

resultsWe present a mathematical model describing the MITF-PIAS3-STAT3 signalling network. A default parameter set was developed, partly informed by the literature and partly by constraining the model to mimic reported behavioural features of the system. In addition, a set of experiment-specific parameters was derived for each of 28 experiments reported in the literature. The model seems capable of accounting for most of these experiments in terms of observed temporal development of protein amounts and phosphorylation states. Further, the results also suggest that this system possesses some regulatory features yet to be elucidated.

conclusionsWe find that the experimentally observed crosstalk between MITF and STAT3 via PIAS3 in melanocytes is faithfully reproduced in our model, offering mechanistic explanations for this behaviour, as well as providing a scaffold for further studies of MITF signalling in melanoma.

Indexed as

Models, BiologicalCell ProliferationComputer SimulationMelanocytesMelanomaMicrophthalmia-Associated Transcription FactorMolecular ChaperonesProtein Inhibitors of Activated STATReceptor Cross-TalkSignal TransductionSTAT3 Transcription FactorMicrophthalmia-Associated Transcription FactorMITF protein, humanMolecular ChaperonesPIAS3 protein, humanProtein Inhibitors of Activated STATSTAT3 protein, humanSTAT3 Transcription Factor

Identifiers

PMID22316093
PMCPMC3341200
OpenAlexW2017226171

What OpenQuestion holds

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Registered trials

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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.