Evidence map›Paper›PMID 27059647›Full record

ArticleBMC bioinformatics2016

CyTRANSFINDER: a Cytoscape 3.3 plugin for three-component (TF, gene, miRNA) signal transduction pathway construction.

Gianfranco Politano, Francesca Orso, Monica Raimo, Alfredo Benso, Alessandro Savino, Daniela Taverna, Stefano Di Carlo

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2016. 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
1.6field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Gianfranco PolitanoDepartment of Control and Computer Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, 10129, Italy.
Francesca OrsoMolecular Biotechnology Center (MBC), Via Nizza, 52, Torino, 10126, Italy.
Monica RaimoMolecular Biotechnology Center (MBC), Via Nizza, 52, Torino, 10126, Italy.
Alfredo BensoDepartment of Control and Computer Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, 10129, Italy.
Alessandro SavinoDepartment of Control and Computer Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, 10129, Italy.
Daniela TavernaMolecular Biotechnology Center (MBC), Via Nizza, 52, Torino, 10126, Italy.
Stefano Di CarloDepartment of Control and Computer Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, 10129, Italy. stefano.dicarlo@polito.it.
Polytechnic University of Turin · ITUniversity of Turin · ITAccademia Albertina delle Belle Arti · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiological research increasingly relies on network models to study complex phenomena. Signal Transduction Pathways are molecular circuits that model how cells receive, process, and respond to information from the environment providing snapshots of the overall cell dynamics. Most of the attempts to reconstruct signal transduction pathways are limited to single regulator networks including only genes/proteins. However, networks involving a single type of regulator and neglecting transcriptional and post-transcriptional regulations mediated by transcription factors and microRNAs, respectively, may not fully reveal the complex regulatory mechanisms of a cell. We observed a lack of computational instruments supporting explorative analysis on this type of three-component signal transduction pathways.

resultsWe have developed CyTRANSFINDER, a new Cytoscape plugin able to infer three-component signal transduction pathways based on user defined regulatory patterns and including miRNAs, TFs and genes. Since CyTRANSFINDER has been designed to support exploratory analysis, it does not rely on expression data. To show the potential of the plugin we have applied it in a study of two miRNAs that are particularly relevant in human melanoma progression, miR-146a and miR-214.

conclusionsCyTRANSFINDER supports the reconstruction of small signal transduction pathways among groups of genes. Results obtained from its use in a real case study have been analyzed and validated through both literature data and preliminary wet-lab experiments, showing the potential of this tool when performing exploratory analysis.

Indexed as

Signal TransductionDisease ProgressionGene Expression RegulationGene Regulatory NetworksHumansMelanomaMicroRNAsReproducibility of ResultsTranscription FactorsMicroRNAsMIRN146 microRNA, humanMIRN214 microRNA, humanTranscription FactorsCytoscapeData fusionmicroRNANetwork analysisNetwork modulesPathway analysisSignal transduction pathways

Identifiers

PMID27059647
PMCPMC4826505
OpenAlexW2328532852

What OpenQuestion holds

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LicenceCC BY
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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.