Evidence map›Paper›PMID 18489752›Full record

ArticleBMC systems biology2008

Defining a modular signalling network from the fly interactome.

Anaïs Baudot, Jean-Baptiste Angelelli, Alain Guénoche, Bernard Jacq, Christine Brun

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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  5. Review
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.

Anaïs BaudotInstitut de Biologie du Développement de Marseille-Luminy, UMR6216, CNRS/Université de Méditerranée, Marseille, France. abaudot@cnio.es
Jean-Baptiste Angelelli
Alain Guénoche
Bernard Jacq
Christine Brun
Centre National de la Recherche Scientifique · FRInstitut de Biologie du Développement Marseille · FRInstitut de Neurobiologie de la Méditerranée · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSignalling pathways relay information by transmitting signals from cell surface receptors to intracellular effectors that eventually activate the transcription of target genes. Since signalling pathways involve several types of molecular interactions including protein-protein interactions, we postulated that investigating their organization in the context of the global protein-protein interaction network could provide a new integrated view of signalling mechanisms.

resultsUsing a graph-theory based method to analyse the fly protein-protein interaction network, we found that each signalling pathway is organized in two to three different signalling modules. These modules contain canonical proteins of the signalling pathways, known regulators as well as other proteins thereby predicted to participate to the signalling mechanisms. Connections between the signalling modules are prominent as compared to the other network's modules and interactions within and between signalling modules are among the more central routes of the interaction network.

conclusionAltogether, these modules form an interactome sub-network devoted to signalling with particular topological properties: modularity, density and centrality. This finding reflects the integration of the signalling system into cell functioning and its important role connecting and coordinating different biological processes at the level of the interactome.

Indexed as

Cluster AnalysisDatabase Management SystemsDrosophilaSignal TransductionAnimalsDrosophila ProteinsModels, BiologicalNeural Networks, ComputerProtein Interaction MappingSystems BiologySystems IntegrationDrosophila Proteins

Identifiers

PMID18489752
PMCPMC2405789
OpenAlexW2035529325

What OpenQuestion holds

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LicenceCC BY
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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.