Evidence map›Paper›PMID 28306714›Full record

ArticlePLoS computational biology2017

Reconstruction and signal propagation analysis of the Syk signaling network in breast cancer cells.

Aurélien Naldi, Romain M Larive, Urszula Czerwinska, Serge Urbach, Philippe Montcourrier, Christian Roy, Jérôme Solassol, Gilles Freiss, Peter J Coopman, Ovidiu Radulescu

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. 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
0.8field-weighted citation impact, top 29% 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, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Cancer management and research · 2018
    Article
  8. Article
  9. Article
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

10 authors at 2 institutions in 1 country.

Aurélien NaldiDIMNP, Dynamique des Interactions Membranaires Normales et Pathologiques, CNRS, UMR5235, Montpellier, France.ORCID 0000-0002-6495-2655
Romain M LariveUniversité de Montpellier, Montpellier, France.ORCID 0000-0001-8479-209X
Urszula CzerwinskaDIMNP, Dynamique des Interactions Membranaires Normales et Pathologiques, CNRS, UMR5235, Montpellier, France.ORCID 0000-0002-5244-0708
Serge UrbachUniversité de Montpellier, Montpellier, France.
Philippe MontcourrierUniversité de Montpellier, Montpellier, France.
Christian RoyDIMNP, Dynamique des Interactions Membranaires Normales et Pathologiques, CNRS, UMR5235, Montpellier, France.
Jérôme SolassolUniversité de Montpellier, Montpellier, France.
Gilles FreissUniversité de Montpellier, Montpellier, France.
Peter J CoopmanUniversité de Montpellier, Montpellier, France.ORCID 0000-0003-3720-523X
Ovidiu RadulescuDIMNP, Dynamique des Interactions Membranaires Normales et Pathologiques, CNRS, UMR5235, Montpellier, France.
Centre National de la Recherche Scientifique · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to build in-depth cell signaling networks from vast experimental data is a key objective of computational biology. The spleen tyrosine kinase (Syk) protein, a well-characterized key player in immune cell signaling, was surprisingly first shown by our group to exhibit an onco-suppressive function in mammary epithelial cells and corroborated by many other studies, but the molecular mechanisms of this function remain largely unsolved. Based on existing proteomic data, we report here the generation of an interaction-based network of signaling pathways controlled by Syk in breast cancer cells. Pathway enrichment of the Syk targets previously identified by quantitative phospho-proteomics indicated that Syk is engaged in cell adhesion, motility, growth and death. Using the components and interactions of these pathways, we bootstrapped the reconstruction of a comprehensive network covering Syk signaling in breast cancer cells. To generate in silico hypotheses on Syk signaling propagation, we developed a method allowing to rank paths between Syk and its targets. We first annotated the network according to experimental datasets. We then combined shortest path computation with random walk processes to estimate the importance of individual interactions and selected biologically relevant pathways in the network. Molecular and cell biology experiments allowed to distinguish candidate mechanisms that underlie the impact of Syk on the regulation of cortactin and ezrin, both involved in actin-mediated cell adhesion and motility. The Syk network was further completed with the results of our biological validation experiments. The resulting Syk signaling sub-networks can be explored via an online visualization platform.

Indexed as

Gene Expression Regulation, NeoplasticModels, BiologicalSignal TransductionBreast NeoplasmsCell Line, TumorComputer SimulationFemaleGene Expression ProfilingHumansMCF-7 CellsNeoplasm ProteinsSyk KinaseNeoplasm ProteinsSyk KinaseSYK protein, human

Identifiers

PMID28306714
PMCPMC5376343
OpenAlexW2596452186

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.