Evidence map›Paper›PMID 22962472›Full record

ArticleBioinformatics (Oxford, England)2012

Boolean approach to signalling pathway modelling in HGF-induced keratinocyte migration.

Amit Singh, Juliana M Nascimento, Silke Kowar, Hauke Busch, Melanie Boerries

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Normalizing Input-Output Relationships of Cancer Networks for Reversion Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
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  7. Boolean network modeling in systems pharmacology.Journal of pharmacokinetics and pharmacodynamics · 2018
    Review
  8. Review
  9. Article
  10. Article
  11. Understanding the mTOR signaling pathway via mathematical modeling.Wiley interdisciplinary reviews. Systems biology and medicine · 2017
    Review
  12. Article
  13. Article
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  17. Article
  18. Review
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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 1 institution in 1 country.

Amit SinghFreiburg Institute for Advanced Studies, LifeNet, Albert-Ludwigs-University of Freiburg, Albertstrasse 19, Freiburg, Germany.
Juliana M Nascimento
Silke Kowar
Hauke Busch
Melanie Boerries
University of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationCell migration is a complex process that is controlled through the time-sequential feedback regulation of protein signalling and gene regulation. Based on prior knowledge and own experimental data, we developed a large-scale dynamic network describing the onset and maintenance of hepatocyte growth factor-induced migration of primary human keratinocytes. We applied Boolean logic to capture the qualitative behaviour as well as short-and long-term dynamics of the complex signalling network involved in this process, comprising protein signalling, gene regulation and autocrine feedback.

resultsA Boolean model has been compiled from time-resolved transcriptome data and literature mining, incorporating the main pathways involved in migration from initial stimulation to phenotype progress. Steady-state analysis under different inhibition and stimulation conditions of known key molecules reproduces existing data and predicts novel interactions based on our own experiments. Model simulations highlight for the first time the necessity of a temporal sequence of initial, transient MET receptor (met proto-oncogene, hepatocyte growth factor receptor) and subsequent, continuous epidermal growth factor/integrin signalling to trigger and sustain migration by autocrine signalling that is integrated through the Focal adhesion kinase protein. We predicted in silico and verified in vitro that long-term cell migration is stopped if any of the two feedback loops are inhibited. AVAILABILITY: The network file for analysis with the R BoolNet library is available in the Supplementary Information. CONTACT: melanie.boerries@frias.uni-freiburg.de or hauke.busch@frias.uni-freiburg.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Cell MovementModels, BiologicalAutocrine CommunicationCells, CulturedHepatocyte Growth FactorHumansKeratinocytesProto-Oncogene MasProto-Oncogene Proteins c-metSignal TransductionTranscriptomeHepatocyte Growth FactorMAS1 protein, humanMET protein, humanProto-Oncogene MasProto-Oncogene Proteins c-met

Identifiers

PMID22962472
PMCPMC3436837
OpenAlexW2161378694

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.