Evidence map›Paper›PMID 23637902›Full record

ArticlePloS one2013

A comprehensive, multi-scale dynamical model of ErbB receptor signal transduction in human mammary epithelial cells.

Tomáš Helikar, Naomi Kochi, Bryan Kowal, Manjari Dimri, Mayumi Naramura, Srikumar M Raja, Vimla Band, Hamid Band, Jim A Rogers

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Reaction Systems and Synchronous Digital Circuits.Molecules (Basel, Switzerland) · 2019
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  7. Attractor - a new turning point in drug discovery.Drug design, development and therapy · 2019
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  9. Boolean network modeling in systems pharmacology.Journal of pharmacokinetics and pharmacodynamics · 2018
    Review
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  12. Review
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  14. Article
  15. Review
  16. Molecular network control through boolean canalization.EURASIP journal on bioinformatics & systems biology · 2015
    Article
  17. Review
  18. Article
  19. Article
  20. 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

9 authors at 4 institutions in 2 countries.

Tomáš HelikarDepartment of Mathematics, University of Nebraska at Omaha, Omaha, Nebraska, USA.
Naomi Kochi
Bryan Kowal
Manjari Dimri
Mayumi Naramura
Srikumar M Raja
Vimla Band
Hamid Band
Jim A Rogers
University of Nebraska at Omaha · USUniversity of Nebraska Medical Center · USCzech Academy of Sciences, Institute of Microbiology · CZGeorge Washington University · US

Funding

TYROSINE KINASE REGULATION VIA PROTEIN DEGRADATIONR01CA087986 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BAND, HAMID · 2000 to 2015
$4.2M
MOLECULAR CONTROL OF EGF RECEPTOR DOWN-REGULATIONR01CA099163 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BAND, HAMID · 2003 to 2012
$3.7M
Targeting Endocytic Recycling of EGF Receptor in Cancer R01CA105489 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BAND, HAMID · 2004 to 2014
$3.0M
A novel regulator of p53 functionR01CA096844 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BAND, VIMLA · 2002 to 2011
$2.7M
High Capacity Nanocarriers for Cancer ChemotherapeuticsU01CA151806 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KABANOV, ALEXANDER V · 2010 to 2014
$2.0M
Ecd as a regulator of cell cycle and breast oncogenesisR01CA144027 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BAND, VIMLA · 2011 to 2015
$1.6M
ErbB2 Downregulation Through HSP90 InhibitionR01CA116552 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BAND, HAMID · 2007 to 2011
$1.4M
NCI NIH HHS 5U01CA151806-02NCI NIH HHS CA105489NCI NIH HHS CA116552NCI NIH HHS CA144027NCI NIH HHS CA87986NCI NIH HHS CA96844NCI NIH HHS CA99163NCI NIH HHS R01 CA087986NCI NIH HHS R01 CA096844NCI NIH HHS R01 CA099163NCI NIH HHS R01 CA105489NCI NIH HHS R01 CA116552NCI NIH HHS R01 CA144027NCI NIH HHS U01 CA151806
6 · The paper itself

Abstract

The non-receptor tyrosine kinase Src and receptor tyrosine kinase epidermal growth factor receptor (EGFR/ErbB1) have been established as collaborators in cellular signaling and their combined dysregulation plays key roles in human cancers, including breast cancer. In part due to the complexity of the biochemical network associated with the regulation of these proteins as well as their cellular functions, the role of Src in EGFR regulation remains unclear. Herein we present a new comprehensive, multi-scale dynamical model of ErbB receptor signal transduction in human mammary epithelial cells. This model, constructed manually from published biochemical literature, consists of 245 nodes representing proteins and their post-translational modifications sites, and over 1,000 biochemical interactions. Using computer simulations of the model, we find it is able to reproduce a number of cellular phenomena. Furthermore, the model predicts that overexpression of Src results in increased endocytosis of EGFR in the absence/low amount of the epidermal growth factor (EGF). Our subsequent laboratory experiments also suggest increased internalization of EGFR upon Src overexpression under EGF-deprived conditions, further supporting this model-generated hypothesis.

Indexed as

Models, BiologicalBreastComputer SimulationEndocytosisEpidermal Growth FactorEpithelial CellsErbB ReceptorsFemaleHumansProtein Processing, Post-TranslationalSignal Transductionsrc-Family KinasesEpidermal Growth FactorErbB Receptorssrc-Family Kinases

Identifiers

PMID23637902
PMCPMC3630219
OpenAlexW2009437679

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.