Evidence map›Paper›PMID 23990774›Full record

ArticlePLoS computational biology2013

Model-based analysis of HER activation in cells co-expressing EGFR, HER2 and HER3.

Harish Shankaran, Yi Zhang, Yunbing Tan, Haluk Resat

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Journal of biosciences · 2018
    Article
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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

4 authors at 2 institutions in 1 country.

Harish ShankaranComputational Biology and Bioinformatics Group, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Yi Zhang
Yunbing Tan
Haluk Resat
Pacific Northwest National Laboratory · USWashington State University · US

Funding

Modeling Cell Receptor Signaling PathwaysR01GM072821 · NIGMS · WASHINGTON STATE UNIVERSITY · PI RESAT, HALUK · 2005 to 2012
$2.1M
NIGMS NIH HHS 5R01GM072821-07NIGMS NIH HHS R01 GM072821
6 · The paper itself

Abstract

The HER/ErbB family of receptor tyrosine kinases drives critical responses in normal physiology and cancer, and the expression levels of the various HER receptors are critical determinants of clinical outcomes. HER activation is driven by the formation of various dimer complexes between members of this receptor family. The HER dimer types can have differential effects on downstream signaling and phenotypic outcomes. We constructed an integrated mathematical model of HER activation, and trafficking to quantitatively link receptor expression levels to dimerization and activation. We parameterized the model with a comprehensive set of HER phosphorylation and abundance data collected in a panel of human mammary epithelial cells expressing varying levels of EGFR/HER1, HER2 and HER3. Although parameter estimation yielded multiple solutions, predictions for dimer phosphorylation were in agreement with each other. We validated the model using experiments where pertuzumab was used to block HER2 dimerization. We used the model to predict HER dimerization and activation patterns in a panel of human mammary epithelial cells lines with known HER expression levels in response to stimulations with ligands EGF and HRG. Simulations over the range of expression levels seen in various cell lines indicate that: i) EGFR phosphorylation is driven by HER1-HER1 and HER1-HER2 dimers, and not HER1-HER3 dimers, ii) HER1-HER2 and HER2-HER3 dimers both contribute significantly to HER2 activation with the EGFR expression level determining the relative importance of these species, and iii) the HER2-HER3 dimer is largely responsible for HER3 activation. The model can be used to predict phosphorylated dimer levels for any given HER expression profile. This information in turn can be used to quantify the potencies of the various HER dimers, and can potentially inform personalized therapeutic approaches.

Indexed as

Models, BiologicalAntibodies, MonoclonalCell LineComputer SimulationEpithelial CellsErb-b2 Receptor Tyrosine KinasesErbB ReceptorsHumansMammary Glands, HumanMAP Kinase Signaling SystemMitogen-Activated Protein KinasesPhosphorylationProto-Oncogene Proteins c-aktReceptor, ErbB-3Reproducibility of Results2C4 antibodyAntibodies, MonoclonalErb-b2 Receptor Tyrosine KinasesErbB ReceptorsMitogen-Activated Protein KinasesProto-Oncogene Proteins c-aktReceptor, ErbB-3

Identifiers

PMID23990774
PMCPMC3749947
OpenAlexW1990808537

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.