Evidence map›Paper›PMID 21509365›Full record

ArticleMolecular bioSystems2011

A multiscale modeling approach to investigate molecular mechanisms of pseudokinase activation and drug resistance in the HER3/ErbB3 receptor tyrosine kinase signaling network.

Shannon E Telesco, Andrew J Shih, Fei Jia, Ravi Radhakrishnan

Open access · greenAbstract read
In one paragraph

Article in Molecular bioSystems, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 39 citations in OpenAlex.

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  20. Structural systems biology and multiscale signaling models.Annals of biomedical engineering · 2012
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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 1 institution in 1 country.

Shannon E TelescoDepartment of Bioengineering, University of Pennsylvania, 210 S. 33rd Street, 240 Skirkanich Hall, Philadelphia, PA 19104, USA.
Andrew J Shih
Fei Jia
Ravi Radhakrishnan
University of Pennsylvania · US

Funding

Multidisciplinary Training in Cardiovascular BiologyT32HL007954 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI DAVIES, PETER FRANCIS · 2000 to 2019
$9.9M
Targeted Microcarrier Design and OptimizationR01EB006818 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI ECKMANN, DAVID M · 2008 to 2016
$3.3M
System Biology Approach for Signaling Transduction Study of Complex PhenotypesR01LM010185 · NLM · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ZHOU, XIAOBO, ZU, YOULI · 2009 to 2012
$1.3M
NHLBI NIH HHS T32 HL007954NIBIB NIH HHS R01 EB006818NLM NIH HHS 5R01LM010185-02
6 · The paper itself

Abstract

Multiscale modeling provides a powerful and quantitative platform for investigating the complexity inherent in intracellular signaling pathways and rationalizing the effects of molecular perturbations on downstream signaling events and ultimately, on the cell phenotype. Here we describe the application of a multiscale modeling scheme to the HER3/ErbB3 receptor tyrosine kinase (RTK) signaling network, which regulates critical cellular processes including proliferation, migration and differentiation. The HER3 kinase is a topic of current interest and investigation, as it has been implicated in mechanisms of resistance to tyrosine kinase inhibition (TKI) of EGFR and HER2 in the treatment of many human malignancies. Moreover, the commonly regarded status of HER3 as a catalytically inactive 'pseudokinase' has recently been challenged by our previous study, which demonstrated robust residual kinase activity for HER3. Through our multiscale model, we investigate the most significant molecular interactions that contribute to potential mechanisms of HER3 activity and the physiological relevance of this activity to mechanisms of drug resistance in an ErbB-driven tumor cell in silico. The results of our molecular-scale simulations support the characterization of HER3 as a weakly active kinase that, in contrast to its fully-active ErbB family members, depends upon a unique hydrophobic interface to coordinate the alignment of specific catalytic residues required for its activity. Translating our molecular simulation results of the uniquely active behavior of the HER3 kinase into a physiologically relevant environment, our HER3 signaling model demonstrates that even a weak level of HER3 activity may be sufficient to induce AKT signaling and TKI resistance in the context of an ErbB signaling-dependent tumor cell, and therefore therapeutic targeting of HER3 may represent a superior treatment strategy for specific ErbB-driven cancers.

Indexed as

Computer SimulationDrug Resistance, NeoplasmModels, BiologicalSignal TransductionAmino Acid SequenceAntineoplastic AgentsEnzyme ActivationHumansHydrogen BondingHydrophobic and Hydrophilic InteractionsIntracellular Signaling Peptides and ProteinsLapatinibMolecular Dynamics SimulationMolecular Sequence DataPrincipal Component AnalysisProtein Kinase InhibitorsAntineoplastic AgentsIntracellular Signaling Peptides and ProteinsLapatinibProtein Kinase InhibitorsQuinazolinesReceptor, ErbB-3

Identifiers

PMID21509365
PMCPMC3138520
OpenAlexW2146110873

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Registered trials

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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.