Evidence map›Paper›PMID 24048005›Full record

ArticleBiophysical journal2013

Dynamic transition states of ErbB1 phosphorylation predicted by spatial stochastic modeling.

Meghan McCabe Pryor, Shalini T Low-Nam, Adám M Halász, Diane S Lidke, Bridget S Wilson, Jeremy S Edwards

Abstract read
In one paragraph

Article in Biophysical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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  7. Pinning down the EGF receptor.Biophysical journal · 2014
    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

6 authors.

Meghan McCabe PryorDepartment of Chemical and Nuclear Engineering, University of New Mexico, Albuquerque, New Mexico.
Shalini T Low-Nam
Adám M Halász
Diane S Lidke
Bridget S Wilson
Jeremy S Edwards

Funding

UNM TRAININGP50GM085273 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI WILSON, BRIDGET S · 2009 to 2018
$26.1M
MSM Mapping and Modeling ErbB Receptor Membrane Topogra*R01CA119232 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI WILSON, BRIDGET S · 2005 to 2012
$2.1M
A Spatially coarse-grained, rule-based frame work for modeling large molecularR01GM104973 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI EDWARDS, JEREMY S · 2012 to 2015
$1.3M
Spatial Monte Carlo models for VEGF binding on the cell membraneK25CA131558 · NCI · WEST VIRGINIA UNIVERSITY · PI HALASZ, ADAM MIKLOS · 2008 to 2012
$616k
NCI NIH HHS K25 CA131558NCI NIH HHS K25CA131558NCI NIH HHS R01 CA119232NIGMS NIH HHS P50 GM085273NIGMS NIH HHS P50GM085273NIGMS NIH HHS R01 GM104973NIGMS NIH HHS R01GM104973
6 · The paper itself

Abstract

ErbB1 overexpression is strongly linked to carcinogenesis, motivating better understanding of erbB1 dimerization and activation. Recent single-particle-tracking data have provided improved measures of dimer lifetimes and strong evidence that transient receptor coconfinement promotes repeated interactions between erbB1 monomers. Here, spatial stochastic simulations explore the potential impact of these parameters on erbB1 phosphorylation kinetics. This rule-based mathematical model incorporates structural evidence for conformational flux of the erbB1 extracellular domains, as well as asymmetrical orientation of erbB1 cytoplasmic kinase domains during dimerization. The asymmetric dimer model considers the theoretical consequences of restricted transactivation of erbB1 receptors within a dimer, where the N-lobe of one monomer docks with the C-lobe of the second monomer and triggers its catalytic activity. The dynamic nature of the erbB1 phosphorylation state is shown by monitoring activation states of individual monomers as they diffuse, bind, and rebind after ligand addition. The model reveals the complex interplay between interacting liganded and nonliganded species and the influence of their distribution and abundance within features of the membrane landscape.

Indexed as

Models, BiologicalCell MembraneErbB ReceptorsLigandsPhosphorylationProtein Structure, TertiarySpatial AnalysisStochastic ProcessesErbB ReceptorsLigands

Identifiers

PMID24048005
PMCPMC3785885

What OpenQuestion holds

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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.