Evidence map›Paper›PMID 27570763›Full record

ArticleFrontiers in cell and developmental biology2016

Effect of Spatial Inhomogeneities on the Membrane Surface on Receptor Dimerization and Signal Initiation.

Romica Kerketta, Ádám M Halász, Mara P Steinkamp, Bridget S Wilson, Jeremy S Edwards

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 3 institutions in 1 country.

Romica KerkettaDepartment of Pathology, University of New Mexico Health Sciences Center Albuquerque, NM, USA.
Ádám M HalászDepartment of Mathematics and Mary Babb Randolph Cancer Center, West Virginia University Morgantown, WV, USA.
Mara P SteinkampDepartment of Pathology, University of New Mexico Health Sciences CenterAlbuquerque, NM, USA; Cancer Center, University of New Mexico Health Sciences CenterAlbuquerque, NM, USA.
Bridget S WilsonDepartment of Pathology, University of New Mexico Health Sciences CenterAlbuquerque, NM, USA; Cancer Center, University of New Mexico Health Sciences CenterAlbuquerque, NM, USA.
Jeremy S EdwardsCancer Center, University of New Mexico Health Sciences CenterAlbuquerque, NM, USA; Department of Chemical and Biological Engineering, University of New MexicoAlbuquerque, NM, USA; Department of Chemistry and Chemical Biology, University of New MexicoAlbuquerque, NM, USA; Department of Molecular Genetics and Microbiology, University of New MexicoAlbuquerque, NM, USA.
New Mexico Cancer Center · USUniversity of New Mexico · USWest Virginia University · US

Funding

WOMEN'S CANCERS RESEARCH PROGRAMP30CA118100 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Yolanda Sanchez · 2005 to 2026
$57.1M
UNM TRAININGP50GM085273 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI EDWARDS, JEREMY S · 2009 to 2018
$26.1M
NCI NIH HHS P30 CA118100NIGMS NIH HHS P50 GM085273
6 · The paper itself

Abstract

Important signal transduction pathways originate on the plasma membrane, where microdomains may transiently entrap diffusing receptors. This results in a non-random distribution of receptors even in the resting state, which can be visualized as "clusters" by high resolution imaging methods. Here, we explore how spatial in-homogeneities in the plasma membrane might influence the dimerization and phosphorylation status of ErbB2 and ErbB3, two receptor tyrosine kinases that preferentially heterodimerize and are often co-expressed in cancer. This theoretical study is based upon spatial stochastic simulations of the two-dimensional membrane landscape, where variables include differential distributions and overlap of transient confinement zones ("domains") for the two receptor species. The in silico model is parameterized and validated using data from single particle tracking experiments. We report key differences in signaling output based on the degree of overlap between domains and the relative retention of receptors in such domains, expressed as escape probability. Results predict that a high overlap of domains, which favors transient co-confinement of both receptor species, will enhance the rate of hetero-interactions. Where domains do not overlap, simulations confirm expectations that homo-interactions are favored. Since ErbB3 is uniquely dependent on ErbB2 interactions for activation of its catalytic activity, variations in domain overlap or escape probability markedly alter the predicted patterns and time course of ErbB3 and ErbB2 phosphorylation. Taken together, these results implicate membrane domain organization as an important modulator of signal initiation, motivating the design of novel experimental approaches to measure these important parameters across a wider range of receptor systems.

Indexed as

ErbB2ErbB3ErbB receptorsmembrane domainsspatial stochastic modeling

Identifiers

PMID27570763
PMCPMC4981600
OpenAlexW2516815115

What OpenQuestion holds

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LicenceCC BY
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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.