Evidence map›Paper›PMID 22669501›Full record

ReviewAnnals of biomedical engineering2012

Mathematical simulation of membrane protein clustering for efficient signal transduction.

Krishnan Radhakrishnan, Ádám Halász, Meghan M McCabe, Jeremy S Edwards, Bridget S Wilson

Abstract readReview
In one paragraph

Review in Annals of biomedical engineering, 2012. 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
–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

12 citing papers in PubMed.

  1. Article
  2. Engineering a Novel Probiotic Toolkit inACS synthetic biology · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. Rhodopsin Oligomerization and Aggregation.The Journal of membrane biology · 2019
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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.

Krishnan RadhakrishnanDepartment of Pathology, University of New Mexico, Albuquerque, NM, USA.
Ádám Halász
Meghan M McCabe
Jeremy S Edwards
Bridget S Wilson

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
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 CA119232NCI NIH HHS R01CA119323NIGMS NIH HHS P50 GM085273NIGMS NIH HHS P50GM085273
6 · The paper itself

Abstract

Initiation and propagation of cell signaling depend on productive interactions among signaling proteins at the plasma membrane. These diffusion-limited interactions can be influenced by features of the membrane that introduce barriers, such as cytoskeletal corrals, or microdomains that transiently confine both transmembrane receptors and membrane-tethered peripheral proteins. Membrane topographical features can lead to clustering of receptors and other membrane components, even under very dynamic conditions. This review considers the experimental and mathematical evidence that protein clustering impacts cell signaling in complex ways. Simulation approaches used to consider these stochastic processes are discussed.

Indexed as

Models, BiologicalCell MembraneComputer SimulationHumansMembrane ProteinsSignal TransductionMembrane Proteins

Identifiers

PMID22669501
PMCPMC3822010

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.