ArticleJournal of molecular histology2004
Monte Carlo simulations of receptor dynamics: insights into cell signaling.
Article in Journal of molecular histology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 27 citations in OpenAlex.
- Single-molecule labeling for studying trafficking of renal transporters.American journal of physiology. Renal physiology · 2018Review
- Mathematical simulation of membrane protein clustering for efficient signal transduction.Annals of biomedical engineering · 2012Review
- Integrin organization: linking adhesion ligand nanopatterns with altered cell responses.Journal of theoretical biology · 2011Article
- Monte Carlo simulations of plasma membrane corral-induced EGFR clustering.Journal of biotechnology · 2011Article
- Article
- Expression of excess receptors and negative feedback control of signal pathways are required for rapid activation and prompt cessation of signal transduction.Cell communication and signaling : CCS · 2009Article
- Spatial regulation and the rate of signal transduction activation.PLoS computational biology · 2006Article
- Reduced-order modelling of biochemical networks: application to the GTPase-cycle signalling module.Systems biology · 2005Article
- Cellular level models as tools for cytokine design.Biotechnology progressArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Many receptor-level processes involve the diffusion and reaction of receptors with other membrane-localized molecules. Monte Carlo simulation is a powerful technique that allows us to track the motions and discrete reactions of individual receptors, thus simulating receptor dynamics and the early events of signal transduction. In this paper, we discuss simulations of two receptor processes, receptor dimerization and G-protein activation. Our first set of simulations demonstrates how receptor dimerization can create clusters of receptors via partner switching and the relevance of this clustering for receptor cross-talk and integrin signaling. Our second set of simulations investigates the activation and desensitization of G-protein coupled receptors when either a single agonist or both an agonist and an antagonist are present. For G-protein coupled receptor systems in the presence of an agonist alone, the dissociation rate constant of agonist is predicted to affect the ratio of G-protein activation to receptor phosphorylation. Similarly, this ratio is affected by the antagonist dissociation rate constant when both agonist and antagonist are present. The relationship of simulation predictions to experimental findings and potential applications of our findings are also discussed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.