ArticleJournal of the Royal Society, Interface2006
Stochastic models of receptor oligomerization by bivalent ligand.
Article in Journal of the Royal Society, Interface, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Quantifying the phosphorylation timescales of receptor-ligand complexes: a Markovian matrix-analytic approach.Open biology · 2018Article
- From invasion to latency: intracellular noise and cell motility as key controls of the competition between resource-limited cellular populations.Journal of mathematical biology · 2016Article
- Pharmacogenomics of EGFR-targeted therapies in non-small cell lung cancer: EGFR and beyond.Chinese journal of cancer · 2015Review
- Noise in cellular signaling pathways: causes and effects.Trends in biochemical sciences · 2012Review
- Monte Carlo study of B-cell receptor clustering mediated by antigen crosslinking and directed transport.Cellular & molecular immunology · 2011Article
- Genetic noise control via protein oligomerization.BMC systems biology · 2008Article
- Mathematical models of the VEGF receptor and its role in cancer therapy.Journal of the Royal Society, Interface · 2007Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we develop stochastic models of receptor binding by a bivalent ligand. A detailed kinetic study allows us to analyse the role of cross-linking in cell activation by receptor oligomerization. We show how oligomer formation could act to buffer intracellular signalling against stochastic fluctuations. In addition, we put forward the hypothesis that formation of long linear oligomers increases the range of ligand concentration to which the cell is responsive, whereas formation of closed oligomers increases ligand concentration specificity. Thus, different physiological functions requiring different degrees of specificity to ligand concentration would favour formation of oligomers with different lengths and geometries. Furthermore, provided that ligand concentration specificity is taken as a design principle, our model enables us to estimate parameters, such as the minimum proportion of receptors, that must engage in oligomer formation in order to trigger a cellular response.
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Registered trials
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