ArticleJournal of computational neuroscience2009
Modelling and sensitivity analysis of the reactions involving receptor, G-protein and effector in vertebrate olfactory receptor neurons.
Article in Journal of computational neuroscience, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Article
- A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience.Neuroinformatics · 2022Article
- A physicochemical model of odor sampling.PLoS computational biology · 2021Article
- A computational model for gonadotropin releasing cells in the teleost fish medaka.PLoS computational biology · 2019Article
- Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience.Frontiers in neuroinformatics · 2018Article
- Mechanisms of regulation of olfactory transduction and adaptation in the olfactory cilium.PloS one · 2014Article
- Common dynamical features of sensory adaptation in photoreceptors and olfactory sensory neurons.Scientific reports · 2013Article
- A dynamical feedback model for adaptation in the olfactory transduction pathway.Biophysical journal · 2012Article
- Event timing in associative learning: from biochemical reaction dynamics to behavioural observations.PloS one · 2012Article
- System identification of Drosophila olfactory sensory neurons.Journal of computational neuroscience · 2011Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A biochemical model of the receptor, G-protein and effector (RGE) interactions during transduction in the cilia of vertebrate olfactory receptor neurons (ORNs) was developed and calibrated to experimental recordings of cAMP levels and the receptor current (RC). The model describes the steps from odorant binding to activation of the effector enzyme which catalyzes the conversion of ATP to cAMP, and shows how odorant stimulation is amplified and delayed by the RGE transduction cascade. A time-dependent sensitivity analysis was performed on the model. The model output-the cAMP production rate-is particularly sensitive to a few, dominant parameters. During odorant stimulation it depends mainly on the initial density of G-proteins and the catalytic constant for cAMP production.
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