Literature DB >> 19533315

Modelling and sensitivity analysis of the reactions involving receptor, G-protein and effector in vertebrate olfactory receptor neurons.

Geir Halnes1, Erik Ulfhielm, Emma Eklöf Ljunggren, Jeanette Hellgren Kotaleski, Jean-Pierre Rospars.   

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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Year:  2009        PMID: 19533315     DOI: 10.1007/s10827-009-0162-6

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  35 in total

Review 1.  Spike encoding of olfactory receptor cells.

Authors:  Kenji Narusuye; Fusao Kawai; Ei-ichi Miyachi
Journal:  Neurosci Res       Date:  2003-08       Impact factor: 3.304

Review 2.  G-protein cascades: gain and kinetics.

Authors:  T D Lamb; E N Pugh
Journal:  Trends Neurosci       Date:  1992-08       Impact factor: 13.837

3.  Computational model of the cAMP-mediated sensory response and calcium-dependent adaptation in vertebrate olfactory receptor neurons.

Authors:  Daniel P Dougherty; Geraldine A Wright; Alice C Yew
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-18       Impact factor: 11.205

4.  Modelling the early steps of transduction in insect olfactory receptor neurons.

Authors:  Jean-Pierre Rospars; Philippe Lucas; Mathieu Coppey
Journal:  Biosystems       Date:  2006-11-12       Impact factor: 1.973

5.  A cyclic nucleotide-gated conductance in olfactory receptor cilia.

Authors:  T Nakamura; G H Gold
Journal:  Nature       Date:  1987 Jan 29-Feb 4       Impact factor: 49.962

6.  Response properties of isolated mouse olfactory receptor cells.

Authors:  J Reisert; H R Matthews
Journal:  J Physiol       Date:  2001-01-01       Impact factor: 5.182

7.  Cyclic AMP diffusion coefficient in frog olfactory cilia.

Authors:  C Chen; T Nakamura; Y Koutalos
Journal:  Biophys J       Date:  1999-05       Impact factor: 4.033

8.  The odorant-sensitive adenylate cyclase of olfactory receptor cells. Differential stimulation by distinct classes of odorants.

Authors:  P B Sklar; R R Anholt; S H Snyder
Journal:  J Biol Chem       Date:  1986-11-25       Impact factor: 5.157

9.  Contribution of the ciliary cyclic nucleotide-gated conductance to olfactory transduction in the salamander.

Authors:  G Lowe; G H Gold
Journal:  J Physiol       Date:  1993-03       Impact factor: 5.182

10.  The relation between stimulus and response in olfactory receptor cells of the tiger salamander.

Authors:  S Firestein; C Picco; A Menini
Journal:  J Physiol       Date:  1993-08       Impact factor: 5.182

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  10 in total

1.  A dynamical feedback model for adaptation in the olfactory transduction pathway.

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Journal:  Biophys J       Date:  2012-06-19       Impact factor: 4.033

2.  System identification of Drosophila olfactory sensory neurons.

Authors:  Anmo J Kim; Aurel A Lazar; Yevgeniy B Slutskiy
Journal:  J Comput Neurosci       Date:  2010-08-21       Impact factor: 1.621

3.  Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows.

Authors:  Olivia Eriksson; Upinder Singh Bhalla; Kim T Blackwell; Sharon M Crook; Daniel Keller; Andrei Kramer; Marja-Leena Linne; Ausra Saudargienė; Rebecca C Wade; Jeanette Hellgren Kotaleski
Journal:  Elife       Date:  2022-07-06       Impact factor: 8.713

4.  Event timing in associative learning: from biochemical reaction dynamics to behavioural observations.

Authors:  Ayse Yarali; Johannes Nehrkorn; Hiromu Tanimoto; Andreas V M Herz
Journal:  PLoS One       Date:  2012-03-30       Impact factor: 3.240

5.  Mechanisms of regulation of olfactory transduction and adaptation in the olfactory cilium.

Authors:  Gabriela Antunes; Ana Maria Sebastião; Fabio Marques Simoes de Souza
Journal:  PLoS One       Date:  2014-08-21       Impact factor: 3.240

6.  Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience.

Authors:  Simen Tennøe; Geir Halnes; Gaute T Einevoll
Journal:  Front Neuroinform       Date:  2018-08-14       Impact factor: 4.081

7.  A computational model for gonadotropin releasing cells in the teleost fish medaka.

Authors:  Geir Halnes; Simen Tennøe; Trude M Haug; Gaute T Einevoll; Finn-Arne Weltzien; Kjetil Hodne
Journal:  PLoS Comput Biol       Date:  2019-08-22       Impact factor: 4.475

8.  A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience.

Authors:  João P G Santos; Kadri Pajo; Daniel Trpevski; Andrey Stepaniuk; Olivia Eriksson; Anu G Nair; Daniel Keller; Jeanette Hellgren Kotaleski; Andrei Kramer
Journal:  Neuroinformatics       Date:  2021-10-28

9.  Common dynamical features of sensory adaptation in photoreceptors and olfactory sensory neurons.

Authors:  Giovanna De Palo; Giuseppe Facchetti; Monica Mazzolini; Anna Menini; Vincent Torre; Claudio Altafini
Journal:  Sci Rep       Date:  2013-02-13       Impact factor: 4.379

10.  A physicochemical model of odor sampling.

Authors:  Mitchell E Gronowitz; Adam Liu; Qiang Qiu; C Ron Yu; Thomas A Cleland
Journal:  PLoS Comput Biol       Date:  2021-06-11       Impact factor: 4.475

  10 in total

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