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

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Pituitary endocrine cells fire action potentials (APs) to regulate their cytosolic Ca 2+ concentration and hormone secretion rate. Depending on animal species, cell type, and biological conditions, pituitary APs are generated either by TTX-sensitive Na + currents ( I Na ), high-voltage activated Ca 2+ currents ( I Ca ), or by a combination of the two. Previous computational models of pituitary cells have mainly been based on data from rats, where I Na is largely inactivated at the resting potential, and spontaneous APs are predominantly mediated by I Ca . Unlike in rats, spontaneous I Na -mediated APs are consistently seen in pituitary cells of several other animal species, including several species of fish. In the current work we develop a computational model of gonadotropin releasing cells in the teleost fish medaka ( Oryzias latipes). The model stands out from previous modeling efforts by being (1) the first model of a pituitary cell in teleosts, (2) the first pituitary cell model that fires sponateous APs that are predominantly mediated by I Na , and (3) the first pituitary cell model where the kinetics of the depolarizing currents, I Na and I Ca , are directly fitted to voltage-clamp data. We explore the firing properties of the model, and compare it to the properties of previous models that fire I Ca -based APs. We put a particular focus on how the big conductance K + current ( I BK ) modulates the AP shape. Interestingly, we find that I BK can prolong AP duration in models that fire I Ca -based APs, while it consistently shortens the duration of the predominantly I Na -mediated APs in the medaka gonadotroph model. Although the model is constrained to experimental data from gonadotroph cells in medaka, it may likely provide insights also into other pituitary cell types that fire I Na -mediated APs.

          Author summary

          Excitable cells elicit electrical pulses called action potentials (APs), which are generated and shaped by a combination of ion channels in the cell membrane. Since one type of ion channels is permeable to Ca 2+ ions, there is typically an influx of Ca 2+ during an AP. Pituitary cells therefore use AP firing to regulate their cytosolic Ca 2+ concentration, which in turn controls their hormone secretion rate. The amount of Ca 2+ that enters during an AP depends strongly on how long it lasts, and it is therefore important to understand the mechanisms that control this. Pituitary APs are generally mediated by a combination of Ca 2+ channels and Na + channels, and the relative contributions of from the two vary between cell types, animal species and biological conditions. Previous computer models have predominantly been adapted to data from pituitary cells which tend to fire Ca 2+-based APs. Here we develop a new model, adapted to data from pituitary cells in the fish medaka, which APs that are predominantly Na +-based, and compare its dynamical properties to the previous models that fire Ca 2+-based APs.

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          Most cited references54

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          The effect of sodium ions on the electrical activity of the giant axon of the squid

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            NEURON and Python

            The NEURON simulation program now allows Python to be used, alone or in combination with NEURON's traditional Hoc interpreter. Adding Python to NEURON has the immediate benefit of making available a very extensive suite of analysis tools written for engineering and science. It also catalyzes NEURON software development by offering users a modern programming tool that is recognized for its flexibility and power to create and maintain complex programs. At the same time, nothing is lost because all existing models written in Hoc, including graphical user interface tools, continue to work without change and are also available within the Python context. An example of the benefits of Python availability is the use of the xml module in implementing NEURON's Import3D and CellBuild tools to read MorphML and NeuroML model specifications.
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              Channels underlying neuronal calcium-activated potassium currents.

              In many cell types rises in cytosolic calcium, either due to influx from the extracellular space, or by release from an intracellular store activates calcium dependent potassium currents on the plasmalemma. In neurons, these currents are largely activated following calcium influx via voltage gated calcium channels active during the action potentials. Three types of these currents are known: I(c), I(AHP) and I(sAHP). These currents can be distinguished by clear differences in their pharmacology and kinetics. Activation of these potassium currents modulates action potential time course and the repetitive firing properties of neurons. Single channel studies have identified two types of calcium-activated potassium channel which can also be separated on biophysical and pharmacological grounds and have been named BK and SK channels. It is now clear that BK channels underlie I(c) whereas SK channels underlie I(AHP). The identity of the channels underlying I(sAHP) are not known. In this review, we discuss the properties of the different types of calcium-activated potassium channels and the relationship between these channels and the macroscopic currents present in neurons.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Comput Biol
                PLoS Comput. Biol
                plos
                ploscomp
                PLoS Computational Biology
                Public Library of Science (San Francisco, CA USA )
                1553-734X
                1553-7358
                August 2019
                22 August 2019
                : 15
                : 8
                : e1006662
                Affiliations
                [1 ] Faculty for Science and Technology, Norwegian University of Life Sciences, Ås, Norway
                [2 ] Centre for Integrative Neuroplasticity, University of Oslo, Oslo, Norway
                [3 ] Department of Informatics, University of Oslo, Oslo, Norway
                [4 ] Institute of Oral Biology, University of Oslo, Oslo, Norway
                [5 ] Department of Physics, University of Oslo, Oslo, Norway
                [6 ] Department of Basic Sciences and Aquatic Medicine, Norwegian University of Life Sciences, Campus Adamstuen, Oslo, Norway
                University of Edinburgh, UNITED KINGDOM
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-4721-1599
                http://orcid.org/0000-0002-0120-8992
                http://orcid.org/0000-0003-3776-5077
                http://orcid.org/0000-0002-5425-5012
                http://orcid.org/0000-0002-5111-1558
                http://orcid.org/0000-0001-8528-9728
                Article
                PCOMPBIOL-D-18-01968
                10.1371/journal.pcbi.1006662
                6726249
                31437161
                45e33ff3-e381-4ec0-8c0a-898b4a5d46ae
                © 2019 Halnes et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 21 November 2018
                : 1 August 2019
                Page count
                Figures: 9, Tables: 3, Pages: 28
                Funding
                This work was funded by the Research Council of Norway ( https://www.forskningsradet.no) via (1) the BIOTEK2021 Digital Life project`DigiBrain’, grant no 248828 (received by GTE and F-AW), and (2) the Aquaculture program, grant no 244461 (received by KH). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Anatomy
                Endocrine System
                Pituitary Gland
                Medicine and Health Sciences
                Anatomy
                Endocrine System
                Pituitary Gland
                Biology and Life Sciences
                Anatomy
                Nervous System
                Neuroanatomy
                Pituitary Gland
                Medicine and Health Sciences
                Anatomy
                Nervous System
                Neuroanatomy
                Pituitary Gland
                Biology and Life Sciences
                Neuroscience
                Neuroanatomy
                Pituitary Gland
                Biology and Life Sciences
                Physiology
                Electrophysiology
                Membrane Potential
                Action Potentials
                Medicine and Health Sciences
                Physiology
                Electrophysiology
                Membrane Potential
                Action Potentials
                Biology and Life Sciences
                Physiology
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                Neurophysiology
                Action Potentials
                Medicine and Health Sciences
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                Physiology
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                Medicine and Health Sciences
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                Research and Analysis Methods
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                Research and Analysis Methods
                Animal Studies
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                Custom metadata
                vor-update-to-uncorrected-proof
                2019-09-04
                All relevant data are within the manuscript.

                Quantitative & Systems biology
                Quantitative & Systems biology

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