• DocumentCode
    662914
  • Title

    Molecular neural model recreates electrophysiology: Transcriptome-To-Physiome™ NeurobioSimulations using COPASI® software

  • Author

    Phelix, Clyde F. ; Villareal, Greg ; LeBaron, Richard G. ; Roberson, Dawnlee J.

  • Author_Institution
    Univ. of Texas at San Antonio, San Antonio, TX, USA
  • fYear
    2013
  • fDate
    6-8 Nov. 2013
  • Firstpage
    178
  • Lastpage
    181
  • Abstract
    A multi-compartmental molecular model has been developed for rodent basal forebrain cholinergic neurons with established gene expression levels. Reconstruction of neurons and network function were acquired using the Transcriptome-To-Physiome™ (TTP™) NeurobioSimulation. Gene expression values [NCBI GEO GSE 13379] were used to derive protein level and kinetic parameters for ligand and voltage gated ion channels in the TTP™ NeurobioSimulator Model using COPASI® software. Global parameters for membrane potential used permeability and ion concentrations inside and outside of the membrane in the Goldman-Hodgkin-Katz equation. Four compartments of the model neuron are included: glutamate synapse, distal dendrite, proximal dendrite, and axon hillock. The simulation of a voltage-gated sodium channel activation, and inactivated states of distal dendrites of cholinergic modeled neurons depends on the excitatory postsynaptic potential (EPSP) event. This distally activated event yielded temporally relevant proximal dendritic activation and inactivation of voltage-gated sodium and potassium channels in the reconstructed neuron. Graded potentials showed temporal summation and a classic action potential occurs at the axon hillock with sodium and potassium fluxes as expected. In future studies, we will reconstruct the electrophysiology of vulnerable neuronal populations in the diseased brain and compare them to controls thus lending substantial insight into molecular and network function corollary to neuropathogenesis.
  • Keywords
    biochemistry; bioelectric potentials; biomembrane transport; brain; digital simulation; diseases; genetics; medical computing; molecular biophysics; neurophysiology; permeability; proteins; COPASI software; EPSP event; Goldman-Hodgkin-Katz equation; NCBI GEO GSE 13379; TTP NeurobioSimulation model; Transcriptome-To-Physiome™ NeurobioSimulation; axon hillock; cholinergic modeled neurons; diseased brain; distal dendrite; distal dendrite inactivated states; electrophysiology reconstruction; excitatory postsynaptic potential event; gene expression levels; glutamate synapse; graded potentials; ion concentrations; kinetic parameters; ligand; membrane potential; multicompartmental molecular neural model; network function; network function corollary; neuron reconstruction; neuropathogenesis; permeability; potassium flux; protein level; proximal dendrite; rodent basal forebrain cholinergic neurons; sodium flux; temporally relevant proximal dendritic activation; voltage gated ion channels; voltage-gated potassium channel inactivation; voltage-gated sodium channel activation; voltage-gated sodium channel inactivation; vulnerable neuronal populations; Biological system modeling; Biomembranes; Computational modeling; Electric potential; Mathematical model; Nerve fibers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1948-3546
  • Type

    conf

  • DOI
    10.1109/NER.2013.6695901
  • Filename
    6695901