Published June 2007 | Version v1
Journal article

Integral equation models for the inverse problem of biological ion channel distributions

  • 1. Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH 45221-0025 (United States)
  • 2. School of Science and Mathematics, The Citadel, Charleston, SC 29409 (United States)

Description

Olfactory cilia are thin hair-like filaments that extend from olfactory receptor neurons into the nasal mucus. Transduction of an odor into an electrical signal is accomplished by a depolarizing influx of ions through cyclic-nucleotide-gated channels in the membrane that forms the lateral surface of the cilium. In an experimental procedure developed by S. Kleene, a cilium is detached at its base and drawn into a recording pipette. The cilium base is then immersed in a bath of a channel activating agent (cAMP) which is allowed to diffuse into the cilium interior, opening channels as it goes and initiating a transmembrane current. The total current is recorded as a function of time and serves as data for a nonlinear integral equation of the first kind modeling the spatial distribution of ion channels along the length of the cilium. We discuss some linear Fredholm integral equations that result from simplifications of this model. A numerical procedure is proposed for a class of integral equations suggested by this simplified model and numerical results using simulated and laboratory data are presented

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
73
Journal Issue
1
Journal Page Range
p. 012006
ISSN
1742-6596

Conference

Title
Inverse problems in applied sciences - towards breakthrough
Dates
3-7 Jul 2006
Place
Sapporo (Japan)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
39026524
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CELL MEMBRANES; COMPUTERIZED SIMULATION; ELECTRIC CURRENTS; INTEGRAL EQUATIONS; IONS; NERVE CELLS; NONLINEAR PROBLEMS; RECEPTORS; SPATIAL DISTRIBUTION; TIME DEPENDENCE
Descriptors DEC
ANIMAL CELLS; CELL CONSTITUENTS; CHARGED PARTICLES; CURRENTS; DISTRIBUTION; EQUATIONS; MEMBRANE PROTEINS; MEMBRANES; ORGANIC COMPOUNDS; PROTEINS; SIMULATION; SOMATIC CELLS