, Volume 38, Issue 3, pp 182–185 | Cite as

Estimation of the number of synaptic vesicles in asymmetric synapses between hippocampal neurons

  • A. G. Nikonenko
  • G. G. Skibo


Within the framework of the quantum hypothesis of synaptic transmission, the amount of a neurotransmitter released in a unitary event of calcium-dependent exocytosis corresponds to the content of a synaptic vesicle (SV). The number of these organelles in the presynaptic terminal is an important index characterizing the functional state of the given synapse. The technique of estimation of the dimension of the total SV pool, which is based on mathematical modeling and is realized in a computer experiment, is described. This technique allows one to interpret quantitative estimations obtained in the course of the analysis of images of random ultrathin sections of presynaptic terminals in the terms of 3D space. The capabilities of this technique are illustrated using an example of estimation of the size of the total SV pool in asymmetric synapses between neurons of the radial layer of the murine hippocampal CA1 area.


hippocampus computer simulation synaptic vesicles 


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  1. 1.
    V. H. Murthy, “Optical detection of synaptic vesicle exocytosis and endocytosis,” Curr. Opin. Neurobiol., 9, No. 2, 314–320 (1999).PubMedCrossRefGoogle Scholar
  2. 2.
    T. C. Südhof, “The synaptic vesicle cycle: a cascade of protein-protein interactions,” Nature, 375, No. 6533, 645–653 (1995).PubMedCrossRefGoogle Scholar
  3. 3.
    K. M. Harris and P. Sultan, “Variations in the number, location and size of synaptic vesicles provide an anatomical basis for the nonuniform probability of release at hippocampal CA1 synapses,” Neuropharmacology, 34, No. 11, 1387–1395 (1995).PubMedCrossRefGoogle Scholar
  4. 4.
    A. Mason, I. A. Ilinsky, S. Beck, and K. Kultas-Ilinsky, “Reevaluation of synaptic relationships of cerebellar terminals in the ventral lateral nucleus of the rhesus monkey thalamus based on serial section analysis and three-dimensional reconstruction,” Exp. Brain Res., 109, No. 2, 219–239 (1996).PubMedCrossRefGoogle Scholar
  5. 5.
    D. Lenzi, J. W. Runyeon, J. Crum, et al., “Synaptic vesicle populations in saccular hair cells reconstructed by electron tomography,” J. Neurosci., 19, No. 1, 119–132 (1999).PubMedGoogle Scholar
  6. 6.
    A. G. Nikonenko and G. G. Skibo, “Technique to quantify local clustering of synaptic vesicles using single section data,” J. Microscop. Res. Tech., 65, No. 6, 287–291 (2004).CrossRefGoogle Scholar
  7. 7.
    M. R. Bennett and J. L. Kearns, “Statistics of transmitter release at nerve terminals,” Prog. Neurobiol., 60, No. 6, 545–606 (2000).PubMedCrossRefGoogle Scholar
  8. 8.
    A. G. Nikonenko, “Technique to study three-dimensional spatial arrangement of synaptic vesicles using data from single sections,” J. Microscop. Res. Tech., 62, No. 3, 201–210 (2003).CrossRefGoogle Scholar
  9. 9.
    A. G. Nikonenko, “Computer simulation as a tool in evaluating intracellular spatial arrangement of an organelle using random section data,” J. Microscop. Res. Tech., 42, No. 6, 201–210 (2003).CrossRefGoogle Scholar
  10. 10.
    T. Schikorski and C. F. Stevents, “Quantitative ultrastructural analysis of hippocampal excitatory synapses,” J. Neurosci., 17, No. 15, 5858–5867 (1997).PubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  1. 1.Bogomolets Institute of PhysiologyNational Academy of Sciences of UkraineKyivUkraine

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