Three-dimensional autoradiographic localization of quench-corrected glycine receptor specific activity in the mouse brain using 3H-strychnine as the ligand

W. Frost White, Steven O'Gorman, Anna W. Roe

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

The autoradiographic analysis of neurotransmitter receptor distribution is a powerful technique that provides extensive information on the localization of neurotransmitter systems. Computer methodologies are described for the analysis of autoradiographic material which include quench correction, 3-dimensional display, and quantification based on anatomical boundaries determined from the tissue sections. These methodologies are applied to the problem of the distribution of glycine receptors measured by 3H-strychnine binding in the mouse CNS. The most distinctive feature of this distribution is its marked caudorostral gradient. The highest densities of binding sites within this gradient were seen in somatic motor and sensory areas; high densities of binding were seen in branchial efferent and special sensory areas. Moderate levels were seen in nuclei related to visceral function. Densities within the reticular formation paralleled the overall gradient with high to moderate levels of binding. The colliculi had low and the diencephalon had very low levels of binding. No binding was seen in the cerebellum or the telencephalon with the exception of the amygdala, which had very low levels of specific binding. This distribution of glycine receptors correlates well with the known functional distribution of glycine synaptic function. These data are illustrated in 3 dimensions and discussed in terms of the significance of the analysis techniques on this type of data as well as the functional significance of the distribution of glycine receptors.

Original languageEnglish (US)
Pages (from-to)795-813
Number of pages19
JournalJournal of Neuroscience
Volume10
Issue number3
StatePublished - 1990
Externally publishedYes

ASJC Scopus subject areas

  • General Neuroscience

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