作者: A. Cintra , M. Zoli , L. Rosén , L.F. Agnati , S. Okret
DOI: 10.1016/0306-4522(94)90481-2
关键词: Central nervous system 、 Receptor 、 Neuroscience 、 Cerebellar cortex 、 Cerebral cortex 、 Glucocorticoid 、 Glucocorticoid receptor 、 Biology 、 Neuron 、 Neuroglia
摘要: By means of a monoclonal mouse immunoglobulin G2a antibody against the rat liver glucocorticoid receptor and indirect immunoperoxidase technique, distribution receptors in neuronal glial cell populations was mapped central nervous system male rat. The mapping complemented by computer-assisted morphometric microdensitometric evaluation immunoreactivity many brain regions. quantitative analysis allowed us to achieve for first time an objective characterization CNS, thus avoiding ambiguities previous studies based on subjective evaluations. In addition, taxonomic regions containing carried out utilizing parameters obtained evaluation. Nuclei cells were detected widespread, but still highly heterogeneous, fashion system, underlining view that glucocorticoids can control large number target via effects gene expression. Many nerve have been shown contain substantial amounts nuclear immunoreactivity, whereas only low density cells, both gray white matter, show immunoreactivity. Thus, most areas, major appears be cells. Interestingly, inverse correlation found regional receptor-immunoreactive suggesting may influence area either or, more frequently, cells. The results highlight impact areas traditionally not involved stress responses. also emphasizes role regulation afferent basal ganglia cerebellar cortex, efferent layers cerebral cortex. Glucocorticoid is widely distributed over thalamus, probably leading modulation activity various thalamocortical pathways transmittinginter alia specific sensory information unspecific afferents cortex are potentially regulated glucocortoid such as noradrenaline 5-hydroxytryptamine afferents, since their origin strong Eight involving sensory, motor limbic similarity with regard at level 95%. appeared main factor determining very high similarity. Overall, our emphasize appropriately tune networks different obtain optimal integration this way improve survival animal under challenging conditions.