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Gene expression profiling in the amygdala: An approach to examine the molecular substrates of mammalian behavior

The molecular substrates of behavior have been difficult to assess because of the large number of messenger RNAs (mRNAs) expressed in a given brain region, the heterogeneous composition of the CNS, and the complexity of mammalian behavior. To gain insight into the molecular components of behavior re...

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Bibliographic Details
Published in:Physiology & behavior 2001-08, Vol.73 (5), p.841-847
Main Authors: Dent, Gersham W, O'Dell, Dianne M, Eberwine, James H
Format: Article
Language:English
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Summary:The molecular substrates of behavior have been difficult to assess because of the large number of messenger RNAs (mRNAs) expressed in a given brain region, the heterogeneous composition of the CNS, and the complexity of mammalian behavior. To gain insight into the molecular components of behavior requires an understanding of the anatomy associated with a specific behavior and the ability to examine multiple gene expression in discrete brain regions. Neuroanatomical and behavioral studies have demonstrated that the amygdaloid complex is an essential component of the neural pathways mediating behaviors, such as fear, anxiety, learning, and memory. The amygdala is composed of several interconnected subnuclei and it is the modulation of information, as it flows through these subnuclei, that underlies amygdala function. To examine the molecular components of the amygdala, we have combined the antisense RNA (aRNA) amplification procedure with microarray technology. This experimental approach permits the simultaneous detection and quantification of numerous mRNAs in fixed tissue sections. Our initial experiment examines region-specific gene expression in naı̈ve mice in order to map the molecular relationship between the subregions of the amygdala. This report provides a general overview of the techniques used to examine regional gene expression, suggests future experiments, and describes a theoretical framework for examining the molecular analysis of behavior.
ISSN:0031-9384
1873-507X
DOI:10.1016/S0031-9384(01)00521-2