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p(RGD:Drd2)

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Entity

Name
Drd2
Namespace
rgd
Namespace Version
20181021
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/f2f993e599694ab5ce989cc39d789a499f75db99/external/rgd-names.belns

Appears in Networks 1

The CRF1 receptor antagonist, antalarmin, reverses isolation-induced up-regulation of dopamine D2 receptors in the amygdala and nucleus accumbens of fawn-hooded rats v1.0.0

In-Edges 4

a(MESH:antalarmin) increases p(RGD:Drd2) View Subject | View Object

antalarmin increased dopamine D2 ⁄ 3 binding in the CPu (+7%, P < 0.001; Fig. 3C) and olfactory tubercle (OT; +15%, P 1⁄4 0.006; Fig. 3D) of group-housed rats. PubMed:16820021

Appears in Networks:
Annotations
MeSH
Neostriatum
MeSH
Olfactory Tubercle

a(MESH:antalarmin) decreases p(RGD:Drd2) View Subject | View Object

Antalar- min treatment reversed this effect and returned dopamine D2 ⁄ 3 receptor density levels back to those of the vehicle-treated GH rats. PubMed:16820021

Appears in Networks:
Annotations
MeSH
Nucleus Accumbens

path(HBP:"isolation rearing") increases p(RGD:Drd2) View Subject | View Object

Isolation rearing caused an up-regulation of dopamine D2 ⁄ 3 receptors in both the core (+20%; F1,144 1⁄4 31.176, P < 0.001; Fig. 3A) and shell (+25%; F1,148 1⁄4 35.233, P < 0.001; Fig. 3B) of the NAcc. PubMed:16820021

Appears in Networks:
Annotations
MeSH
Nucleus Accumbens

path(HBP:"isolation rearing") increases p(RGD:Drd2) View Subject | View Object

Furthermore a significant interaction was found between housing and treatment in both the central nucleus of the amygdala (CeA; F1,139 1⁄4 11.560, P < 0.001; Fig. 3F) and basolateral amygdala (BLA; F1,137 1⁄4 7.616, P 1⁄4 0.007; Fig. 3E).Thus, isolation caused an up-regulation in dopamine D2 ⁄ 3 receptors in these regions, an effect that was reversed by antalarmin treatment (but only reached statistical significance in the CeA). PubMed:16820021

Appears in Networks:
Annotations
MeSH
Nucleus Accumbens

Out-Edges 0

About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.