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p(MESH:"Receptors, GABA")

Equivalencies: 0 | Classes: 0 | Children: 0 | Explore

Entity

Name
Receptors, GABA
Namespace
mesh
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/mesh-names.belns

Appears in Networks 2

The Nicotinic Acetylcholine Receptor: The Founding Father of the Pentameric Ligand-gated Ion Channel Superfamily v1.0.1

Neuronal and Extraneuronal Nicotinic Acetylcholine Receptors. v1.0.0

In-Edges 3

a(MESH:Anesthetics) increases p(MESH:"Receptors, GABA") View Subject | View Object

General anesthetics (both intravenous and volatile) negatively modulate excitatory nAChRs but posi- tively enhance inhibitory GABA receptors. PubMed:23038257

Appears in Networks:

a(MESH:Nicotine) increases p(MESH:"Receptors, GABA") View Subject | View Object

By activating the α4β2 receptors on inhibitory GABAergic inputs to the VTA or GABAergic interneurons, smoked concentrations of nicotine transiently increase the release of GABA and subse- quently depress it for about one hour PubMed:28901280

Appears in Networks:
Annotations
MeSH
GABAergic Neurons

a(MESH:Nicotine) decreases p(MESH:"Receptors, GABA") View Subject | View Object

By activating the α4β2 receptors on inhibitory GABAergic inputs to the VTA or GABAergic interneurons, smoked concentrations of nicotine transiently increase the release of GABA and subse- quently depress it for about one hour PubMed:28901280

Appears in Networks:
Annotations
MeSH
GABAergic Neurons

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.