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Entity

Name
alpha-6 alpha-4 beta-2 beta-3 nAChR
Namespace
HBP
Namespace Version
20181221
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/bd0996a28201cad363557315043c6392e31abf58/export/hbp-names.belns

Appears in Networks 2

albuquerque2009 v1.0.0

This file encodes the article Mammalian Nicotinic Acetylcholine Receptors: From Structure to Function by Albuquerque et al, 2009

Nicotinic receptors: allosteric transitions and therapeutic targets in the nervous system v1.0.0

This document contains the curation of the review article Nicotinic receptors: allosteric transitions and therapeutic targets in the nervous system by Taly et al. 2009

In-Edges 1

path(MESH:"Parkinson Disease") association p(HBP:"alpha-6 alpha-4 beta-2 beta-3 nAChR", loc(MESH:"Basal Ganglia")) View Subject | View Object

In the basal ganglia, including the ventral tegmental area (VTA) and substantia nigra, the alpha6 and possibly the beta3 nAChR subunits are included in alpha4beta2 nAChR complexes to generate highaffinity receptors. At present, this is the only brain area identified where alpha6 and beta3 are coexpressed with alpha4 and beta2 nAChR subunits. This finding is highly relevant for Parkinson’s disease (385, 386). PubMed:19126755

Appears in Networks:
Annotations
Text Location
Review

Out-Edges 1

p(HBP:"alpha-6 alpha-4 beta-2 beta-3 nAChR", loc(MESH:"Basal Ganglia")) association path(MESH:"Parkinson Disease") View Subject | View Object

In the basal ganglia, including the ventral tegmental area (VTA) and substantia nigra, the alpha6 and possibly the beta3 nAChR subunits are included in alpha4beta2 nAChR complexes to generate highaffinity receptors. At present, this is the only brain area identified where alpha6 and beta3 are coexpressed with alpha4 and beta2 nAChR subunits. This finding is highly relevant for Parkinson’s disease (385, 386). PubMed:19126755

Appears in Networks:
Annotations
Text Location
Review

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.