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p(HGNC:CHRNA6)

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

Entity

Name
CHRNA6
Namespace
hgnc
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/hgnc-names.belns

Appears in Networks 8

albuquerque2009 v1.0.0

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

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

Alzheimer's Disease: Targeting the Cholinergic System v1.0.0

Role of the nicotinic acetylcholine receptor in Alzheimer's disease pathology and treatment v1.0.1

NACHO Mediates Nicotinic Acetylcholine Receptor Function throughout the Brain v1.0.0

Cholinergic system during the progression of Alzheimer’s disease: therapeutic implications v1.0.0

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

Naturally-expressed nicotinic acetylcholine receptor subtypes v1.0.0

In-Edges 13

complex(a(MESH:methyllycaconitine), p(HGNC:CHRNA6)) hasComponent p(HGNC:CHRNA6) View Subject | View Object

Appears in Networks:

complex(a(MESH:methyllycaconitine), p(HGNC:CHRNA6)) decreases act(p(HGNC:CHRNA6, loc(MESH:Muscles))) View Subject | View Object

Finally, the alkaloid methyllycaconitine (MLA) emerged as a potent and specific competitive antagonist that inhibits muscle, alpha7-, alpha6-, and alpha3-containing nAChRs (30, 326, 445). The alkaloid is derived from the larkspur (genus Delphinium), which is of great economic interest since estimates of its cost to ranchers in poisoned livestock exceeds many millions of dollars annually. Similar to most nAChR poisons, MLA binds to the receptor agonistbinding site (Fig. 3) in a manner similar to that of alpha-BGT to block agonist binding and receptor activation. PubMed:19126755

Appears in Networks:
Annotations
Text Location
Review

complex(p(HGNC:CHRNA6), p(HGNC:CHRNB3)) hasComponent p(HGNC:CHRNA6) View Subject | View Object

Appears in Networks:

composite(p(HGNC:CHRNA4), p(HGNC:CHRNA6), p(HGNC:CHRNB2), p(HGNC:CHRNB3)) hasComponent p(HGNC:CHRNA6) View Subject | View Object

Appears in Networks:

complex(a(MESH:Bungarotoxins), p(HGNC:CHRNA6)) hasComponent p(HGNC:CHRNA6) View Subject | View Object

Appears in Networks:

p(FPLX:CHRN) hasMember p(HGNC:CHRNA6) View Subject | View Object

Appears in Networks:

p(GFAM:"Cholinergic receptors nicotinic subunits") hasMember p(HGNC:CHRNA6) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA4), p(HGNC:CHRNA6), p(HGNC:CHRNB2), p(HGNC:CHRNB3)) hasComponent p(HGNC:CHRNA6) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA6), p(HGNC:CHRNB2)) hasComponent p(HGNC:CHRNA6) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA6), p(HGNC:CHRNB2), p(HGNC:CHRNB3)) hasComponent p(HGNC:CHRNA6) View Subject | View Object

Appears in Networks:

sec(a(CHEBI:dopamine)) association p(HGNC:CHRNA6) View Subject | View Object

There is an emerging consensus that nAChR a6 subunit mRNA and proteins are distributed in brain regions thought to be involved in reward and drug reinforcement, in theory being involved in DA release [135]. PubMed:21787755

Appears in Networks:
Annotations
MeSH
Brain

bp(MESH:"Drug Interactions") association p(HGNC:CHRNA6) View Subject | View Object

There is an emerging consensus that nAChR a6 subunit mRNA and proteins are distributed in brain regions thought to be involved in reward and drug reinforcement, in theory being involved in DA release [135]. PubMed:21787755

Appears in Networks:
Annotations
MeSH
Brain

path(MESH:Reward) association p(HGNC:CHRNA6) View Subject | View Object

There is an emerging consensus that nAChR a6 subunit mRNA and proteins are distributed in brain regions thought to be involved in reward and drug reinforcement, in theory being involved in DA release [135]. PubMed:21787755

Appears in Networks:
Annotations
MeSH
Brain

Out-Edges 4

p(HGNC:CHRNA6) increases a(MESH:"Receptors, Nicotinic") View Subject | View Object

On the other hand, neuronal nicotinic receptors are formed by the combination of only two types of subunits (α2-10 and β2-4) PubMed:26813123

Appears in Networks:
Annotations
MeSH
Neurons

p(HGNC:CHRNA6) association path(MESH:Reward) View Subject | View Object

There is an emerging consensus that nAChR a6 subunit mRNA and proteins are distributed in brain regions thought to be involved in reward and drug reinforcement, in theory being involved in DA release [135]. PubMed:21787755

Appears in Networks:
Annotations
MeSH
Brain

p(HGNC:CHRNA6) association bp(MESH:"Drug Interactions") View Subject | View Object

There is an emerging consensus that nAChR a6 subunit mRNA and proteins are distributed in brain regions thought to be involved in reward and drug reinforcement, in theory being involved in DA release [135]. PubMed:21787755

Appears in Networks:
Annotations
MeSH
Brain

p(HGNC:CHRNA6) association sec(a(CHEBI:dopamine)) View Subject | View Object

There is an emerging consensus that nAChR a6 subunit mRNA and proteins are distributed in brain regions thought to be involved in reward and drug reinforcement, in theory being involved in DA release [135]. PubMed:21787755

Appears in Networks:
Annotations
MeSH
Brain

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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.