1. Catalog
  2. Nodes
  3. complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNE))

complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNE))

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

Components

Appears in Networks 1

albuquerque2009 v1.0.0

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

In-Edges 3

a(MESH:Muscles) association complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNE), loc(MESH:"Neuromuscular Junction")) View Subject | View Object

In the muscle, for example, despite the coexpression of as many as five distinct subunits, only receptors of well-defined stoichiometries are expressed: (alpha1)2beta1deltagamma in noninnervated muscle and (alpha1)2beta1deltaepsilon at mature neuromuscular synapses. PubMed:19126755

Appears in Networks:
Annotations
Text Location
Review

complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNE)) decreases deg(complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNE))) View Subject | View Object

The epsilon subunit protein outcompetes the gamma subunit for assembly into the receptor. The receptors assembled with the epsilon subunit are more stable to degradation, aggregate at the neuromuscular junction to greater density and exhibit a more rapid response to agonist (96, 275, 324). PubMed:19126755

Appears in Networks:
Annotations
Text Location
Review

r(HGNC:CHRNE) increases complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNE)) View Subject | View Object

The epsilon subunit protein outcompetes the gamma subunit for assembly into the receptor. The receptors assembled with the epsilon subunit are more stable to degradation, aggregate at the neuromuscular junction to greater density and exhibit a more rapid response to agonist (96, 275, 324). PubMed:19126755

Appears in Networks:
Annotations
Text Location
Review

Out-Edges 6

complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNE)) hasComponent p(HGNC:CHRNE) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNE)) hasComponent p(HGNC:CHRNA1) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNE)) hasComponent p(HGNC:CHRNB1) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNE)) hasComponent p(HGNC:CHRND) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNE), loc(MESH:"Neuromuscular Junction")) association a(MESH:Muscles) View Subject | View Object

In the muscle, for example, despite the coexpression of as many as five distinct subunits, only receptors of well-defined stoichiometries are expressed: (alpha1)2beta1deltagamma in noninnervated muscle and (alpha1)2beta1deltaepsilon at mature neuromuscular synapses. PubMed:19126755

Appears in Networks:
Annotations
Text Location
Review

complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNE)) decreases deg(complex(p(HGNC:CHRNA1), p(HGNC:CHRNA1), p(HGNC:CHRNB1), p(HGNC:CHRND), p(HGNC:CHRNE))) View Subject | View Object

The epsilon subunit protein outcompetes the gamma subunit for assembly into the receptor. The receptors assembled with the epsilon subunit are more stable to degradation, aggregate at the neuromuscular junction to greater density and exhibit a more rapid response to agonist (96, 275, 324). 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.