1. Catalog
  2. Nodes
  3. a(HBP:"alpha-7 beta-2 nAChR")

a(HBP:"alpha-7 beta-2 nAChR")

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

Entity

Name
alpha-7 beta-2 nAChR
Namespace
HBP
Namespace Version
20181212
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/56d6631d06deeead416b3b5100d3b4b8d88c29c6/export/hbp-names.belns

Appears in Networks 2

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

Naturally-expressed nicotinic acetylcholine receptor subtypes v1.0.0

In-Edges 4

act(a(CHEBI:"amyloid-beta")) negativeCorrelation a(HBP:"alpha-7 beta-2 nAChR") View Subject | View Object

This class of receptors seems to be particularly sensitive to Abeta-induced toxicity (Khiroug et al., 2002; Liu et al.,2009, 2012) PubMed:25514383

Appears in Networks:

complex(p(HGNC:CHRNA7), p(HGNC:CHRNB2)) increases a(HBP:"alpha-7 beta-2 nAChR") View Subject | View Object

In addition to the alpha4beta2 subtype, it was demonstrated that the alpha7 subunit is able to coassemble with the beta2 subunit to form a heteropentameric receptor PubMed:25514383

Appears in Networks:

complex(p(HGNC:CHRNA7), p(HGNC:CHRNB2)) increases surf(a(HBP:"alpha-7 beta-2 nAChR")) View Subject | View Object

Under these experimental conditions, alpha7 and beta2 are able to co-assemble into a functional receptor that localizes at the cell surface PubMed:25514383

Appears in Networks:

complex(a(CHEBI:"amyloid-beta"), a(HBP:"alpha-7 beta-2 nAChR")) hasComponent a(HBP:"alpha-7 beta-2 nAChR") View Subject | View Object

Appears in Networks:

Out-Edges 1

a(HBP:"alpha-7 beta-2 nAChR") negativeCorrelation act(a(CHEBI:"amyloid-beta")) View Subject | View Object

This class of receptors seems to be particularly sensitive to Abeta-induced toxicity (Khiroug et al., 2002; Liu et al.,2009, 2012) PubMed:25514383

Appears in Networks:

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.