1. Catalog
  2. Nodes
  3. complex(p(HGNC:CHRNA7), p(HGNC:GNAQ))

complex(p(HGNC:CHRNA7), p(HGNC:GNAQ))

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

Components

Appears in Networks 1

Identification and Characterization of a G Protein-binding Cluster in alpha7 Nicotinic Acetylcholine Receptors v1.0.0

In-Edges 3

a(CHEBI:choline) decreases complex(p(HGNC:CHRNA7), p(HGNC:GNAQ)) View Subject | View Object

As shown in Fig. 8, A and B, IP of the α7 using the C-20 antibody suggests that choline application attenuates G protein binding with the nAChR. Choline treatment resulted in a 56% reduction in Gαq and 47% reduction in Gβ association within the α7 nAChR complex (Fig. 8B). PubMed:26088141

Appears in Networks:

p(HGNC:CHRNA7) increases complex(p(HGNC:CHRNA7), p(HGNC:GNAQ)) View Subject | View Object

An increase in G protein association within the α7 complex was observed in α7+ cells (Gαq +16.71%; Gβγ +19.90%) (Fig. 3A). Similar findings in transfected N2a cells indicate a loss in G protein association within the α7 complex when α7345–348A nAChRs are expressed (Fig. 3B). PubMed:26088141

Appears in Networks:

p(HGNC:GNAQ) increases complex(p(HGNC:CHRNA7), p(HGNC:GNAQ)) View Subject | View Object

As shown in Fig. 1A, α7 nAChRs were found in association with Gαs, Gαq, and Gαi proteins within the hippocampus and prefrontal cortex. Striatal fractions suggest α7 interaction with Gαq and Gαi subunits (Fig. 1A). PubMed:26088141

Appears in Networks:
Annotations
MeSH
Hippocampus
MeSH
Prefrontal Cortex

Out-Edges 2

complex(p(HGNC:CHRNA7), p(HGNC:GNAQ)) hasComponent p(HGNC:CHRNA7) View Subject | View Object

Appears in Networks:

complex(p(HGNC:CHRNA7), p(HGNC:GNAQ)) hasComponent p(HGNC:GNAQ) View Subject | View Object

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.